feat(linkedin-thought-leadership): v1.0.0 — initial open-source import

Build LinkedIn thought leadership with algorithmic understanding,
strategic consistency, and AI-assisted content creation. Updated for
the January 2026 360Brew algorithm change.

16 agents, 25 commands, 6 skills, 9 hooks, 24 reference docs.

Personal data sanitized: voice samples generalized to template,
high-engagement posts cleared, region-specific references replaced
with placeholders.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Kjell Tore Guttormsen 2026-04-07 22:09:03 +02:00
commit 39f8b275a6
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# Personal LinkedIn Assets
This folder contains YOUR personalized content, frameworks, and insights that make this skill uniquely valuable to you.
## How Assets Are Used
When you ask Claude to create content, it will:
1. Check your PERSONALIZATION SETTINGS in SKILL.md
2. Reference relevant assets from these folders
3. Blend your authentic voice/examples with LinkedIn best practices
4. Generate content that sounds like YOU, optimized for the algorithm
## Folder Structure
### `/examples/`
Store your best-performing posts for pattern analysis. Claude will study these to understand what works for YOUR audience and replicate those patterns in new content.
### `/templates/`
Your custom post templates. When you develop a structure that works consistently, save it here so Claude can apply it to new content.
### `/frameworks/`
Your proprietary frameworks, models, and methodologies. When creating content, Claude will reference YOUR frameworks instead of generic ones.
### `/case-studies/`
Real examples from your work. Claude uses these for credibility and specificity instead of making up generic scenarios.
### `/research/`
Industry research, data, and trends specific to your domain. Helps Claude create data-driven posts with current, relevant information.
### `/voice-samples/`
Examples of your authentic writing from various contexts. Claude analyzes these to match your natural voice and style.
### `/audience-insights/`
Your analytics, demographics, and engagement patterns. Claude uses this to optimize content for YOUR specific audience, not generic best practices.
### `/competitors/`
Analysis of peers and influencers in your space. Helps identify content gaps and opportunities for differentiation.
## Maintenance Schedule
### Weekly (5 minutes)
- Add your best post from the week to `/examples/`
- Update posting time insights in `/audience-insights/engagement-patterns.md`
### Monthly (15 minutes)
- Analyze patterns in `/examples/` and document learnings
- Update demographics in `/audience-insights/` based on LinkedIn analytics
- Add any new frameworks developed to `/frameworks/`
### Quarterly (30 minutes)
- Refresh industry data in `/research/`
- Update competitor analysis in `/competitors/`
- Review and refine voice samples in `/voice-samples/`
## Priority Hierarchy
If there's a conflict between:
- Generic best practices (in `/references/`)
- Your personal patterns (in `/assets/`)
→ Claude will prioritize YOUR patterns (with optimization suggestions if needed)
**Exception:** If your patterns actively harm algorithmic reach (external links, engagement bait), Claude will flag this and suggest alignment with platform mechanics while maintaining your authentic voice.
## Getting Started
1. **Week 1:** Fill in PERSONALIZATION SETTINGS in SKILL.md (15 minutes)
2. **Week 2-4:** Add 2-3 voice samples to `/voice-samples/` (20 minutes)
3. **Month 2:** Start populating `/examples/` with your successful posts (ongoing)
4. **Month 3:** Add frameworks and case studies as they develop (ongoing)
The more you populate these folders, the more personalized and valuable this skill becomes. Think of it as a system that learns YOUR patterns over time.

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# LinkedIn Analytics Data
This directory contains imported analytics data from LinkedIn CSV exports.
## How to Import
1. Go to [LinkedIn Creator Analytics](https://www.linkedin.com/analytics/creator/content/)
2. Click **Export** to download a CSV of your content analytics
3. Save the CSV file to `exports/` directory
4. Run `/linkedin:import` in Claude Code
## Directory Structure
```
analytics/
├── exports/ # Place LinkedIn CSV exports here
├── posts/ # Auto-generated: imported post data (JSON)
├── weekly-reports/ # Auto-generated: weekly performance reports (JSON)
└── README.md # This file
```
## Data Format
### Post Analytics (posts/*.json)
Each file contains a batch of imported posts:
```json
{
"batchId": "batch-...",
"importedAt": "2026-01-29T...",
"exportFilename": "content-analytics.csv",
"dateRange": { "from": "2026-01-13", "to": "2026-01-28" },
"postCount": 8,
"posts": [
{
"id": "abc123",
"title": "First 100 chars of post...",
"publishedDate": "2026-01-28",
"metrics": {
"impressions": 4523,
"reactions": 87,
"comments": 23,
"shares": 12,
"clicks": 156,
"engagementRate": 6.15
}
}
]
}
```
### Weekly Reports (weekly-reports/*.json)
Generated via `/linkedin:report`. Contains:
- Summary metrics (totals, averages)
- Top and underperforming posts
- Week-over-week trends
- Performance alerts (spikes, drops)
## CLI Usage
The analytics CLI can also be invoked directly:
```bash
# Import a CSV export
ANALYTICS_ROOT=./assets/analytics node --import tsx scripts/analytics/src/cli.ts import <filename>
# Generate weekly report
ANALYTICS_ROOT=./assets/analytics node --import tsx scripts/analytics/src/cli.ts report --week 2026-W05
# Analyze trends
ANALYTICS_ROOT=./assets/analytics node --import tsx scripts/analytics/src/cli.ts trends --period month --metric impressions
```
## Privacy
All data in this directory (except this README) is gitignored. Your analytics data stays local.

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# Audience Demographics
Track WHO is actually engaging with your content. LinkedIn Analytics provides this data for free - use it to understand your real audience vs. your intended audience.
## How to Access This Data
1. Go to LinkedIn Analytics: https://www.linkedin.com/analytics/
2. Click on any post
3. Navigate to "Demographics" tab
4. Review data monthly and update this file
---
## Current Demographics (Last Updated: [Date])
### Industries (Top 10)
Based on LinkedIn Analytics → Post Analytics → Demographics
| Rank | Industry | % of Engagement | Trend |
|------|----------|----------------|--------|
| 1 | [Industry name] | [X]% | [↑/→/↓] |
| 2 | [Industry name] | [X]% | [↑/→/↓] |
| 3 | [Industry name] | [X]% | [↑/→/↓] |
| 4 | [Industry name] | [X]% | [↑/→/↓] |
| 5 | [Industry name] | [X]% | [↑/→/↓] |
| 6 | [Industry name] | [X]% | [↑/→/↓] |
| 7 | [Industry name] | [X]% | [↑/→/↓] |
| 8 | [Industry name] | [X]% | [↑/→/↓] |
| 9 | [Industry name] | [X]% | [↑/→/↓] |
| 10 | [Industry name] | [X]% | [↑/→/↓] |
**Key insights:**
- [Observation 1 - e.g., "60% from government sector, higher than expected"]
- [Observation 2 - e.g., "Tech companies underrepresented vs. my assumptions"]
- [Implication - e.g., "Should increase public sector case studies"]
---
### Job Functions (Top 10)
| Rank | Function | % of Engagement | Trend |
|------|----------|----------------|--------|
| 1 | [Function] | [X]% | [↑/→/↓] |
| 2 | [Function] | [X]% | [↑/→/↓] |
| 3 | [Function] | [X]% | [↑/→/↓] |
| 4 | [Function] | [X]% | [↑/→/↓] |
| 5 | [Function] | [X]% | [↑/→/↓] |
| 6 | [Function] | [X]% | [↑/→/↓] |
| 7 | [Function] | [X]% | [↑/→/↓] |
| 8 | [Function] | [X]% | [↑/→/↓] |
| 9 | [Function] | [X]% | [↑/→/↓] |
| 10 | [Function] | [X]% | [↑/→/↓] |
**Key insights:**
- [Who is actually engaging]
- [Implication for content framing]
---
### Seniority Levels
| Level | % of Engagement | Change vs. Last Month |
|-------|----------------|----------------------|
| Entry level | [X]% | [+/-X%] |
| Individual contributor | [X]% | [+/-X%] |
| Manager | [X]% | [+/-X%] |
| Director | [X]% | [+/-X%] |
| VP | [X]% | [+/-X%] |
| C-level | [X]% | [+/-X%] |
| Owner/Partner | [X]% | [+/-X%] |
**Key insights:**
- **Dominant level:** [Which level engages most]
- **Decision-maker presence:** [% at Director+ level]
- **Content implication:** [How technical/strategic should content be?]
---
### Geographic Distribution (Top 10 Countries)
| Rank | Country | % of Engagement | Trend |
|------|---------|----------------|--------|
| 1 | [Country] | [X]% | [↑/→/↓] |
| 2 | [Country] | [X]% | [↑/→/↓] |
| 3 | [Country] | [X]% | [↑/→/↓] |
| 4 | [Country] | [X]% | [↑/→/↓] |
| 5 | [Country] | [X]% | [↑/→/↓] |
| 6 | [Country] | [X]% | [↑/→/↓] |
| 7 | [Country] | [X]% | [↑/→/↓] |
| 8 | [Country] | [X]% | [↑/→/↓] |
| 9 | [Country] | [X]% | [↑/→/↓] |
| 10 | [Country] | [X]% | [↑/→/↓] |
**Key insights:**
- **Primary market:** [Where most engagement comes from]
- **Time zone implications:** [Optimal posting times]
- **Regional context:** [Does content need localization?]
---
### Company Size (Of Engagers)
| Size | % of Engagement | Trend |
|------|----------------|--------|
| 1-10 employees | [X]% | [↑/→/↓] |
| 11-50 | [X]% | [↑/→/↓] |
| 51-200 | [X]% | [↑/→/↓] |
| 201-500 | [X]% | [↑/→/↓] |
| 501-1000 | [X]% | [↑/→/↓] |
| 1001-5000 | [X]% | [↑/→/↓] |
| 5001-10000 | [X]% | [↑/→/↓] |
| 10000+ | [X]% | [↑/→/↓] |
**Key insights:**
- **Dominant segment:** [Enterprise/Mid-market/SMB]
- **Content implication:** [Scale of examples, budget assumptions]
- **Opportunity:** [Underserved segment to target]
---
## Intended vs. Actual Audience
### Who I Thought My Audience Was
- **Industries:** [Your original assumptions]
- **Roles:** [Your original assumptions]
- **Seniority:** [Your original assumptions]
- **Geography:** [Your original assumptions]
### Who My Audience Actually Is
- **Industries:** [Reality from data above]
- **Roles:** [Reality from data above]
- **Seniority:** [Reality from data above]
- **Geography:** [Reality from data above]
### Strategic Implications
**Content adjustments needed:**
1. [Adjustment 1 - e.g., "Increase public sector examples, decrease startup references"]
2. [Adjustment 2 - e.g., "Frame for Director-level, not just technical ICs"]
3. [Adjustment 3 - e.g., "Add European regulatory context"]
**Opportunities identified:**
1. [Opportunity 1 - e.g., "Large enterprise segment underserved by competitors"]
2. [Opportunity 2 - e.g., "Growing Nordic audience interested in topic X"]
---
## Follower vs. Engager Analysis
**Important distinction:**
- Your followers = who follows you
- Your engagers = who actually interacts with content
Often these are different groups. LinkedIn prioritizes showing your content to engagers, not just followers.
### Follower Demographics
[If you have LinkedIn Premium, note follower demographics here]
- [Key differences from engager demographics]
### Insight
[What the difference between followers and engagers tells you]
---
## Competitive Audience Analysis
How does your audience compare to key competitors/peers?
| Peer | Their Primary Industry | Their Seniority Level | Difference from Mine |
|------|----------------------|---------------------|---------------------|
| [Name] | [Industry] | [Level] | [What's different] |
| [Name] | [Industry] | [Level] | [What's different] |
| [Name] | [Industry] | [Level] | [What's different] |
**Content gap opportunity:**
[Where your unique audience positioning creates content opportunities]
---
## Month-over-Month Trends
### [Current Month] vs. [Previous Month]
**Industry shifts:**
- [What changed and why]
**Seniority shifts:**
- [What changed and why]
**Geographic shifts:**
- [What changed and why]
**Analysis:**
[What these trends indicate about content resonance and audience evolution]
---
## Update Schedule
- **Monthly:** Update all demographics from LinkedIn Analytics
- **Quarterly:** Deep analysis of trends and strategic implications
- **Yearly:** Major review of intended vs. actual audience fit
---
## Update Log
- **[Date]:** Initial demographics captured
- **[Date]:** Observed [significant change] in [demographic category]
- **[Date]:** Shifted content strategy based on [insight]

