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
parent
7194a37129
commit
39f8b275a6
143 changed files with 32662 additions and 0 deletions
|
|
@ -0,0 +1,256 @@
|
|||
# Analytics Tools Guide: Finding YOUR Edge
|
||||
|
||||
The mechanics in the main skill represent baseline knowledge - what works on average. Your edge comes from discovering what works specifically for YOUR audience, YOUR content, and YOUR domain.
|
||||
|
||||
---
|
||||
|
||||
## The Critical Distinction
|
||||
|
||||
- **Generic advice:** "Post at 8am on Wednesdays" (average across all users)
|
||||
- **YOUR pattern:** "My audience engages most at 2pm on Tuesdays and 7am on Fridays" (specific to you)
|
||||
|
||||
Generic advice gets you to baseline. YOUR patterns get you to exceptional.
|
||||
|
||||
---
|
||||
|
||||
## Free Tools to Discover YOUR Patterns
|
||||
|
||||
### 1. LinkedIn Native Analytics (Essential - Start Here)
|
||||
|
||||
**Access:** Your profile → Analytics & tools → Analytics
|
||||
|
||||
#### What to Track Weekly (15 minutes)
|
||||
|
||||
**Post Performance:**
|
||||
- Which posts got highest engagement (likes, comments, shares)?
|
||||
- Which topics performed best?
|
||||
- Which formats worked (story vs. framework vs. data)?
|
||||
- What length generated most engagement?
|
||||
- Which hooks stopped the scroll?
|
||||
|
||||
**Timing Patterns:**
|
||||
- When did YOUR best-performing posts go live?
|
||||
- What day of week shows highest engagement FOR YOU?
|
||||
- What time of day gets fastest first-hour response?
|
||||
|
||||
**Audience Demographics:**
|
||||
- Who is actually engaging? (Industry, seniority, location)
|
||||
- Is this your intended audience or a different cohort?
|
||||
- What titles/roles engage most?
|
||||
- Where are they geographically?
|
||||
|
||||
**Follower Growth:**
|
||||
- Which posts drove follower spikes?
|
||||
- Are you gaining followers from target audience?
|
||||
- What topics attract new followers vs. existing audience?
|
||||
|
||||
#### Action: Create a Simple Tracking Doc
|
||||
|
||||
After each post, note:
|
||||
- Topic, format, hook type, length
|
||||
- Post time and day
|
||||
- Engagement after 1 hour, 24 hours, 1 week
|
||||
- Comments quality (superficial vs. substantive)
|
||||
- Any patterns you notice
|
||||
|
||||
After 10 posts, you'll see YOUR patterns emerge. After 30 posts, you'll know exactly what works for YOUR audience.
|
||||
|
||||
---
|
||||
|
||||
### 2. Google Trends + Exploding Topics (Weekly Scan)
|
||||
|
||||
**Purpose:** Catch emerging topics in your domain BEFORE they're mainstream.
|
||||
|
||||
#### Google Trends (trends.google.com)
|
||||
|
||||
- Search for topics in your expertise area
|
||||
- Look for "Rising" queries (interest growing rapidly)
|
||||
- Filter by region if your audience is location-specific
|
||||
- Compare related terms to see what's gaining vs. declining
|
||||
|
||||
#### Exploding Topics (explodingtopics.com - free tier)
|
||||
|
||||
- Shows topics with exponential growth in search volume
|
||||
- Filter by category relevant to your domain
|
||||
- Catch signals 3-6 months before they're saturated
|
||||
|
||||
#### How to Use
|
||||
|
||||
- Weekly 15-minute scan of your core topics
|
||||
- When you spot rising trend, create content WHILE it's still fresh
|
||||
- You're now ahead of the documentation curve
|
||||
- This is how you stay above average
|
||||
|
||||
**Example:**
|
||||
If you notice "AI agents" search volume growing 400% month-over-month, create content NOW. By the time it's in mainstream LinkedIn advice (6 months later), you've already established authority.
|
||||
|
||||
---
|
||||
|
||||
### 3. Reddit + Niche Communities (Weekly Engagement)
|
||||
|
||||
#### Why This Matters
|
||||
|
||||
LinkedIn content is filtered and polished. Reddit discussions are raw and unfiltered. The real problems, frustrations, and questions live in niche subreddits BEFORE they become LinkedIn posts.
|
||||
|
||||
#### Strategy
|
||||
|
||||
- Find 3-5 subreddits in your domain (e.g., r/artificial, r/MachineLearning, r/DevOps)
|
||||
- Lurk daily, post rarely
|
||||
- Watch for recurring questions, debates, frustrations
|
||||
- These become your content ideas
|
||||
|
||||
#### What You're Mining
|
||||
|
||||
- Problems people actually have (not problems you think they have)
|
||||
- Language people actually use (not industry jargon)
|
||||
- Debates with strong opinions (contrarian angles)
|
||||
- Questions that get asked repeatedly (unmet need)
|
||||
|
||||
#### Content Creation from Reddit
|
||||
|
||||
1. Spot recurring frustration in subreddit
|
||||
2. Develop your perspective on it (based on your expertise)
|
||||
3. Create LinkedIn post addressing it
|
||||
4. You're solving a real problem before it's "average advice"
|
||||
|
||||
**Examples:**
|
||||
- r/datascience discusses "model deployment frustration" weekly
|
||||
- You write: "Why 80% of ML models never reach production (and what to do about it)"
|
||||
- You're addressing real pain point, not generic "AI is transforming business"
|
||||
|
||||
---
|
||||
|
||||
### 4. Personal Knowledge System (Daily Practice)
|
||||
|
||||
**Purpose:** Connect non-obvious dots that create unique insights.
|
||||
|
||||
**Free option:** Obsidian (obsidian.md)
|
||||
**Paid option:** Notion ($10/month)
|
||||
|
||||
#### How It Generates Exceptional Content
|
||||
|
||||
Most content is obvious because it draws from single sources. Exceptional content connects ideas from disparate domains.
