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linkedin-thought-leadership

linkedin-thought-leadership

github.com/ootto-aiMarketing & growth31162 installsUpdated 2w ago
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About linkedin-thought-leadership

A writing skill for turning firsthand operating experience into credible LinkedIn posts. It guides authors to ground a useful lesson in evidence, stay within their expertise, and invite meaningful discussion.

Key features

  1. 01Establish claims from firsthand evidence
  2. 02Choose one useful operating lesson
  3. 03Structure posts around proof and outcomes
  4. 04Plan relevant follow-up and discussion
  5. 05Avoid unsupported claims and engagement bait

Use cases

  1. 01Draft a post from a real operating decision
  2. 02Check whether a claim is supported by evidence
  3. 03Add a relevant question or next step

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/ootto-ai/claude-content-skills --skill linkedin-thought-leadership

After installing, type/linkedin-thought-leadershipin Claude Code to confirm it loaded.

Details

From the project README

LinkedIn Thought Leadership

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.

Comments

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