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# My Audience Engagement Patterns
Track YOUR audience's specific behaviors and preferences here. This data is more valuable than generic "best practices" because it's based on YOUR actual results.
## Update Frequency
**Weekly (5 minutes):** Update posting times and add best-performing topic from the week
**Monthly (15 minutes):** Deep dive into patterns, update demographics, analyze format performance
---
## Best Posting Times (Based on MY Data)
**Important:** These should be YOUR times based on YOUR analytics, not generic advice. Track this in LinkedIn Analytics under "Post impressions by time of day."
### Primary Posting Windows
1. **[Day] at [Time]:** Avg. impressions: [X] | Avg. engagement: [Y]
- Why this works: [e.g., "My audience (public sector leaders) checks LinkedIn during lunch break"]
2. **[Day] at [Time]:** Avg. impressions: [X] | Avg. engagement: [Y]
- Why this works: [Your analysis]
3. **[Day] at [Time]:** Avg. impressions: [X] | Avg. engagement: [Y]
- Why this works: [Your analysis]
### Worst Posting Times (To Avoid)
- [Day/Time]: [Why it underperforms for YOUR audience]
- [Day/Time]: [Why it underperforms for YOUR audience]
**Update Log:**
- [Date]: [Change observed - e.g., "Tuesday 2pm now outperforms Friday 8am"]
---
## Top-Performing Topics (Last 90 Days)
Track which topics YOUR audience actually engages with, not what you think they should care about.
1. **[Topic]:** Avg. engagement: [X] | Posts: [Y]
- Best-performing post example: [Brief description]
- Why it resonates: [Your analysis]
2. **[Topic]:** Avg. engagement: [X] | Posts: [Y]
- Best-performing post example: [Brief description]
- Why it resonates: [Your analysis]
3. **[Topic]:** Avg. engagement: [X] | Posts: [Y]
- Best-performing post example: [Brief description]
- Why it resonates: [Your analysis]
### Topics That Surprisingly Underperformed
- **[Topic]:** [Why you thought it would work] → [Why it didn't]
- **[Topic]:** [Analysis]
**Implication for content strategy:**
[What you'll do differently based on this data]
---
## Format Performance (MY Audience)
Based on YOUR analytics, not generic benchmarks. Track in LinkedIn Analytics and your own spreadsheet.
### Format Rankings (By Engagement)
1. **[Format - e.g., "Story-based posts"]:**
- Avg. impressions: [X]
- Avg. engagement rate: [Y%]
- Best time to post: [When]
- Character sweet spot: [Range]
2. **[Format - e.g., "Framework posts"]:**
- Avg. impressions: [X]
- Avg. engagement rate: [Y%]
- Best time to post: [When]
- Character sweet spot: [Range]
3. **[Format - e.g., "Data/research posts"]:**
- [Same metrics]
4. **[Format - e.g., "Case study posts"]:**
- [Same metrics]
### Visual Content Performance
- **Posts with images:** Avg. engagement: [X] vs text-only: [Y]
- **Posts with documents:** Avg. engagement: [X]
- **Posts with carousels:** Avg. engagement: [X]
- **Video posts:** Avg. engagement: [X]
**Your insights:**
[What format performs best for YOUR audience and why]
---
## Hook Types That Work for ME
Not all hook styles work for all audiences. Track which hooks YOUR audience responds to.
### Top-Performing Hook Styles
1. **[Hook type - e.g., "Counterintuitive stat"]**
- Example: [Actual hook you used]
- Avg. engagement: [X]
- Why it works for your audience: [Analysis]
2. **[Hook type - e.g., "Bold contrarian statement"]**
- Example: [Actual hook]
- Avg. engagement: [X]
- Why it works: [Analysis]
3. **[Hook type - e.g., "Personal story opening"]**
- Example: [Actual hook]
- Avg. engagement: [X]
- Why it works: [Analysis]
### Hook Styles That Don't Work for YOUR Audience
- **[Hook type]:** [Why it underperforms with your specific audience]
- **[Hook type]:** [Why it underperforms]
---
## CTA Performance Analysis
Which calls-to-action actually drive engagement from YOUR audience?
### High-Performing CTAs
1. **[CTA type - e.g., "Specific implementation question"]**
- Example: "Which stage is your organization in?"
- Avg. comments generated: [X]
2. **[CTA type]**
- Example: [Actual CTA]
- Avg. comments generated: [X]
### Low-Performing CTAs (To Avoid)
- **[CTA type]:** [Why YOUR audience doesn't respond to this]
---
## Audience Demographics (Who Actually Engages)
Based on LinkedIn Analytics → Analytics → Demographics of people who interacted with your posts
### Industries (Top 5)
1. [Industry]: [% of engagement]
2. [Industry]: [% of engagement]
3. [Industry]: [% of engagement]
4. [Industry]: [% of engagement]
5. [Industry]: [% of engagement]
**Insight:** [What this means for content focus]
### Job Functions (Top 5)
1. [Function]: [% of engagement]
2. [Function]: [% of engagement]
3. [Function]: [% of engagement]
4. [Function]: [% of engagement]
5. [Function]: [% of engagement]
**Insight:** [How this should shape your content]
### Seniority Levels
- C-level: [%]
- VP/Director: [%]
- Manager: [%]
- Individual contributor: [%]
- Entry level: [%]
**Insight:** [Technical depth and framing implications]
### Geographic Distribution (Top 5 Countries)
1. [Country]: [%]
2. [Country]: [%]
3. [Country]: [%]
4. [Country]: [%]
5. [Country]: [%]
**Insight:** [Time zone and regional context considerations]
### Company Size (Of Engagers)
- 1-10 employees: [%]
- 11-50: [%]
- 51-200: [%]
- 201-500: [%]
- 501-1000: [%]
- 1001-5000: [%]
- 5001-10000: [%]
- 10000+: [%]
**Insight:** [Scale and organizational context implications]
---
## Content Length Performance (YOUR Data)
Track the optimal length for YOUR audience, not generic advice.
- **800-1000 characters:** Avg. engagement: [X]
- **1000-1200 characters:** Avg. engagement: [X]
- **1200-1500 characters:** Avg. engagement: [X]
- **1500-1900 characters:** Avg. engagement: [X]
- **1900+ characters:** Avg. engagement: [X]
**Your sweet spot:** [Range that consistently performs best]
**Why:** [Your analysis of why this works for your audience]
---
## Engagement Velocity Patterns
How quickly does YOUR content gain traction?
### First Hour Performance
- **Average engagement in first 60 minutes:** [X] likes, [Y] comments
- **Threshold for algorithm boost:** [Based on your data, when does reach accelerate?]
- **Your current hit rate:** [% of posts that hit the threshold]
### 24-Hour Patterns
- **Most engagement happens in:** [Time window - e.g., "First 3 hours"]
- **Secondary surge times:** [If applicable]
- **Typical engagement curve:** [Description of how your posts perform over 24 hours]
---
## Strategic Insights (The "So What")
Based on all the data above, what should you do differently?
### Content Strategy Adjustments
1. **More of this:** [What data says you should double down on]
2. **Less of this:** [What data says isn't working]
3. **Test this:** [New hypotheses based on patterns]
### Audience Alignment
- **Who you thought your audience was:** [Original assumption]
- **Who actually engages:** [Reality based on data]
- **Strategic implication:** [How content should shift]
### Competitive Edge Opportunities
Based on YOUR unique audience makeup:
- **Gap 1:** [Underserved need you could fill]
- **Gap 2:** [Content angle competitors miss]
- **Gap 3:** [Format opportunity]
---
## Monthly Comparison
Track month-over-month to see if patterns are stable or shifting.
### [Current Month]
- Avg. impressions per post: [X]
- Avg. engagement per post: [Y]
- Follower growth: [+X]
- Best-performing topic: [Topic]
- Best-performing format: [Format]
### [Previous Month]
- [Same metrics for comparison]
**Key changes:** [What's different and why]
---
## Update Log
- **[Date]:** [Significant finding - e.g., "Discovered Thursday posts now outperform Tuesday"]
- **[Date]:** [Pattern shift - e.g., "Framework posts have overtaken story posts in engagement"]
- **[Date]:** [Audience insight - e.g., "Realize 60% of engagers are from enterprise, not SMB"]

