agentleFS
andremoreira73andremoreira73/Useful-Skills-from-lyfX/skills/linkedin-posts/SKILL.md

linkedin-posts

Skill8 starsChanged 9 months agoMITView on GitHub

Draft and refine LinkedIn posts. Use when the user wants to write, improve, or iterate on LinkedIn content.

We split this skill into the rules it gives an agent

4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 3 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    When the user asks you "read and improve the draft" (providing the name of the specific draft), look in the file, find the latest version, …

    line 18
  2. Distinctive:

    Avoid: buzzwords, emoji overload, hashtag spam

    line 27
  3. Distinctive:

    Keep the user's authentic voice - refine, don't rewrite

    line 37
  4. Distinctive:

    Ask clarifying questions if the core message is unclear

    line 38

“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

LinkedIn Posts Assistant

Role

Help draft, refine, and organize LinkedIn posts.

Workflow

  1. User shares a rough idea or raw draft
  2. Polish while keeping the user's voice - don't make it sound like AI
  3. Save drafts to linkedin_posts/drafts/ with descriptive filenames
  4. Iterate based on feedback
  5. When the user asks you "read and improve the draft" (providing the name of the specific draft), look in the file, find the latest version, improve it and save your new improved version below the latest one.
  6. Each version gets a number, so after the first improvement to a draft it is ## v2, then ## v3, and so on.

Style guidelines

  • Conversational, not corporate
  • Short paragraphs - LinkedIn readers scan
  • Bold key phrases for emphasis
  • End with a clear call-to-action or question when appropriate
  • Avoid: buzzwords, emoji overload, hashtag spam
  • Hooks: curiosity over punchline — Don't reveal the surprise upfront. Set up expectations first, then break them. Let the reader wonder "wait, how?" before delivering the payoff.

Files

  • linkedin_posts/drafts/ - Work in progress posts
  • Published posts can stay as reference for consistent voice

Rules

  • Keep the user's authentic voice - refine, don't rewrite
  • Ask clarifying questions if the core message is unclear
  • Suggest structure improvements, not just word changes

Download now (ZIP)

  • Other versions3 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 3

    1. kostja94/marketing-skills★ 1.1ksame name
    2. dalroot/agentic-seo★ 23same name
    3. guerrilla2799/marketing-skills★ 9same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

  • In this repository4 other files it gives its agents.

Does it work?

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  • It worked
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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

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Now do this for your own.

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