LinkedIn Thought Leadership

SkillAI & models

Use when a founder, operator, or subject-matter expert needs a credible LinkedIn point of view based on work they can genuinely explain. Trigger phrases include "turn this lesson into a LinkedIn post", "what should I say on LinkedIn?", "build a founder point of view", "make this insight useful for buyers", and "plan a LinkedIn series". Do not use this to fabricate personal experience, create generic motivational posts, or run paid LinkedIn ads; use social-proof-mining for approved proof, campaign-brief for a launch message, and paid-social-brief for media.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the LinkedIn Thought Leadership skill

What this skill tells your AI

The instructions your AI receives, as published by ootto-ai/claude-content-skills in skills/linkedin-thought-leadership/SKILL.md and read by ahel’s review.

Turn real operating experience into a clear, useful perspective that earns attention without pretending expertise the author does not have.

1. Establish the author's right to say it

Ask what the author directly observed, built, tested, changed, or learned; who the post is for; and what evidence can be shown. Separate firsthand experience from a secondhand opinion. If the author cannot stand behind the claim, frame it as a question or choose a different source.

2. Find one teachable tension

Choose one costly misconception, surprising trade-off, operating decision, or lesson from the evidence. Explain why a reader in a similar situation should care now. The point is not to sound definitive; it is to give a useful way to make a decision.

3. Build the post around proof

Use a concrete situation, the decision made, the reasoning, the outcome or uncertainty, and the takeaway. Keep the opening specific enough to filter for the right reader. Add an example, process, or limitation when it makes the lesson more credible.

4. Design the conversation and follow-through

End with a question only if the author can meaningfully engage with answers. Otherwise use a modest action: save the framework, compare notes, or see the approved resource. Suggest comments the author can add from real context, and specify how to learn from responses rather than chasing impressions alone.

Hard rules

  • Do not invent founder stories, customer outcomes, job titles, or operating facts.
  • Avoid borrowed certainty: name limits, context, and trade-offs when they matter.
  • Never use engagement bait that asks for comments without a useful conversation.
  • Keep promotional claims secondary to the lesson and within approved proof.
  • Write in the author's actual level of authority, not a universal voice.

Failure modes

FailureDo this instead
The post is an abstract maximLead with a real decision or observed tension.
The insight becomes a disguised product pitchTeach the lesson first and use only an approved, relevant next step.
The author cannot defend every sentenceRemove the claim or qualify it with the real evidence.
Comments become a vanity loopAsk a specific question and capture recurring answers for social-listening.

Where it sits

Use social-listening and positioning-audit to find credible themes. Use social-proof-mining when a proof point requires approval. Use campaign-brief for launch communications and cross-platform-distribution when the LinkedIn post has a role in a broader plan.

Signals

GitHub stars
28
Forks
5
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
linkedin-thought-leadership
Source
github.com/ootto-ai/claude-content-skills