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# Case Study: [Project Name / Organization]
Real examples from your work provide credibility and specificity that generic scenarios can't match. Use this template to document case studies Claude can reference in posts.
---
## Case Study Overview
**Project name:** [e.g., "RAG Implementation at [Organization]"]
**Organization type:** [e.g., "Large public sector organization, 5000+ employees"]
**Industry:** [e.g., "Government / Transportation"]
**Timeline:** [e.g., "January - June 2024 (6 months)"]
**Your role:** [e.g., "AI Advisor, led implementation"]
**One-sentence summary:** [e.g., "Implemented contextual retrieval RAG system that reduced manual document processing time by 40% while improving answer accuracy."]
---
## The Challenge
### Business Context
[What was happening in the organization that created the need?]
- [Context point 1]
- [Context point 2]
### Specific Problem
[What specific pain point were you solving?]
- **Symptom 1:** [Observable problem]
- **Symptom 2:** [Observable problem]
- **Root cause:** [What was actually driving the symptoms]
### Why It Mattered
- **Impact on operations:** [How problem affected daily work]
- **Cost/time implications:** [Quantifiable impact if available]
- **Strategic importance:** [Why leadership cared]
### Previous Attempts
[What had they tried before that didn't work?]
- **Attempt 1:** [What they did] → [Why it failed]
- **Attempt 2:** [What they did] → [Why it failed]
---
## The Approach
### Initial Assessment
[How you diagnosed the situation]
- **Key finding 1:** [What you discovered]
- **Key finding 2:** [What you discovered]
- **Strategic decision:** [Based on findings, what approach did you choose?]
### Solution Design
[What you built/implemented - be specific]
**Architecture:**
- [Component 1 and why]
- [Component 2 and why]
- [Component 3 and why]
**Key decisions:**
1. **[Decision 1 - e.g., "Used Azure AI Search vs. building custom"]**
- Why: [Rationale]
- Trade-off: [What you gave up]
2. **[Decision 2]**
- Why: [Rationale]
- Trade-off: [What you gave up]
### Implementation Timeline
- **Week 1-2:** [Phase 1 activities]
- **Week 3-6:** [Phase 2 activities]
- **Week 7-12:** [Phase 3 activities]
- **Ongoing:** [Maintenance/iteration]
### Challenges Encountered
**Challenge 1:** [What went wrong]
- How we addressed it: [Solution]
- Learning: [What you'd do differently]
**Challenge 2:** [What went wrong]
- How we addressed it: [Solution]
- Learning: [What you'd do differently]
---
## The Results
### Quantitative Outcomes
- **[Metric 1]:** [Before] → [After] ([X%] improvement)
- **[Metric 2]:** [Before] → [After] ([X%] improvement)
- **[Metric 3]:** [Before] → [After] ([X%] improvement)
**ROI:** [If calculable - cost vs. benefit]
### Qualitative Outcomes
- **User feedback:** [What people said]
- **Process improvements:** [Non-quantifiable benefits]
- **Capability development:** [New skills/capacities gained]
### Unexpected Benefits
[Things you didn't anticipate but that emerged]
- [Benefit 1]
- [Benefit 2]
---
## Key Learnings
### What Worked
1. **[Tactic/approach]:** [Why it was effective]
2. **[Tactic/approach]:** [Why it was effective]
3. **[Tactic/approach]:** [Why it was effective]
### What Didn't Work
1. **[Approach that failed]:** [Why + what you learned]
2. **[Approach that failed]:** [Why + what you learned]
### Non-Obvious Insights
[The lessons that only came from doing the work]
- [Insight 1]
- [Insight 2]
- [Insight 3]
### Replicable Patterns
[What from this case can transfer to other contexts?]
- [Pattern 1]
- [Pattern 2]
---
## LinkedIn Post Angles
### Angle 1: Results-First Post
**Hook:** "We reduced [metric] by [X%] in [timeframe]. Here's the system we built..."
**Structure:**
- Lead with compelling result
- Brief context (the challenge)
- High-level solution overview
- 1-2 key decisions that mattered most
- CTA: Ask if they face similar challenge
**Best for:** Building credibility, attracting similar opportunities
---
### Angle 2: Before/After Transformation
**Hook:** "Six months ago, [organization] was [painful situation]. Today, [transformed situation]. Here's what changed..."
**Structure:**
- Paint the before picture
- Turning point / moment of decision
- The intervention
- The after state
- Key enabler of transformation
- CTA: Ask where others are in similar journey
**Best for:** Storytelling, emotional engagement
---
### Angle 3: Single Decision Deep-Dive
**Hook:** "The decision to [specific choice] was controversial. Here's why it was right..."
**Structure:**
- The decision point
- Arguments against
- Why we chose it anyway
- How it played out
- What we learned
- CTA: Ask what others would have done
**Best for:** Thought leadership, showing expertise
---
### Angle 4: Failure Lessons
**Hook:** "[Approach] should have worked. It didn't. Here's what we learned..."
**Structure:**
- What we tried that failed
- Why we thought it would work
- What actually happened
- The pivot
- The learning
- CTA: Ask if others have failed similarly
**Best for:** Authenticity, building trust through vulnerability
---
## Confidentiality & Permissions
**Public information:** [What can be shared freely]
**Anonymized information:** [What can be shared if org name removed]
**Confidential:** [What cannot be shared]
**Permission level:** [What you've been cleared to discuss publicly]
**Client approval:** [Date if you got explicit permission to use as case study]
---
## Supporting Materials
**Screenshots/diagrams:** [If available, note location]
**Metrics dashboard:** [If you have data visualization]
**Testimonials:** [If you have quotes from stakeholders]
**Press coverage:** [If project was publicly recognized]
---
## Update Log
- **[Date]:** Initial case study documentation
- **[Date]:** Added outcome metrics after 6-month mark
- **[Date]:** Updated with long-term results

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# Post Quality Scorecard (Pre-Publish Check)
Use this scorecard before publishing ANY post to predict performance.
---
## Scoring System
Rate each criterion 0-3:
- 0 = Missing/Poor
- 1 = Basic
- 2 = Good
- 3 = Excellent
---
## Profile Alignment (Weight: 2x)
| Criterion | Score | Notes |
|-----------|-------|-------|
| Topic matches your 5 core areas | /3 | Algorithm checks expertise |
| Consistent with recent content | /3 | Topical authority signal |
| Language/tone matches profile | /3 | Authenticity marker |
| **Subtotal** | /9 x 2 = **/18** | |
---
## Hook Strength (Weight: 2x)
| Criterion | Score | Notes |
|-----------|-------|-------|
| Works in 140 characters | /3 | Mobile threshold |
| Creates curiosity gap | /3 | Click-through driver |
| Promises clear value | /3 | Worth reading? |
| **Subtotal** | /9 x 2 = **/18** | |
---
## Dwell Time Potential (Weight: 1.5x)
| Criterion | Score | Notes |
|-----------|-------|-------|
| Length 1,200-1,800 characters | /3 | Optimal range |
| White space formatting | /3 | Easy to read |
| Encourages re-reading | /3 | Saves, bookmarks |
| **Subtotal** | /9 x 1.5 = **/13.5** | |
---
## Engagement Triggers (Weight: 1.5x)
| Criterion | Score | Notes |
|-----------|-------|-------|
| CTA invites 15+ word comments | /3 | High-value engagement |
| Shareable (others want to amplify) | /3 | Viral potential |
| Save-worthy (reference value) | /3 | Top algorithm signal |
| **Subtotal** | /9 x 1.5 = **/13.5** | |
---
## Format Optimization (Weight: 1x)
| Criterion | Score | Notes |
|-----------|-------|-------|
| Right format for content | /3 | Carousel/text/image |
| Mobile-optimized | /3 | 70% mobile users |
| No external links in body | /3 | Avoid penalty |
| **Subtotal** | /9 x 1 = **/9** | |
---
## Voice Authenticity (Weight: 1x)
| Criterion | Score | Notes |
|-----------|-------|-------|
| Sounds like the author (not generic AI) | /3 | Check against voice samples |
| Uses natural contractions and phrasing | /3 | Conversational, not formal |
| Includes specific personal detail or anecdote | /3 | Personal observation or reference |
| **Subtotal** | /9 x 1 = **/9** | |
---
## Total Score: /81
### Pass/Fail Thresholds
| Score | Action |
|-------|--------|
| **57+** | Excellent - post with confidence |
| **46-56** | Good - consider one improvement |
| **34-45** | Review needed - improve weakest area |
| **Under 34** | Don't post - rework significantly |
---
## 360Brew Validation (Critical)
Before posting, verify your profile passes the 360Brew test:
- [ ] Profile clearly shows expertise in post topic
- [ ] Headline includes relevant keywords
- [ ] Recent activity supports topical authority
- [ ] Featured section demonstrates credibility
**If profile doesn't support the post topic, fix profile FIRST.**
---
## Quick Score (30-Second Version)
For quick posts, use this simplified check:
1. On-topic for my expertise? (Y/N)
2. Hook works in 140 chars? (Y/N)
3. Clear value delivered? (Y/N)
4. Ends with engagement prompt? (Y/N)
5. No external links in body? (Y/N)
**All 5 = Yes? -> Post it.**
**Any No? -> Fix first.**
---
## Pre-Publish Basic Checklist
Before finalizing any post, verify:
- [ ] Hook works in first 110-140 characters
- [ ] Character count within optimal range
- [ ] Short paragraphs with white space
- [ ] Tone is authentic, not corporate
- [ ] Provides genuine value to readers
- [ ] CTA is specific and natural
- [ ] Passes the "mobile test" (readable on phone)
- [ ] Passes thought leadership test: Does it help someone make a better decision or think differently?

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# This directory stores content drafts

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# High-Engagement Posts Collection
Store your top-performing posts here for pattern analysis. Add 5-10 of your best posts to identify what consistently works for YOUR audience.
## How to Use This File
After each successful post (high engagement relative to your baseline):
1. Copy the full post text below
2. Note engagement metrics and timing
3. Analyze WHY it worked (hook, angle, timing, CTA)
4. Document the replicable pattern
Claude will study these to understand your successful patterns and apply them to new content.
---
<!-- Add your posts here using this format:
## Post 1: [Title/Topic]
**Posted:** [Date, time, timezone]
**Engagement:** Likes: [N] | Comments: [N] | Shares: [N]
**Reach:** [N] impressions
**Engagement Rate:** [N]%
**Your Follower Count:** ~[N]
**The Post:**
```
[Paste your full post text here]
```
**Why It Worked:**
- **Hook:** [What made people stop scrolling?]
- **Angle:** [What framing did you use?]
- **Timing:** [Was the timing good/bad?]
- **CTA:** [Did you include a call-to-action?]
**Pattern to Replicate:**
- [What can you reuse in future posts?]
**Audience Response Themes:**
- [What did people comment about?]
---
-->
## Patterns Across All High-Performing Posts
**Common Elements:**
- [ ] Specific numbers in hook
- [ ] Personal story structure (I did X, here's what happened)
- [ ] Concrete timeline and details
- [ ] Strong CTA
- [ ] Optimal timing
**Audience Preferences (What YOUR Audience Responds To):**
- Format: [Discover from your data]
- Length: [Your typical length]
- Tone: [Your tone pattern]
- CTAs: [What works for your audience?]
**Topics That Resonate:**
1. [Add after 3+ posts]
2. [More data needed]
3. [More data needed]
**Best Posting Times (Based on YOUR Data):**
- Primary: [Test and record]
- Secondary: [Test and record]
- **Avoid:** [Based on your data]

