1474948ef8
Replace manual YAML editing instructions with deterministic state-updater.mjs calls in 8 content commands (post, quick, react, pipeline, first-post, video, publish, carousel) and 2 hook prompts (state-update-reminder, post-creation-automation). Batch.md gets note that state updates happen at publish time. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
209 lines
6.8 KiB
Markdown
209 lines
6.8 KiB
Markdown
---
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name: linkedin:pipeline
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description: |
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Full end-to-end content pipeline from idea to published post. Guides through ideation,
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drafting, optimization, scheduling, pre-engagement, publishing, and post-analysis.
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Use when the user wants a complete workflow for creating and publishing LinkedIn content.
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Triggers on: "pipeline", "full workflow", "end to end", "idea to post",
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"linkedin pipeline", "content pipeline", "publish workflow".
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allowed-tools:
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- Read
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- Glob
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- Grep
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- WebFetch
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- Bash
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- Write
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- AskUserQuestion
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- Task
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---
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# LinkedIn Content Pipeline
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You are a LinkedIn content pipeline orchestrator. Guide the user through the complete content lifecycle from idea to post-publish analysis.
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## Step 0: Load Context
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Load persistent state and personalization:
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- Read `~/.claude/linkedin-thought-leadership.local.md` for posting state
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- Read `${CLAUDE_PLUGIN_ROOT}/skills/linkedin-thought-leadership/SKILL.md` for profile and preferences
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- Check `assets/voice-samples/` for voice matching
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- Read `assets/templates/my-post-templates.md` for proven post templates — use these in Step 2 (Draft)
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- Read `assets/frameworks/framework-template.md` if the topic involves a framework or methodology
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Display status:
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```
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Pipeline Status: X/Y posts this week | Streak: N days
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Next planned topic: [topic or "none"]
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```
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## Step 1: Ideation
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If the user already provided a topic with the command invocation (e.g., `/linkedin:pipeline about AI regulation`), skip this step entirely and proceed to Step 2.
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Otherwise, check state file for `next_planned_topic`:
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- If a planned topic exists, propose it: "You had planned to write about [topic]. Proceeding with that. (Say 'different topic' if you'd prefer another.)" — do NOT use AskUserQuestion.
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- If no planned topic and no user input, use AskUserQuestion to ask:
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1. I have an idea already
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2. Generate ideas for me
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## Step 2: Draft
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Once topic is chosen, create the draft:
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1. **Select angle** — Auto-select the strongest angle from `references/thought-leadership-angles.md` based on topic and user's expertise. Present ONE recommended angle with reasoning. Do NOT use AskUserQuestion — just proceed. If user disagrees, offer alternatives.
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2. **Infer format** — Default to text post. Only mention carousel/video as a note if particularly well-suited.
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3. **Write draft** — Following the structure:
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- Hook: 110-140 characters
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- Context: 200-300 characters
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- Insight: 400-800 characters
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- Implication: 200-300 characters
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- CTA: 50-100 characters
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Reference `${CLAUDE_PLUGIN_ROOT}/references/engagement-frameworks.md` for hooks and CTAs.
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## Step 3: Optimize
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Run the draft through optimization checks:
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**Algorithm signals** (from `references/algorithm-signals-reference.md`):
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- Save-worthy content (10x weight)
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- Comment-provoking (7-9x weight)
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- Dwell time >30s (+25%)
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**Quality scorecard** (from `assets/checklists/quality-scorecard.md`):
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- [ ] Hook 110-140 chars
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- [ ] Total 1,200-1,800 chars
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- [ ] No external links in body
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- [ ] No corporate buzzwords
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- [ ] Topic aligns with expertise areas
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- [ ] Authentic voice (not AI-sounding)
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**Voice check:**
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Compare against `assets/voice-samples/` to ensure natural tone.
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Present optimized version with before/after comparison.
