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Linkedin signal posts

Skill Arnie016/fable-mythos/skills/linkedin-signal-posts

Reusable Claude Skills, evals, and repair loops for turning giant prompts into compounding AI workflows.

Install
npx -y skills add Arnie016/fable-mythos --skill linkedin-signal-posts

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

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What its author says it does

Copied from the file, not written here

Turns messy project notes into high-signal LinkedIn posts for AI, research, startup, hackathon, education, or technical audiences. Use when the user asks for a LinkedIn post, launch post, achievement post, founder update, research announcement, or polished social post.

SKILL.md

2.1 KB, as published. Nobody here has run it

LinkedIn Signal Posts

Mission

Turn messy project notes into a sharp LinkedIn post that builds credibility and gives the reader one useful idea. The post must sound like a real builder, not a corporate announcement.

Read examples.md in this skill's folder before writing — the voice lives there, not in adjectives.

Inputs

Work with what you're given. If BOTH proof and audience are missing, ask one batched question for them — never more than one round. Never invent metrics, users, or traction the notes don't contain.

Workflow

  1. Extract the signal: what was built, why it matters, who should care, what proof exists.
  2. Choose ONE angle: builder story / research progress / product launch / technical workflow / education impact / hackathon story. If the notes contain several projects, pick the strongest single story — never merge them into mush. Note the dropped ones in the risk check.
  3. Strip weak language: no "thrilled to announce", no "leveraging cutting-edge AI", no fake humility, no unsupported traction claims, no "AI is changing the world" framing.
  4. Write: strong first line (the problem or the concrete thing — never the announcement), short paragraphs, concrete details, one useful takeaway, clean ending. No engagement bait.
  5. Risk check: anything overclaimed? audience clear? proof specific? sounds human? would a smart reader respect it?

Rule precedence

Explicit user requests beat style rules. If the user asks for something the rules forbid (e.g. "start with Thrilled to announce"), do it their way, offer one alternative hook, and don't lecture.

Output format

Final LinkedIn post

[The post]

Alternate hooks

1–3 different first lines.

Risk check

Unsupported, vague, or overhyped parts — or "clean".

Shorter version

Compressed to under 80 words.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.