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# [Framework Name - e.g., "The 3-Stage RAG Maturity Model"]
## Overview
**One-sentence description:** [What this framework does - e.g., "A diagnostic tool for assessing and advancing organizational RAG implementation from basic to advanced."]
**Problem it solves:** [What challenge this addresses - e.g., "Most organizations don't know where they are in their RAG journey or what to do next."]
**Who it's for:** [Target audience - e.g., "Enterprise architects and AI leaders implementing RAG solutions."]
---
## The Framework
[Detailed explanation of your framework - be specific about the components, stages, or elements]
### Component 1: [Name - e.g., "Stage 1: Basic RAG"]
**Definition:** [Clear description]
**Characteristics:**
- [Key trait 1]
- [Key trait 2]
- [Key trait 3]
**Common challenges at this stage:**
- [Challenge 1]
- [Challenge 2]
**What success looks like:**
[Measurable outcomes]
---
### Component 2: [Name - e.g., "Stage 2: Enhanced RAG"]
**Definition:** [Clear description]
**Characteristics:**
- [Key trait 1]
- [Key trait 2]
- [Key trait 3]
**Common challenges at this stage:**
- [Challenge 1]
- [Challenge 2]
**What success looks like:**
[Measurable outcomes]
---
### Component 3: [Name - e.g., "Stage 3: Advanced RAG"]
**Definition:** [Clear description]
**Characteristics:**
- [Key trait 1]
- [Key trait 2]
- [Key trait 3]
**Common challenges at this stage:**
- [Challenge 1]
- [Challenge 2]
**What success looks like:**
[Measurable outcomes]
---
## How to Use This Framework
**Diagnostic questions:**
1. [Question to determine current stage/position]
2. [Question to identify gaps]
3. [Question to prioritize next steps]
**Implementation pathway:**
1. [Step 1]
2. [Step 2]
3. [Step 3]
---
## LinkedIn Post Angle Options
When creating posts about this framework, here are proven angles:
### Angle 1: Framework Introduction
**Hook:** "Most [target audience] struggle with [problem]. I developed a framework that [solution]."
**Structure:**
- Introduce the problem
- Present the framework overview
- Briefly explain each component
- Provide diagnostic question
- CTA: Ask where they are in the framework
**Expected engagement:** [Medium-High for framework lovers]
---
### Angle 2: Deep Dive on One Component
**Hook:** "[Stage/Component Name] is where most [target audience] get stuck. Here's why..."
**Structure:**
- Focus on single component in depth
- Common mistakes at this stage
- How to progress to next level
- Real example if available
- CTA: Ask about their experience at this stage
**Expected engagement:** [High for people at that stage]
---
### Angle 3: Case Study Application
**Hook:** "We helped [Company/Org Type] move from [Stage A] to [Stage B] in [Time]. Here's how..."
**Structure:**
- Starting situation (Stage A characteristics)
- Challenge/tension
- Intervention using framework
- Results (Stage B outcomes)
- Key lesson
- CTA: Ask what stage they're at
**Expected engagement:** [Very High - specificity + results]
---
### Angle 4: Contrarian Take
**Hook:** "Everyone talks about [common approach]. But the framework shows that [contrarian insight]."
**Structure:**
- Challenge conventional wisdom
- Explain why most approaches fail (using framework lens)
- Present alternative pathway
- Evidence from your framework
- CTA: Ask if they've experienced this
**Expected engagement:** [High if insight is strong]
---
## Visual Assets
**Diagram location:** [Path to visual in /visual-assets/ folder if applicable]
**Visual description:** [Describe the diagram - useful for recreating in posts]
**When to use visuals:**
- Introduction posts (show full framework)
- LinkedIn carousel (break down each component)
- Workshop/webinar materials
---
## Real-World Results
Document actual results from applying this framework:
### Case 1: [Organization/Context]
- **Starting point:** [Where they were]
- **Applied framework:** [How]
- **Outcome:** [Measurable result]
- **Timeline:** [Duration]
### Case 2: [Organization/Context]
- **Starting point:** [Where they were]
- **Applied framework:** [How]
- **Outcome:** [Measurable result]
- **Timeline:** [Duration]
### Case 3: [Organization/Context]
- [Same structure]
**Aggregate impact:**
[Overall statistics if you have multiple implementations]
---
## Common Misconceptions
What people get wrong about this framework:
1. **Misconception:** [What they think]
- **Reality:** [Actual truth]
- **Why it matters:** [Implication]
2. **Misconception:** [What they think]
- **Reality:** [Actual truth]
- **Why it matters:** [Implication]
---
## Evolution of This Framework
**Origin:** [How you developed this - gives credibility]
**Refinements over time:**
- **Version 1.0:** [Initial version]
- **Version 2.0:** [What you changed based on real-world application]
- **Current version:** [Latest insights]
**Future development:**
[Where you're taking this next]
---
## Integration with Other Frameworks
If this framework connects to or builds on other methodologies:
**Complements:** [Other frameworks it works with]
**Differs from:** [What makes this unique vs. similar approaches]
**Can be combined with:** [Synergistic frameworks]
---
## Credibility Markers
When referencing this framework in posts, use these credibility indicators:
- ✅ "Developed over [X] projects with [Y] organizations"
- ✅ "Validated through [specific results]"
- ✅ "Based on [research/analysis] of [data set]"
- ❌ Avoid: "Revolutionary", "Game-changing", other hype
**Authority stance:** [How you position yourself - e.g., "Practitioner sharing what worked, not guru claiming universal truth"]
---
## Update Log
- **[Date]:** Created framework based on [initial observations]
- **[Date]:** Refined after [new learnings/applications]
- **[Date]:** Added [new component/insight]

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# This directory stores content plans

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# Quick Post Resources
Copy-paste hooks and CTAs for fast post creation.
---
## Hooks Bank
Copy these hooks and customize for your topic:
### Data/Numbers Hooks
- "After [number] [time period], here's what I've learned:"
- "[Percentage] of [group] are doing this wrong:"
- "Tracked [metric] for [duration]. The results:"
- "[Number] [thing] that [outcome]:"
### Story Hooks
- "This morning, something clicked:"
- "Had a conversation yesterday that shifted my thinking:"
- "True story from this week:"
- "What I didn't expect when I [action]:"
### Contrarian Hooks
- "Stop [common advice]. Here's why:"
- "The advice that's actually hurting you:"
- "What everyone gets wrong about [topic]:"
- "I used to believe [common belief]. Not anymore."
### Question Hooks
- "Why doesn't anyone talk about [overlooked topic]?"
- "Am I the only one who thinks [observation]?"
- "Honest question: How do you handle [challenge]?"
- "When did [problematic trend] become normal?"
### Curiosity Hooks
- "There's a pattern I keep seeing:"
- "Something doesn't add up about [topic]:"
- "The thing that surprised me most about [experience]:"
- "Hidden in plain sight:"
### Authority Hooks
- "After [years/experience] in [field], one truth:"
- "The framework that changed my approach to [topic]:"
- "What I tell everyone who asks about [topic]:"
- "The non-obvious lesson from [experience]:"
### Urgency Hooks
- "If you're struggling with [problem], read this:"
- "Save this for when [situation] happens:"
- "Before you [common action], consider this:"
- "Don't make the same mistake I made with [topic]:"
---
## Hook Formulas by Angle
### Contrarian
- "Unpopular opinion: [your take]"
- "Everyone's talking about X. Nobody's talking about Y."
- "The advice that worked in [year] is hurting you now."
- "What if [common practice] is actually the problem?"
### Validating
- "Tried [approach]. Results after [timeframe]:"
- "The data confirms what we suspected about [topic]."
- "Proof that [strategy] actually works:"
- "After testing for [duration], here's what I found."
### Curious
- "Genuine question: Why do we [common practice]?"
- "I've been thinking about [observation]. Anyone else?"
- "What's stopping us from [alternative approach]?"
- "Why does [pattern] keep happening?"
### Helpful
- "A tiny change that made [specific improvement]:"
- "Wish I knew this earlier about [topic]:"
- "The simple fix for [common problem]:"
- "Save this for when you [situation]."
### Surprised
- "I was wrong about [topic]. Here's what changed:"
- "Didn't see this coming:"
- "This result surprised me:"
- "Plot twist in my [project/work]:"
### Frustrated
- "Can we stop pretending [myth] is true?"
- "This needs to change in [industry/topic]:"
- "Tired of seeing [problematic pattern]."
- "Why are we still [outdated practice]?"
### Excited
- "This changes everything about [topic]:"
- "Just discovered [thing]. Game changer."
- "Finally, something that actually works for [problem]."
- "This is why I'm excited about [development]."
### Reflective
- "X years later, here's what actually mattered:"
- "Looking back, the turning point was..."
- "The lesson I keep relearning:"
- "What I'd tell myself when I started:"
---
## CTAs Bank
End with one of these to prompt engagement:
### Question CTAs (spark conversation)
- "What's your take?"
- "Anyone else experiencing this?"
- "How do you handle this?"
- "Agree or disagree?"
- "What am I missing?"
- "What would you add?"
### Challenge CTAs (invite debate)
- "Change my mind."
- "Fight me on this."
- "Prove me wrong."
- "Tell me I'm overthinking this."
### Share CTAs (gather perspectives)
- "Drop your version in the comments."
- "What's worked for you?"
- "Share your example."
- "I'll start: [your example]"
### Validation CTAs (build community)
- "Like if you've been there."
- "Repost if this resonates."
- "Save this for later."
- "Tag someone who needs to hear this." (Use sparingly - can trigger engagement bait detection)
### Follow-up CTAs (continue conversation)
- "More on this tomorrow."
- "Part 2 coming soon."
- "DM me if you want the full breakdown."
- "I'll share the details in comments."
---
## Quick Post Quality Checklist
Before posting, verify in 30 seconds:
- [ ] Hook works standalone in 140 characters (mobile "see more" threshold)
- [ ] Under 500 characters total (if over, consider full workflow)
- [ ] ONE clear point (not multiple competing ideas)
- [ ] Ends with engagement prompt
- [ ] Aligns with your 3-5 core topics (topical authority)
- [ ] Provides value (insight, perspective, or question worth answering)
- [ ] Sounds like YOU (not generic LinkedIn-speak)
- [ ] No external links in post body (save for comments if needed)
---
## Timing for Quick Posts
### Best times
- Early morning (7-8am local) - Catch commuters
- Lunch break (12-1pm local) - Mid-day scroll
- Late afternoon (5-6pm local) - End of workday wind-down
### Quick posts work especially well when:
- You can engage in comments for the first 30 minutes
- As "bookends" to your more substantial posts
- When news breaks (react quickly, establish perspective)
- During your audience's natural engagement windows
### Avoid posting quick posts:
- Right before going offline for hours
- When you won't be able to respond to comments
- On your "big post" days (cannibalization)
---
## Common Mistakes to Avoid
1. **Too many ideas in one post**
- Symptom: Post feels scattered, CTA is unclear
- Fix: Pick ONE idea. Save others for separate posts.
2. **Burying the hook**
- Symptom: Best part is in paragraph 3
- Fix: Lead with the most interesting element
3. **No engagement prompt**
- Symptom: People read but don't respond
- Fix: Always end with question or invitation
4. **Generic observations**
- Symptom: Could be written by anyone
- Fix: Add YOUR specific perspective or experience
5. **Over-explaining**
- Symptom: 400 characters explaining what could be said in 100
- Fix: Trust your audience. Delete unnecessary context.
6. **Wrong topic for quick format**
- Symptom: You keep wanting to add "but also..." and "and another thing..."
- Fix: Switch to full workflow. This isn't a quick post topic.
7. **No connection to expertise**
- Symptom: Random observation outside your lanes
- Fix: Either connect to your core topics or skip it
8. **Engagement bait disguised as question**
- Symptom: "Type 1 if you agree, 2 if you don't"
- Fix: Ask genuine questions you care about answering