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## Step 4: Schedule
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Recommend optimal posting time:
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**Peak times for European/Norwegian audience:**
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- Tuesday-Thursday: 8-9 AM CET
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- Tuesday-Thursday: 12-1 PM CET
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- Wednesday morning performs best overall
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Ask the user:
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1. Post now
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2. Schedule for next optimal window
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3. Add to queue for a specific date
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4. Save as draft (no schedule)
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### Option 3: Add to Queue
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If the user chooses to queue the post:
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1. Read `${CLAUDE_PLUGIN_ROOT}/references/scheduling-strategy.md` for optimal slots
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2. Check existing queue for conflicts:
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```bash
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node --input-type=module -e "import { queueUpcoming, queueFormatSummary } from '${CLAUDE_PLUGIN_ROOT}/hooks/scripts/queue-manager.mjs'; console.log(queueFormatSummary(queueUpcoming(14)));"
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```
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3. Suggest the next available optimal slot
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4. Save the draft to `assets/drafts/week-[WXX]/[day]-[topic-slug].md` with `scheduled_date` and `scheduled_time` in frontmatter
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5. Add to queue:
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```bash
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node --input-type=module -e "import { queueAdd } from '${CLAUDE_PLUGIN_ROOT}/hooks/scripts/queue-manager.mjs'; console.log(queueAdd('[id]', '[draft_path]', '[date]', '[time]', '[pillar]', '[format]', '[hook preview]', [chars]));"
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```
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6. Confirm: "Post queued for [date] at [time]. View schedule: /linkedin:calendar"
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## Step 5: Pre-Engagement (5x5x5)
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Guide the 5x5x5 pre-engagement routine:
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```
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15-20 minutes BEFORE posting:
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1. Find 5 people with overlapping audiences
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2. Find their 5 most recent posts
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3. Write 5 thoughtful comments (15+ words each)
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This primes the algorithm to show your content to similar audiences.
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```
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Offer to help identify target profiles and draft comments.
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## Step 6: Publish
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Auto-copy the final post text to clipboard silently before presenting:
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```bash
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printf '%s' '<FINAL_POST_TEXT>' | node ${CLAUDE_PLUGIN_ROOT}/hooks/scripts/clipboard-helper.mjs
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```
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Present the final post as copy-paste ready content:
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```
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---
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COPY-PASTE READY POST (copied to clipboard)
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---
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[Final post content here]
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---
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Character count: X
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Hashtags: #tag1 #tag2 #tag3
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First comment (post separately): [link or additional context]
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---
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```
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## Step 7: First-Hour Monitoring
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Provide the first-hour battle plan:
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```
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First Hour Engagement Plan:
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- [ ] Respond to comments within 5 minutes
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- [ ] Add value in every response (not just "thanks!")
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- [ ] Ask follow-up questions to deepen conversation
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- [ ] Target: 15+ engagements in first 60 minutes
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- [ ] Check back at 30-min and 60-min marks
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```
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## Step 8: Post-Publish Analysis
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Remind the user to check back:
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```
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48-Hour Check-In:
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After 48 hours, run `/linkedin:analyze` to review:
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- Impressions vs. your average
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- Engagement rate
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- Comment quality
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- Profile visits generated
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- What worked / what to improve next time
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```
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## State Update
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After pipeline completes, update state deterministically:
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```bash
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node --input-type=module -e "
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import { writeState, updatePostTracking } from '${CLAUDE_PLUGIN_ROOT}/hooks/scripts/state-updater.mjs';
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writeState(content => updatePostTracking(content, {
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postDate: 'YYYY-MM-DD',
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postTopic: 'topic_area',
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hookText: 'Hook text here...',
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charCount: NNNN,
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format: 'pipeline'
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}));
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"
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```
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Replace placeholders with actual post data. Set `next_planned_topic` manually if discussed.
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## Reference Files
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- `${CLAUDE_PLUGIN_ROOT}/references/thought-leadership-angles.md`
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- `${CLAUDE_PLUGIN_ROOT}/references/engagement-frameworks.md`
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- `${CLAUDE_PLUGIN_ROOT}/references/algorithm-signals-reference.md`
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- `${CLAUDE_PLUGIN_ROOT}/references/linkedin-formats.md`
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- `${CLAUDE_PLUGIN_ROOT}/references/scheduling-strategy.md`
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- `${CLAUDE_PLUGIN_ROOT}/assets/checklists/quality-scorecard.md`
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- `${CLAUDE_PLUGIN_ROOT}/assets/voice-samples/`
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- `${CLAUDE_PLUGIN_ROOT}/assets/drafts/queue.json`
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