| name | LinkedIn AI Strategy |
| description | This skill should be used when the user asks to "create a LinkedIn post", "write AI content", "generate thought leadership", "optimize my post", "improve engagement", "write viral hooks", "enterprise AI content", or mentions LinkedIn posting, AI thought leadership, or building authority on LinkedIn. |
| version | 1.0.0 |
LinkedIn AI Strategy
Guidance for creating high-engagement LinkedIn content focused on enterprise AI topics. Designed for building thought leadership as a strategic advisor and pragmatic executive voice.
Content Philosophy
Brand Voice: Strategic Advisor + Pragmatic Executive
Blend two complementary voices:
Strategic Advisor: Help leaders navigate AI transformation decisions with clarity
- Frame AI as a business transformation lever, not just technology
- Connect AI capabilities to strategic outcomes
- Anticipate questions executives ask before investing
Pragmatic Executive: Battle-tested insights from real implementations
- Share lessons from actual AI deployments (successes and failures)
- Cut through hype with grounded perspective
- Focus on what actually works vs. what sounds good in demos
Core Topic Areas
- AI Adoption in Enterprise - Rollout strategies, change management, stakeholder buy-in
- AI Readiness for Organizations - Assessment frameworks, capability gaps, prerequisites
- Organization Structure for AI - Team composition, reporting lines, CoE vs. embedded models
- AI at Scale - Moving from pilots to production, governance, MLOps maturity
- AI Strategy/Ethics - Responsible AI, bias mitigation, transparency, regulatory considerations
- AI Industry News - Major announcements, funding, product launches, research breakthroughs
Post Formats
1. Story-Driven Posts
Open with a specific moment or scenario. Build tension. Deliver insight.
Structure:
- Hook: Specific moment ("Last Tuesday, our AI project almost got killed...")
- Context: Set the scene (2-3 lines)
- Tension: What went wrong or what was at stake
- Resolution: What happened
- Lesson: The transferable insight
- CTA: Invite engagement
2. List/Framework Posts
Numbered insights that provide actionable value.
Structure:
- Hook: Promise clear value ("5 signs your AI initiative is about to stall")
- Setup: Brief context (1-2 lines)
- Items: 3-7 numbered points with brief explanations
- Synthesis: Tie it together
- CTA: Ask which resonates most
3. Hot Take/Opinion Posts
Strong point of view on industry trends.
Structure:
- Hook: Contrarian statement ("Unpopular opinion: Most AI strategies fail before the first model is built")
- Support: 2-3 reasons why
- Nuance: Acknowledge counterarguments
- Stakes: Why this matters
- CTA: Ask for agreement/disagreement
4. News Commentary Posts
React to breaking AI news with expert perspective.
Structure:
- Hook: Reference the news ("OpenAI just announced X. Here's what it means for enterprise...")
- Context: Brief summary for those who missed it
- Analysis: Your unique take (what others miss)
- Implications: Who this affects and how
- CTA: Ask what others think
Hook Writing
The first line determines whether people read. It must stop the scroll.
High-Performing Hook Patterns
- Specific Number + Outcome: "We reduced AI project costs by 47% with one change"
- Contrarian Statement: "Stop building AI chatbots. Here's why."
- Curiosity Gap: "The AI feature that's killing enterprise adoption (and no one talks about it)"
- Vulnerable Opening: "I made a $2M mistake with our AI strategy"
- Direct Question: "Why do 87% of AI pilots never make it to production?"
- News + Opinion: "[Company] just did X. This changes everything for..."
- Pattern Interrupt: "Forget ROI. The real metric for AI success is..."
- Time-Based Urgency: "In 18 months, companies without X will be..."
Hook Rules
- First 5 words must earn the next 5
- Avoid generic openings ("In today's world...", "AI is transforming...")
- Be specific (numbers, names, timeframes)
- Create information asymmetry (reader must continue to close the gap)
Engagement Optimization
Ideal Post Structure
- Length: 150-300 words (sweet spot for LinkedIn algorithm)
- Line breaks: Every 1-2 sentences for mobile readability
- White space: Use single-line paragraphs
- Formatting: Sparingly use bold for key phrases (not available in all views)
Call-to-Action Patterns
End posts with engagement drivers:
- "Which of these resonates most with you?"
- "What would you add to this list?"
- "Agree or disagree?"
- "Have you seen this pattern in your organization?"
- "Drop a [emoji] if this hits home"
Posting Strategy (1-2 posts/week)
Quality over quantity approach:
- Focus on one deeply thoughtful post per week
- Optional second post for timely news/reactions
- Engage heavily in comments on posting day (first 2 hours critical)
- Respond to every comment to boost algorithmic reach
Content Storage
Store all generated content and ideas in .claude/linkedin-ai-voice.local.md:
---
last_updated: YYYY-MM-DD
posts_generated: N
---
# LinkedIn AI Voice - Content Archive
## Ideas Backlog
- [idea 1]
- [idea 2]
## Generated Posts
### [Date] - [Topic]
**Hook**: ...
**Post**: ...
**Performance notes**: ...
## Engagement Learnings
- What worked: ...
- What didn't: ...
Additional Resources
Reference Files
references/hooks-library.md - 50+ proven hook templates organized by formatreferences/topic-angles.md - Deep dive angles for each core topic area
Example Files
examples/story-post.md - Complete story-driven post exampleexamples/framework-post.md - Complete list/framework post exampleexamples/hot-take-post.md - Complete opinion post example
Quick Reference
| Format | Best For | Length | Hook Style |
|---|
| Story | Building connection, memorable lessons | 200-300 words | Specific moment |
| List | Actionable value, shareability | 150-250 words | Number + outcome |
| Hot take | Engagement, positioning | 100-200 words | Contrarian |
| News | Timeliness, relevance | 150-200 words | News + opinion |