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# Carousel Templates
Slide-by-slide blueprints for LinkedIn carousels (PDF document posts). Carousels have the highest engagement rate of all LinkedIn formats (6.6%) because they maximize dwell time and encourage swipe completion.
## Universal Design Specs
- **Slide dimensions:** 1080 x 1350 px (4:5 portrait, recommended)
- **Font:** Sans-serif, minimum 24pt body, 36pt+ headlines
- **Colors:** Max 3 per carousel (background, text, accent)
- **Text per slide:** 5-7 lines maximum
- **Optimal length:** 8-10 slides (including cover and CTA)
- **Export format:** PDF
- **Caption length:** 300-500 characters with hook and context
---
## Template 1: How-To Guide
**Best for:** Teaching a process, explaining a method, step-by-step instructions
**Structure:** 8-10 slides
| Slide | Purpose | Content Pattern |
|-------|---------|-----------------|
| 1 | Cover/Hook | Bold question or promise: "How to [achieve X] in [timeframe]" |
| 2 | Problem | "Most people [common mistake]. Here's what actually works." |
| 3 | Step 1 | **Step name** + 2-3 lines of explanation |
| 4 | Step 2 | **Step name** + 2-3 lines of explanation |
| 5 | Step 3 | **Step name** + 2-3 lines of explanation |
| 6 | Step 4 | **Step name** + 2-3 lines of explanation |
| 7 | Step 5 | **Step name** + 2-3 lines of explanation |
| 8 | Common mistakes | "3 mistakes to avoid: [quick list]" |
| 9 | Summary | Recap all steps in a numbered list |
| 10 | CTA | "Save this for later. Follow for more [topic]." |
**Cover slide formula:**
```
How to [specific outcome]
(without [common pain point])
[Your name] | [Your title]
```
**Step slide formula:**
```
Step [N]: [Action verb] + [Object]
[2-3 sentences explaining the step]
Pro tip: [One practical detail]
```
**Caption template:**
```
Most [audience] struggle with [problem].
I've been doing [process] for [timeframe], and here's the method that consistently works.
Swipe through for the full breakdown.
Save this if you want to come back to it later.
#[topic] #[niche] #[format]
```
---
## Template 2: Listicle / Top N
**Best for:** Curated lists, tool recommendations, lessons learned, tips
**Structure:** 8-12 slides (1 item per slide)
| Slide | Purpose | Content Pattern |
|-------|---------|-----------------|
| 1 | Cover/Hook | "[N] [things] every [audience] should know about [topic]" |
| 2 | Item 1 | **Name/Title** + Why it matters (2-3 lines) |
| 3 | Item 2 | **Name/Title** + Why it matters |
| 4 | Item 3 | **Name/Title** + Why it matters |
| 5 | Item 4 | **Name/Title** + Why it matters |
| 6 | Item 5 | **Name/Title** + Why it matters |
| 7 | Item 6 | **Name/Title** + Why it matters |
| 8 | Item 7 | **Name/Title** + Why it matters |
| 9 | Bonus | "One more that most people miss: [unexpected item]" |
| 10 | CTA | "Which one was new to you? Tell me in the comments." |
**Cover slide formula:**
```
[N] [things] that changed how I
[outcome]
(#[N] surprised me the most)
```
**Item slide formula:**
```
#[N]: [Item name]
[Why it matters in 2-3 lines]
[Optional: One specific example or data point]
```
**Caption template:**
```
I spent [timeframe] learning about [topic].
Here are [N] things I wish someone told me from the start.
#[N] is the one most people get wrong.
Which one resonates most? Drop a number in the comments.
```
---
## Template 3: Story / Before-After
**Best for:** Personal narratives, transformation stories, lessons from failure
**Structure:** 8-10 slides
| Slide | Purpose | Content Pattern |
|-------|---------|-----------------|
| 1 | Cover/Hook | "How [situation] changed everything I knew about [topic]" |
| 2 | Setting | "[Timeframe] ago, I was [situation]." |
| 3 | Problem | "The problem: [specific challenge in 2-3 lines]" |
| 4 | Turning point | "Then [event/realization] happened." |
| 5 | What changed | "I started [new approach]. Here's what shifted:" |
| 6 | Result 1 | **Before:** [old state] → **After:** [new state] |
| 7 | Result 2 | **Before:** [old state] → **After:** [new state] |
| 8 | Result 3 | **Before:** [old state] → **After:** [new state] |
| 9 | Lesson | "The real lesson: [insight in 2-3 lines]" |
| 10 | CTA | "Has this happened to you? I'd love to hear your story." |
**Cover slide formula:**
```
[Time period] ago, I [starting state].
Today, [current state].
Here's what changed.
```
**Before/After slide formula:**
```
BEFORE:
[Specific old behavior or result]
AFTER:
[Specific new behavior or result]
The difference: [one-line insight]
```
**Caption template:**
```
[Timeframe] ago, I made a mistake that [consequence].
Looking back, it was the best thing that could have happened.
Swipe through for the full story and the lesson I learned.
What's a mistake that turned into your biggest learning?
```
---
## Template 4: Comparison / vs.
**Best for:** Tool comparisons, approach differences, myth-busting, framework contrasts
**Structure:** 8-10 slides
| Slide | Purpose | Content Pattern |
|-------|---------|-----------------|
| 1 | Cover/Hook | "[Option A] vs [Option B]: Which one actually works?" |
| 2 | Context | "Everyone argues about [topic]. Here's what the data says." |
| 3 | Dimension 1 | **[Criteria]:** A = [detail] / B = [detail] |
| 4 | Dimension 2 | **[Criteria]:** A = [detail] / B = [detail] |
| 5 | Dimension 3 | **[Criteria]:** A = [detail] / B = [detail] |
| 6 | Dimension 4 | **[Criteria]:** A = [detail] / B = [detail] |
| 7 | Dimension 5 | **[Criteria]:** A = [detail] / B = [detail] |
| 8 | Summary table | Side-by-side with checkmarks/scores |
| 9 | Verdict | "My recommendation: [nuanced answer based on context]" |
| 10 | CTA | "Which one do you use? Agree or disagree with my verdict?" |
**Cover slide formula:**
```
[Option A] vs. [Option B]
I tested both.
Here's what I found.
```
**Comparison slide formula:**
```
[Criteria name]
[Option A]: [Rating or description]
[Option B]: [Rating or description]
Winner: [A or B] (because [one-line reason])
```
**Caption template:**
```
"Should I use [A] or [B]?"
I get asked this [frequency]. So I compared them across [N] dimensions.
The answer isn't what you'd expect.
Swipe through for the breakdown. My verdict is on slide [N].
```
---
## Template 5: Framework / Mental Model
**Best for:** Original frameworks, decision matrices, thinking models
**Structure:** 8-10 slides
| Slide | Purpose | Content Pattern |
|-------|---------|-----------------|
| 1 | Cover/Hook | "The [Name] Framework: How to [outcome]" |
| 2 | Problem | "Why most [audience] fail at [topic]" |
| 3 | Overview | Visual diagram or named components of the framework |
| 4 | Component 1 | **Name** + What it means + How to apply |
| 5 | Component 2 | **Name** + What it means + How to apply |
| 6 | Component 3 | **Name** + What it means + How to apply |
| 7 | Component 4 | **Name** + What it means + How to apply |
| 8 | Example | "Here's what it looks like in practice: [specific scenario]" |
| 9 | Quick-start | "Start here: [simplest first step]" |
| 10 | CTA | "Save this framework. Tag someone who needs it." |
**Cover slide formula:**
```
The [Name] Framework
[One-line promise of what it enables]
[Optional: diagram or visual representation]
```
**Component slide formula:**
```
[Component Name]
What: [Definition in 1 line]
Why: [Why it matters in 1 line]
How: [Actionable step in 1-2 lines]
```
---
## Caption Best Practices
Carousels need strong captions because the caption appears alongside the cover slide. A weak caption means no one swipes.
**Caption structure:**
1. **Hook** (first line): Question, bold claim, or surprising stat
2. **Context** (1-2 lines): Why this matters to your audience
3. **Swipe prompt**: "Swipe through for..." or "Slide [N] is the one most miss"
4. **Engagement CTA**: Question that invites comments
5. **Hashtags**: 3-4 maximum, at the end
**Do:**
- Reference a specific slide to create curiosity
- Ask which point resonated most
- Tell them to save it for later
**Don't:**
- Write a long caption that says everything the slides say
- Use "link in comments" (carousel IS the content)
- Add more than 4 hashtags
## Carousel Quality Checklist
- [ ] Cover slide has a clear promise or question
- [ ] Each slide has one point (not multiple ideas)
- [ ] Text is readable on mobile without zooming (24pt+ body)
- [ ] 8-10 slides total (not 4, not 20)
- [ ] Last slide has a clear CTA
- [ ] Caption hooks attention and prompts swipe
- [ ] Consistent font, colors, and layout across all slides
- [ ] Exported as PDF, under 100 MB