|
||||
|
||||
#### System
|
||||
|
||||
1. Capture insights from your work daily (what you learned, observed, struggled with)
|
||||
2. Tag by theme/topic
|
||||
3. Review weekly to spot connections
|
||||
4. Non-obvious connections = unique perspectives
|
||||
|
||||
#### Example of Unique Connection
|
||||
|
||||
- Note from AI project: "Stakeholders resist AI because it feels opaque"
|
||||
- Note from cooking: "People trust recipes with step-by-step photos"
|
||||
- Connection: "Why AI adoption needs 'recipe thinking' - making the black box transparent through step-by-step explanation"
|
||||
|
||||
This insight didn't exist in "AI best practices." It came from connecting two unrelated domains. That's exceptional content.
|
||||
|
||||
#### Weekly Practice
|
||||
|
||||
- 10 minutes daily: Capture 2-3 observations from your work
|
||||
- 30 minutes weekly: Review notes, spot connections, generate post ideas
|
||||
- This systematic practice generates 10-20 unique content angles per month
|
||||
|
||||
---
|
||||
|
||||
### 5. Structured Experimentation (Ongoing)
|
||||
|
||||
#### The Difference Between Average and Exceptional
|
||||
|
||||
- **Average:** Follow documented best practices
|
||||
- **Exceptional:** Test hypotheses to discover what works next
|
||||
|
||||
#### Experimentation Framework
|
||||
|
||||
**Hypothesis:** "My audience engages more with vulnerability-based hooks than data-based hooks"
|
||||
|
||||
**Test:** Create 2 posts on same topic, different hooks
|
||||
- Post A: "I failed at implementing AI. Here's what I learned."
|
||||
- Post B: "73% of AI projects fail. Here's why."
|
||||
|
||||
**Measure:** First-hour engagement, comment quality, saves
|
||||
|
||||
**Learn:** Document which worked and why
|
||||
|
||||
**Iterate:** Apply learning to next test
|
||||
|
||||
#### What to Test
|
||||
|
||||
- Hook types (vulnerability vs. data vs. contrarian vs. question)
|
||||
- Content structure (story vs. framework vs. list)
|
||||
- Length (1,200-1,800 characters optimal range)
|
||||
- Posting times (your 8am vs. 2pm vs. 6pm)
|
||||
- Topic angles (tactical vs. strategic vs. philosophical)
|
||||
- CTA types (question vs. invitation vs. challenge)
|
||||
|
||||
#### Track in Simple Spreadsheet
|
||||
|
||||
| Post Topic | Hypothesis | Variables | Results | Learning |
|
||||
|------------|-----------|-----------|---------|----------|
|
||||
| AI adoption | Vulnerability hooks work better | Hook type A vs B | A: 45 eng, B: 23 eng | Vulnerability wins for this audience |
|
||||
|
||||
After 10 experiments, you know YOUR audience better than any generic advice can tell you.
|
||||
|
||||
---
|
||||
|
||||
## Integration: From Tools to Edge
|
||||
|
||||
### Month 1-3: Establish Baseline
|
||||
|
||||
- Post consistently (3x/week minimum)
|
||||
- Track everything in LinkedIn Analytics
|
||||
- Note YOUR patterns
|
||||
- Build knowledge capture habit
|
||||
|
||||
### Month 4-6: Discover YOUR Edge
|
||||
|
||||
- Identify YOUR best-performing topics/formats/times
|
||||
- Begin structured experimentation
|
||||
- Mine Reddit/communities for real problems
|
||||
- Connect dots in knowledge system
|
||||
|
||||
### Month 7+: Operate at Edge
|
||||
|
||||
- Post based on YOUR data, not generic advice
|
||||
- Catch emerging trends before they're mainstream
|
||||
- Create content from unique connections
|
||||
- Test new hypotheses continuously
|
||||
|
||||
---
|
||||
|
||||
## The Compounding Effect
|
||||
|
||||
- Month 1: You're learning mechanics (baseline)
|
||||
- Month 3: You understand YOUR patterns (above average)
|
||||
- Month 6: You're discovering insights from practice (exceptional)
|
||||
- Month 12: You're systematically generating unique perspectives (thought leader)
|
||||
|
||||
---
|
||||
|
||||
## Remember
|
||||
|
||||
These tools don't make you exceptional. They reveal the patterns and signals that help you develop YOUR unique insights. The actual edge comes from:
|
||||
- Your real work and experience
|
||||
- Your unique combination of expertise
|
||||
- Your authentic perspective
|
||||
- Your willingness to experiment
|
||||
|
||||
Use these tools to avoid reinventing known patterns while you discover unknown ones.
|
||||
|
||||
---
|
||||
|
||||
## Tool Investment Guidance
|
||||
|
||||
### Start Free (Months 1-3)
|
||||
|
||||
- LinkedIn Analytics (essential)
|
||||
- Google Trends (weekly)
|
||||
- Reddit (weekly)
|
||||
- Obsidian (daily notes)
|
||||
|
||||
### Consider Paid (After 3+ months consistent posting)
|
||||
|
||||
- Shield or Taplio (~€50/month) for deeper analytics
|
||||
- Focus on ONE paid tool maximum
|
||||
- Most value comes from free tools + consistent usage, not expensive software
|
||||
Loading…
Add table
Add a link
Reference in a new issue