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# LinkedIn Article Template
Use this template when creating LinkedIn Articles (long-form content, 1,500-2,500 words).
## Article Metadata
```yaml
title: "[60-80 characters, keyword-rich]"
target_length: 1500-2500 words
reading_time: 8-12 minutes
primary_keyword: "[main search term]"
secondary_keywords: ["keyword2", "keyword3"]
target_audience: "[specific reader profile]"
article_goal: "[what should reader do/feel/know after reading]"
```
## Article Structure
### Title (60-80 characters)
**Format options:**
- How to [achieve outcome] (Without [common obstacle])
- The [Number] [Things] That [Outcome]
- Why [Common Belief] Is Wrong (And What to Do Instead)
- What [Time Period] Taught Me About [Topic]
- [Topic]: The Complete Guide for [Audience]
**Your title:**
```
[WRITE TITLE HERE]
```
**Checklist:**
- [ ] Contains primary keyword
- [ ] Promises clear value
- [ ] Under 80 characters
- [ ] Not clickbait
---
### Opening Hook (First 2-3 paragraphs, 150-250 words)
**Purpose:** Grab attention, establish why this matters NOW, preview value
**Template:**
```
[Opening hook - surprising stat, bold claim, or compelling question]
[Why this matters to the reader - what problem does it solve?]
[What the reader will learn/gain from this article]
[Brief credibility statement - why you can speak on this]
```
**Your opening:**
```
[WRITE OPENING HERE]
```
---
### Context Section (200-400 words)
**Purpose:** Provide background needed to understand the main content
**Template:**
```
## The Background You Need
[Brief history or context of the topic]
[Current state of affairs]
[Why now is the right time to address this]
[Any key definitions or concepts needed]
```
**Your context section:**
```
[WRITE CONTEXT HERE]
```
---
### Main Content (1,000-1,800 words)
**Purpose:** Deliver the core value - insights, framework, how-to
**Structure options:**
**Option A: Numbered sections**
```
## 1. [First Main Point]
[Explanation of point]
[Example or evidence]
[How to apply this]
## 2. [Second Main Point]
[Repeat structure]
## 3. [Third Main Point]
[Repeat structure]
```
**Option B: Problem-Solution**
```
## The Problem
[Detailed problem description]
## Why Traditional Approaches Fail
[Analysis of common approaches]
## A Better Approach
[Your solution/framework]
## How to Implement
[Step-by-step guidance]
```
**Option C: Narrative**
```
## The Beginning
[Story setup]
## The Challenge
[What happened]
## The Turning Point
[Key realization]
## The Result
[Outcome and lessons]
## The Broader Application
[How readers can apply this]
```
**Your main content:**
```
[WRITE MAIN CONTENT HERE]
```
---
### Conclusion (150-250 words)
**Purpose:** Summarize, synthesize, and call to action
**Template:**
```
## What This Means for You
[Brief recap of key points - 2-3 sentences max]
[The bigger picture / why this matters]
[Specific next steps the reader can take]
[Call to action - discussion question or invitation to connect]
```
**Your conclusion:**
```
[WRITE CONCLUSION HERE]
```
---
### Article Footer
```
---
[Optional: About the author section - 2-3 sentences]
[Optional: Related articles or resources]
[Tags/hashtags: 3-5 relevant]
```
---
## Pre-Publication Checklist
### Content Quality
- [ ] Title is compelling and keyword-optimized
- [ ] Opening hooks the reader immediately
- [ ] Main content delivers on the title's promise
- [ ] Examples are specific and relevant
- [ ] Conclusion has clear takeaways
- [ ] Word count is 1,500-2,500
### SEO Optimization
- [ ] Primary keyword in title
- [ ] Primary keyword in first 100 words
- [ ] Keywords naturally distributed throughout
- [ ] Subheadings are descriptive
- [ ] Images have alt text
### Formatting
- [ ] Short paragraphs (3-4 sentences max)
- [ ] Clear section headings
- [ ] Bullet points for lists
- [ ] Tables for comparisons
- [ ] White space for readability
- [ ] Mobile-friendly formatting
### Attribution
- [ ] All sources credited
- [ ] External links working
- [ ] Quotes properly attributed
- [ ] No plagiarism
---
## Promotion Timeline
### Pre-Publication (1 week before)
**Day -7:**
- [ ] Tease the topic in a post (generate interest)
**Day -3:**
- [ ] Second tease post (share one insight from article)
**Day -1:**
- [ ] Engage actively with your network (5x5x5 method)
### Publication Day
**Morning (publication):**
- [ ] Publish article
- [ ] Create promotional post (not just a link)
- [ ] Share key insight with article link in comments
**Throughout the day:**
- [ ] Respond to all comments on article
- [ ] Respond to all comments on promotional post
- [ ] Thank people who share
### Post-Publication (1-4 weeks after)
**Week 1:**
- [ ] Create 2-3 derivative posts from article content
- [ ] Each post links back to full article in comments
**Week 2:**
- [ ] Create carousel version of key points (if applicable)
- [ ] Reference article in relevant conversations
**Week 3-4:**
- [ ] Continue derivative content
- [ ] Update article if new information emerges
### Ongoing
- [ ] Add to Featured section on profile
- [ ] Reference in future relevant posts
- [ ] Update quarterly if evergreen topic
---
## Promotional Post Template
Use this to promote your article (don't just share the link):
```
[Hook - the most valuable insight from the article]
[Why this matters - 2-3 sentences]
[What the reader will learn - bullet points]
- Point 1
- Point 2
- Point 3
[Tease - hint at something unexpected in the article]
[CTA - read the full article, link in comments]
---
Comment #1: Full article here: [Link]
```
---
## Article Ideas Starter
Generate article ideas by combining:
| Your Expertise | + | Format |
|----------------|---|--------|
| AI implementation | | Complete guide |
| Low-code automation | | Step-by-step tutorial |
| Public sector AI | | Lessons learned |
| Microsoft ecosystem | | Comparison/analysis |
| RAG architecture | | Framework/methodology |
**Example combinations:**
- "AI Implementation: The Complete Guide for Public Sector Leaders"
- "5 RAG Architecture Patterns I've Used Across 20+ Projects"
- "Why Public Sector AI Projects Fail (And How to Fix Them)"
- "Copilot Studio vs Power Automate: A Practical Comparison"
- "Building Your First RAG System: A Step-by-Step Tutorial"
---
## Notes
- Articles get less initial reach but longer lifespan
- Optimize for search (keywords in title, headings)
- Link internally to your other articles
- Update evergreen content quarterly
- Feature best articles on profile

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# My Custom Post Templates
Save your proven post structures here. When you find a format that works consistently, document it so Claude can replicate the pattern.
---
## Template 1: [Name - e.g., "My Framework Introduction Template"]
**When to use:** [e.g., "When introducing a new framework or model I've developed"]
**Structure:**
```
[HOOK - Counterintuitive stat or bold statement]
(1-2 lines, <110 characters)
[CONTEXT - The problem this framework solves]
(2-3 lines explaining why people struggle)
[FRAMEWORK INTRODUCTION]
"I developed [Framework Name] to solve this."
(Brief one-line description)
[COMPONENT BREAKDOWN]
Stage 1: [Name]
→ [Key characteristic in one line]
Stage 2: [Name]
→ [Key characteristic in one line]
Stage 3: [Name]
→ [Key characteristic in one line]
[IMPLICATION]
"Most organizations are stuck at Stage 1.
Here's what moving to Stage 2 unlocks..."
(2-3 lines on practical value)
[CTA]
"Which stage is your organization in?"
```
**Why this works for me:**
- [Reason 1 - e.g., "My audience loves actionable frameworks"]
- [Reason 2 - e.g., "The diagnostic question always generates 15+ comments"]
**Example posts using this template:**
- [Link to post 1]
- [Link to post 2]
**Average engagement:** [Metrics]
---
## Template 2: [Name - e.g., "My Before/After Transformation Story"]
**When to use:** [e.g., "When sharing case study or project results"]
**Structure:**
```
[HOOK - The transformation in numbers]
"6 months ago: [painful metric]
Today: [improved metric]"
[THE BEFORE]
[Organization] was struggling with [specific problem].
(Paint picture of pain - 3-4 lines)
[THE TURNING POINT]
We decided to [key decision].
Most teams choose [alternative]. Here's why we didn't...
[THE APPROACH]
"Three things mattered:
• [Element 1]
• [Element 2]
• [Element 3]"
[THE AFTER]
Results:
→ [Metric 1]: [Before] → [After]
→ [Metric 2]: [Before] → [After]
→ [Metric 3]: [Before] → [After]
[KEY LESSON]
"The real breakthrough wasn't [expected thing].
It was [non-obvious insight]."
[CTA]
"What's been YOUR biggest lesson in [topic]?"
```
**Why this works for me:**
- [Reason 1]
- [Reason 2]
**Average engagement:** [Metrics]
---
## Template 3: [Name - e.g., "My Contrarian Take"]
**When to use:** [e.g., "When challenging conventional wisdom in my field"]
**Structure:**
```
[HOOK - Bold contrarian statement]
"Everyone says [conventional wisdom].
I think that's wrong."
[THE CONVENTIONAL APPROACH]
Most [target audience] believe [common belief].
(Explain the mainstream view fairly - 2-3 lines)
[WHY IT FAILS]
But here's the problem...
(2-3 specific reasons with examples)
[THE ALTERNATIVE]
Instead, try this:
→ [Alternative approach 1]
→ [Alternative approach 2]
→ [Alternative approach 3]
[EVIDENCE]
"I've seen this play out across [X] projects:
[Specific result/pattern you've observed]"
[NUANCE]
"To be clear: [conventional wisdom] works if [specific condition].
But for [your context], [your approach] is better because..."
[CTA]
"What's your experience? Am I missing something?"
```
**Why this works for me:**
- [Reason 1]
- [Reason 2]
**Average engagement:** [Metrics]
---
## Template 4: [Name - e.g., "My Failure Lesson Post"]
**When to use:** [e.g., "When sharing what didn't work to build trust"]
**Structure:**
```
[HOOK - Admission of failure]
"[Approach] should have worked.
It failed spectacularly."
[SETUP]
We were trying to [goal].
The plan: [what you intended to do]
On paper, perfect.
[THE FAILURE]
"Here's what actually happened..."
(Specific description of what went wrong - 3-4 lines)
[WHY IT FAILED]
Looking back, three mistakes:
1. [Mistake 1] - We assumed [wrong assumption]
2. [Mistake 2] - We underestimated [factor]
3. [Mistake 3] - We ignored [warning sign]
[THE PIVOT]
"So we tried [different approach] instead.
That worked because..."
[THE LEARNING]
"Key lesson:
[Non-obvious insight that only came from the failure]"
[CTA]
"Have you failed at [topic] too? What did you learn?"
```
**Why this works for me:**
- [Reason 1]
- [Reason 2]
**Average engagement:** [Metrics]
---
## Template 5: [Name - Your custom template]
**When to use:** [Context]
**Structure:**
[Your proven structure]
**Why this works for me:**
[Analysis]
**Average engagement:** [Metrics]
---
## Template Performance Comparison
| Template | Avg. Likes | Avg. Comments | Avg. Reach | Best Use Case |
|----------|-----------|---------------|------------|---------------|
| Framework Intro | [X] | [Y] | [Z] | [When] |
| Before/After | [X] | [Y] | [Z] | [When] |
| Contrarian | [X] | [Y] | [Z] | [When] |
| Failure Lesson | [X] | [Y] | [Z] | [When] |
**Insights:**
[What these patterns tell you about your audience preferences]
---
## Template Selection Guide
**Use Framework template when:**
- Introducing new model/system
- Teaching actionable process
- Want high saves (reference value)
**Use Before/After template when:**
- Have strong results to share
- Building credibility
- Want case study authority
**Use Contrarian template when:**
- Challenging assumptions
- Positioning unique POV
- Want engagement/debate
**Use Failure template when:**
- Building trust/authenticity
- Sharing hard-won lessons
- Want vulnerable connection
---
## Update Log
- [Date]: Created template 1 based on [successful posts]
- [Date]: Refined template 2 after [pattern observation]
- [Date]: Added template 3 for [new content type]

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# Post Type Templates
Quick-start templates for common LinkedIn post types. Copy, customize, and post.
---
## Template 1: Reaction Post
**Use when:** News drops, something changes in your industry, you see a trend emerging.
```
[Industry event/news - state what happened]
My take: [Your perspective in 1-2 sentences]
[Question for audience OR prediction about what this means]
```
### Examples
**Tech news reaction:**
```
OpenAI just announced [feature].
My take: This matters less for the tech and more for
what it signals about where the industry is heading.
What do you think - genuine innovation or
incremental improvement?
```
**Industry change reaction:**
```
Microsoft dropped a new Copilot update yesterday.
Here's what caught my attention: [specific feature]
finally addresses [common complaint].
Has anyone tested it yet? Curious if the reality
matches the promise.
```
**Trend reaction:**
```
Third announcement about [trend] this week.
Either this is genuinely the next big thing,
or we're all drinking the same Kool-Aid.
I'm cautiously optimistic. Where do you land?
```
---
## Template 2: Quick Tip Post
**Use when:** You learned something useful, found a shortcut, discovered a fix.
```
[Bold claim about the tip]
Here's why: [Brief explanation - 1-2 sentences]
[How to apply it OR invitation to share their version]
```
### Examples
**Tool tip:**
```
Stop manually formatting your LinkedIn posts.
I use [tool/technique] and it takes 30 seconds
instead of 10 minutes.
Here's the exact workflow: [1-2 steps]
What's your time-saving hack?
```
**Process tip:**
```
The 2-minute rule changed how I handle [task].
If it takes less than 2 minutes, do it now.
Seems obvious, but I resisted for years.
Now my [specific result] is [specific improvement].
```
**Mindset tip:**
```
Before any important meeting, I ask one question:
"What's the one outcome that makes this worth everyone's time?"
Sounds simple. Cuts meeting time in half.
```
---
## Template 3: Observation Post
**Use when:** You noticed a pattern, saw something interesting, made a connection.
```
I've noticed [pattern/trend].
[Evidence or example - specific, concrete]
Anyone else seeing this?
```
### Examples
**Industry observation:**
```
I've noticed that the AI projects that actually
ship have something in common:
They start with a problem, not a technology.
Simple, but I see the opposite approach fail
constantly. Anyone else?
```
**Behavioral observation:**
```
Interesting pattern in my calendar this month:
The meetings that produced results had fewer
than 5 people. The ones with 10+ produced... documents.
Starting to say no to large meetings.
What's your threshold?
```
**Market observation:**
```
Three companies in my network just paused
their AI initiatives.
Not because of budget. Because they don't
know what problem to solve.
Strategy before technology. Always.
```
---
## Template 4: Hot Take Post
**Use when:** You disagree with common wisdom, have a controversial opinion, want to start debate.
```
Unpopular opinion: [Your take]
[Why you believe this - 1-2 sentences]
Change my mind.
```
### Examples
**Industry hot take:**
```
Unpopular opinion: Most "AI strategies" are
just vendor slide decks with your logo added.
Real strategy requires understanding your
problems before browsing solutions.
Fight me.
```
**Process hot take:**
```
Hot take: The problem with [common practice]
isn't that it doesn't work.
It's that it works just well enough that
we never question if there's a better way.
What "works" for you that might be holding you back?
```
**Career hot take:**
```
Controversial: The best career advice isn't
"find your passion."
It's "get really good at something useful,
and passion often follows."
Agree or disagree?
```
---
## Template 5: Failure/Mistake Post
**Use when:** Something went wrong, you made an error, you learned from a mistake.
```
I made a mistake with [topic/project].
Here's what went wrong: [Brief explanation]
Lesson learned: [What you'd do differently]
```
### Examples
**Project failure:**
```
Launched a Copilot agent last month.
Adoption rate: 12%.
The mistake: We built what we thought users
needed instead of asking them.
Rebuilding with actual user input this time.
```
**Decision mistake:**
```
Spent 3 weeks optimizing the wrong metric.
Got so focused on [metric A] that I missed
[metric B] collapsing.
Now I check the dashboard before the details.
```
**Communication mistake:**
```
Sent a message that came across completely wrong.
What I meant: [intention]
What they heard: [interpretation]
Learning to re-read everything from their perspective.
```
---
## Template 6: Question Post
**Use when:** You want to spark discussion, gather perspectives, learn from your network.
```
[Context-setting statement]
[Specific question]
I'll share my thinking in the comments.
```
### Examples
**Industry question:**
```
Talking to a lot of AI teams lately about
governance frameworks.
Genuine question: How do you balance
"move fast" with "don't break things"?
Share what's working (or not).
```
**Career question:**
```
At what point does "being a generalist"
become "not being an expert in anything"?
Genuinely wrestling with this.
Where do you draw the line?
```
**Tool question:**
```
Looking for recommendations:
What's your go-to tool for [specific task]?
Currently using [current tool] but feeling
like there's something better out there.
```
---
## Template 7: Curation Post
**Use when:** You found something worth sharing, want to add your perspective to existing content.
```
[What you found/read/watched]
[Your specific takeaway - not just "it was great"]
[Link in comments or tag the creator]
```
### Examples
**Article curation:**
```
Read [Author]'s piece on [topic] three times.
The part that stuck: [specific quote or idea]
This explains why [your connection to your work].
Link in first comment.
```
**Creator curation:**
```
[Creator name] nailed something I've been
trying to articulate for months:
[Paraphrase their key point]
If you care about [topic], follow them.
```
**Resource curation:**
```
Best thing I've read this week on [topic]:
[Brief summary of the insight]
Saving this for the next time I [relevant situation].
[Tag creator or link placement]
```
---
## Template 8: One-Liner Post
**Use when:** You have a punchy insight that doesn't need explanation.
```
[Single powerful statement]
```
### Examples
**Wisdom one-liner:**
```
The best processes are invisible.
The worst processes require training.
```
**Observation one-liner:**
```
Every "AI transformation" I've seen succeed
started with spreadsheets and post-its.
```
**Contrarian one-liner:**
```
The companies with the best AI strategies
are the ones not talking about AI.
```
**Note:** One-liners work best when you've built enough credibility that people trust your perspective without explanation. Use sparingly - maybe 1 in 10 posts.
---
## Expertise-Specific Examples
### For AI/Tech Professionals
**Reaction:**
```
New Claude update just dropped with [feature].
First impression: This changes how I think
about [specific use case].
Testing it today. What are you most curious about?
```
**Observation:**
```
Noticed something in every successful AI pilot
I've been part of:
The team spent more time on change management
than on the technology.
Tech is the easy part.
```
**Quick Tip:**
```
Prompt engineering tip that took me too long to learn:
Start with the output format you want,
then work backwards to the instruction.
Sounds obvious. Changed everything.
```
### For Leaders/Managers
**Hot Take:**
```
Unpopular opinion: Most leadership advice
is written by people who haven't led in years.
Theory is important.
So is what's actually working right now.
Who are you learning from?
```
**Failure:**
```
Gave feedback yesterday that landed completely wrong.
My intention: Help them grow.
Their experience: Felt criticized.
Working on leading with curiosity, not conclusions.
```
**Question:**
```
Leaders: How do you create psychological safety
in a remote team?
Genuine question.
The old playbook doesn't quite translate.
What's working for you?
```
### For Consultants/Advisors
**Curation:**
```
Best framework I've encountered this month
for [specific challenge]:
[Brief description]
Changed how I approach [type of engagement].
Full breakdown in comments.
```
**Observation:**
```
Pattern I'm seeing across clients:
The ones moving fastest on AI started
with their biggest pain point, not the
most impressive use case.
Simple beats sexy.
```
**One-Liner:**
```
The best consultants make themselves unnecessary.
The worst ones create dependency.
```
---
## The 3-Line Post Formula
For most quick posts, use this structure:
**Line 1: Hook (under 140 characters)**
Creates curiosity or makes a statement
**Line 2: Context or Evidence (1-2 sentences)**
Explains the "why" or provides supporting information
**Line 3: Insight or Question (the "so what")**
Actionable takeaway or engagement prompt
**Character Target: 150-500 characters**
Quick posts should be SHORT. The goal is engagement and presence, not depth. If you're over 500 characters, consider whether this should be a full workflow post instead.
---
## Angle Selection Guide
| Angle | Opening Pattern | Best For |
|-------|-----------------|----------|
| Contrarian | "Everyone says X, but..." | Challenging assumptions |
| Validating | "Here's proof that X works..." | Reinforcing with evidence |
| Curious | "I've been wondering why..." | Opening discussion |
| Helpful | "Here's something that saved me..." | Practical value |
| Surprised | "I didn't expect this, but..." | Discovery sharing |
| Frustrated | "Can we talk about why..." | Calling out problems |
| Excited | "Just discovered..." | Genuine enthusiasm |
| Reflective | "After X years, I've learned..." | Wisdom sharing |
---
## Converting Quick Posts to Full Content
When a quick post performs exceptionally well, consider expanding:
**Signals a quick post deserves expansion:**
- Comment depth (people asking follow-up questions)
- Save rate is high (people want to reference later)
- You have more to say that wouldn't fit
- It connects to other ideas you've shared
**Expansion options:**
- Turn into carousel (break insight into 6-8 slides)
- Write the full story behind the observation
- Create a framework around the tip
- Develop a post series exploring the theme
- Save for newsletter deep-dive
**Tracking for expansion:**
Keep a simple list of quick posts that outperformed. Review monthly. These are your best candidates for full content development.

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# Weekly Content Calendar (2-3 Posts/Week)
Templates for planning low-frequency, high-quality LinkedIn content.
## Weekly Schedule Templates
### Option A: 2 Posts/Week
**Minimal viable presence for busy professionals**
| Day | Slot | Content Type | Purpose |
|-----|------|--------------|---------|
| Tuesday | 8:00 AM CET | Core Expertise | Peak engagement day |
| Thursday | 8:00 AM CET | Story/Commentary | Personality building |
**Time investment:** 3-4 hours/week
| Activity | Time | When |
|----------|------|------|
| Content creation | 90 min | Weekend or Monday |
| Pre-post engagement (5x5x5) | 30 min | Before each post (2x) |
| Post engagement | 60 min | After each post (2x) |
| Daily maintenance | 25 min | 5 min/day other days |
---
### Option B: 3 Posts/Week (Recommended)
**Balanced presence for sustainable growth**
| Day | Slot | Content Type | Purpose |
|-----|------|--------------|---------|
| Tuesday | 8:00 AM CET | Core Expertise | Authority building |
| Wednesday | 12:00 PM CET | Quick Post/News | Maintain presence |
| Thursday | 8:00 AM CET | In-depth/Story | Engagement driver |
**Time investment:** 4-5 hours/week
| Activity | Time | When |
|----------|------|------|
| Content creation | 120 min | Weekend or Monday |
| Pre-post engagement | 45 min | Before each post (3x) |
| Post engagement | 90 min | After each post (3x) |
| Daily maintenance | 25 min | 5 min/day non-post days |
---
### Option C: 2 Posts + 1 Article/Month
**For established professionals building depth**
**Week 1:**
| Day | Content |
|-----|---------|
| Tuesday | Regular post |
| Wednesday | Article publication |
| Thursday | Article promotion post |
**Weeks 2-4:**
| Day | Content |
|-----|---------|
| Tuesday | Regular post |
| Thursday | Regular post (or article derivative) |
---
## Monthly Planning Grid
### 8-Post Month (2x/week)
| Week | Tuesday | Thursday | Notes |
|------|---------|----------|-------|
| 1 | Expertise deep-dive | Personal story | Foundation |
| 2 | Framework/how-to | Industry commentary | Education |
| 3 | Case study | Trend analysis | Credibility |
| 4 | Tool/resource share | Reflection/lesson | Value |
### 12-Post Month (3x/week)
| Week | Tuesday | Wednesday | Thursday |
|------|---------|-----------|----------|
| 1 | Expertise deep-dive | Quick news take | Personal story |
| 2 | Framework post | Commentary | Case study |
| 3 | How-to guide | News reaction | Trend analysis |
| 4 | Resource share | Quick insight | Monthly reflection |
---
## Content Type Rotation
### For AI-Focused Creators
**Monthly mix (8-12 posts):**
| Type | Count | Examples |
|------|-------|----------|
| AI News/Commentary | 2-3 | New releases, announcements, trends |
| Implementation How-to | 2-3 | Patterns, tutorials, lessons |
| Strategy/Leadership | 1-2 | ROI, governance, decisions |
| Tools/Resources | 1-2 | Comparisons, shares, templates |
| Personal/Story | 1-2 | Experiences, reflections |
### Content Pillars Grid
Map your posts across pillars:
| Pillar | Week 1 | Week 2 | Week 3 | Week 4 |
|--------|--------|--------|--------|--------|
| AI News | X | | X | |
| Implementation | | X | | X |
| Strategy | | | X | |
| Tools | | | | X |
| Personal | X | | | |
---
## Weekly Workflow
### Sunday (30 min)
**Planning session:**
- [ ] Review next week's calendar slots
- [ ] Assign topics to each slot
- [ ] Note any timely content opportunities
- [ ] Check for relevant news to comment on
### Monday (90-120 min)
**Batch creation:**
- [ ] Write/finalize all posts for the week
- [ ] Prepare visuals if needed
- [ ] Draft first comments (links, etc.)
- [ ] Schedule or save drafts
### Posting Days (45-60 min each)
**Pre-post (15 min before):**
- [ ] 5x5x5 engagement on target creators
**Post (2 min):**
- [ ] Publish post
- [ ] Add first comment with link (if applicable)
**Post-engagement (30-45 min after):**
- [ ] Stay online for first hour
- [ ] Respond to every comment
- [ ] Engage with commenters' profiles
### Non-Posting Days (5-10 min)
**Maintenance:**
- [ ] Check for comments to respond to
- [ ] 3-5 quick engagements on feed
- [ ] Note content ideas
### Friday (15 min)
**Week review:**
- [ ] Check post performance
- [ ] Note what worked/didn't
- [ ] Capture ideas for next week
- [ ] Update monthly tracking
---
## Monthly Planning Template
### Month: _______________
**Goals this month:**
- Growth target: _____ new followers
- Engagement target: _____ average comments
- Content focus: _____
### Week 1: ___ to ___
| Date | Day | Topic | Type | Status |
|------|-----|-------|------|--------|
| | Tue | | | [ ] |
| | Wed | | | [ ] |
| | Thu | | | [ ] |
Notes: _____
### Week 2: ___ to ___
| Date | Day | Topic | Type | Status |
|------|-----|-------|------|--------|
| | Tue | | | [ ] |
| | Wed | | | [ ] |
| | Thu | | | [ ] |
Notes: _____
### Week 3: ___ to ___
| Date | Day | Topic | Type | Status |
|------|-----|-------|------|--------|
| | Tue | | | [ ] |
| | Wed | | | [ ] |
| | Thu | | | [ ] |
Notes: _____
### Week 4: ___ to ___
| Date | Day | Topic | Type | Status |
|------|-----|-------|------|--------|
| | Tue | | | [ ] |
| | Wed | | | [ ] |
| | Thu | | | [ ] |
Notes: _____
### Month-End Review
- Total posts: _____ / planned: _____
- Average engagement rate: _____%
- Best performing post: _____
- Follower growth: _____
- Lessons learned: _____
---
## Engagement Schedule
### Posting Days
| Time | Activity |
|------|----------|
| 7:45 AM | 5x5x5 pre-engagement |
| 8:00 AM | Publish post |
| 8:00-9:00 AM | Active engagement with comments |
| 12:00 PM | Check for new comments, respond |
| 5:00 PM | Final comment check |
### Non-Posting Days
| Time | Activity |
|------|----------|
| 8:00 AM | 5-minute feed scan |
| 12:00 PM | Check for comments on recent posts |
| Any time | Note content ideas when they occur |
---
## Quality Standards Checklist
**For low-frequency posting, each post must:**
- [ ] Contain genuine insight (not just observation)
- [ ] Have a compelling hook (first 140 chars)
- [ ] Be well-structured and formatted
- [ ] Demonstrate clear expertise
- [ ] Include engaging CTA
- [ ] Connect to core topic areas
- [ ] Be worth saving (the save test)
**If a post doesn't meet these standards, don't publish it.** Skip a slot rather than post mediocre content.
---
## Tracking Template
### Weekly Metrics
| Week | Posts | Avg Views | Avg Likes | Avg Comments | New Followers |
|------|-------|-----------|-----------|--------------|---------------|
| 1 | | | | | |
| 2 | | | | | |
| 3 | | | | | |
| 4 | | | | | |
### Monthly Summary
| Metric | Target | Actual |
|--------|--------|--------|
| Posts published | | |
| Average engagement rate | | |
| Total new followers | | |
| Best post (topic) | n/a | |
| Opportunities generated | | |
---
## Adaptation Guidelines
### When to increase frequency
- Consistently exceeding engagement targets
- Have more time available
- Building toward specific goal (launch, event)
- Growing faster than expected
### When to maintain 2-3x
- Meeting targets consistently
- Time-constrained
- Quality > quantity preference
- Sustainable long-term pace
### When to decrease
- Quality suffering
- Burnout signs
- Major life/work demands
- Better to pause than post poorly
---
## Notes
- Low frequency requires HIGHER quality per post
- Engagement time matters more than posting time
- Consistency matters more than frequency
- Skip a post rather than post poorly
- Review and adjust monthly

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# Authentic Voice Samples - [Your Name]
These guidelines help Claude understand and replicate [Your Name]'s natural writing style for LinkedIn content.
## Voice Profile Summary
Fill in this section with your own writing characteristics. Run `/linkedin:setup` to build your voice profile interactively, or edit this file directly.
---
## Core Voice Characteristics
<!-- Replace these with your own voice traits. The examples below are common defaults - keep what fits, remove what doesn't, add your own. -->
### 1. [Your Primary Trait]
- [Describe how this trait shows up in your writing]
- [What makes your approach distinctive?]
### 2. [Your Secondary Trait]
- [Describe how this trait shows up in your writing]
### 3. [Your Third Trait]
- [Describe how this trait shows up in your writing]
<!-- Add more traits as needed. Most voice profiles have 4-6 core characteristics. -->
---
## Cross-Sample Analysis
### Do's (Things that sound like [Your Name])
<!-- Replace these with patterns from YOUR best-performing posts. Run /linkedin:setup to analyze your writing samples. The items below are common best practices you can keep as defaults. -->
- Start with stories or concrete examples before explaining concepts
- Use clear, accessible language even for technical topics
- Explain technical concepts thoroughly - assume intelligence, not knowledge
- Show rather than tell - demonstrate with examples
- End with actionable takeaways - what can the reader do NOW?
- Vary storytelling techniques based on the content
- Be genuinely helpful and supportive
- Acknowledge complexity before simplifying
- Frame discoveries as shared learning, not lecturing
- Keep posts concise - short to medium length (800-1500 characters)
### Don'ts (Things [Your Name] would NEVER say)
<!-- Replace these with your personal anti-patterns. The items below are universal LinkedIn best practices. -->
- Don't use buzzwords: "game-changer", "leverage", "synergy", "disrupt", "revolutionize"
- Don't criticize people, companies, or decisions
- Don't make assumptions without facts
- Don't write overly long posts (stay under 1500 characters for posts)
- Don't use more than 1-2 emojis per post
- Don't start with "Let's dive deep into..."
- Don't use excessive exclamation marks
- Don't use generic motivational phrases
- Don't be preachy or lecture the reader
---
## Signature Phrases
<!-- Add 3-5 phrases that are distinctly yours. These help Claude maintain your voice. -->
- "[Your phrase 1]"
- "[Your phrase 2]"
- "[Your phrase 3]"
---
## Vocabulary Preferences
### Technical Terms - How to Handle
<!-- Replace with your domain-specific terms. Examples: -->
- **[Term 1]:** [How to explain/use it]
- **[Term 2]:** [How to explain/use it]
- **[Term 3]:** [How to explain/use it]
**Principle:** Assume intelligence, not knowledge. Explain jargon without being condescending.
### Words/Phrases to AVOID
- "Game-changer"
- "Revolutionary"
- "Disruption" / "Disruptive"
- "Leverage" (as a verb)
- "Synergy"
- "Deep dive" / "Let's dive deep"
- "Unpack" (as in "let me unpack this")
- "At the end of the day"
- "It is what it is"
- "Touch base"
- "Circle back"
- "Low-hanging fruit"
---
## Humor and Personality
- **Humor style:** [Describe your humor approach - absent, dry, observational, etc.]
- **Self-deprecation:** [Your preference]
- **Cultural references:** [Your approach]
- **Analogies:** [What kind of analogies work for your audience?]
---
## Transitions and Flow
### How to Move Between Ideas
- Use questions: "So what does this mean for..."
- Use signposting: "Three things matter here..."
- Use revelation: "Here's what I discovered..."
- Use contrast: "The common approach is X. But what actually works is Y."
### How to Conclude
- Always tie back to practical implications
- End with a specific action the reader can take
- If no action possible, summarize the key insight clearly
- Occasionally invite discussion, but don't overuse "What do you think?" as a crutch
---
## Technical Depth Adaptation
Match technical depth to the target audience:
### For Leaders
- High-level concepts
- Business implications
- Strategic decisions
- ROI and outcomes
- Avoid implementation details
### For Practitioners
- Practical tips and patterns
- Step-by-step guidance
- Tool-specific insights
- Common pitfalls and solutions
- Can include some technical detail
### For Technical Experts
- Technical depth welcome
- Architecture patterns
- Integration approaches
- Trade-offs and decisions
- Code snippets when relevant
### For Power Users
- Productivity gains
- Workflow improvements
- Tool comparisons
- Time-saving techniques
- Practical shortcuts
**Key principle:** Always ensure technical content is well-explained and followable, regardless of depth. If you go technical, go all the way - don't half-explain.
---
## Language Guidelines
- Choose ONE language for all LinkedIn content and stick with it
- Clear, international English accessible to non-native speakers
- Avoid idioms that don't translate well internationally
- Prefer simple sentence structures for complex ideas
---
## Instructions for Claude
When generating LinkedIn content for [Your Name]:
1. **Start with the voice profile** (from this document)
2. **Check the content pillar** - which audience is this for?
3. **Choose appropriate storytelling technique** for the content type
4. **Ensure actionable conclusion** - what can the reader DO?
5. **Verify against Don'ts list** - no buzzwords, no criticism, no assumptions
6. **Keep length in check** - 800-1500 characters for posts
**Priority:** Sound like [Your Name] > Optimize for algorithm
**Exception:** If a phrase or approach would harm reach (external links, engagement bait), flag it but maintain the voice in everything else.