agentleFS
SolonnikovSolonnikov/agent-skills/skills/content-repurposing/SKILL.md

content-repurposing

Skill2 starsChanged 7 months agoNo licenceView on GitHub

Turns one piece of content into multiple surfaces — blog post → Twitter/X thread → LinkedIn post → newsletter issue — matching each platform's conventions. Use when a user has shipped a long-form piece and wants to extract shorter variants for other channels, or is planning a content launch across multiple platforms.

15 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use linkedin-content, ab-testing and 7 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • vinayakmamodiaSkill

    linkedin-content

    Expert LinkedIn organic content strategist for B2B founders and GTM leaders. Use when the user asks about LinkedIn posting strategy, LinkedIn algorithm, LinkedIn hooks, LinkedIn carousels, LinkedIn content writing, LinkedIn profile optimization, LinkedIn engagement strategy, LinkedIn newsletter, LinkedIn comment strategy, or growing a LinkedIn audience. Also triggers on "LinkedIn post", "LinkedIn content", "LinkedIn hook", "LinkedIn algorithm", "LinkedIn carousel", "LinkedIn profile", "LinkedIn engagement", "LinkedIn reach", "LinkedIn followers", "LinkedIn headline", "LinkedIn banner", "write a LinkedIn post", "LinkedIn strategy". Do NOT use for LinkedIn Ads (use linkedin-ads skill) or LinkedIn outbound messaging/cold outreach sequences (use cold-email skill).

    Also in 3 projects that use this

  • ncklrsSkill

    ab-testing

    Also in 3 projects that use this

  • indranilbanerjeeSkill

    keyword-research

    Research keywords via the connected data source: intent, gaps. Grouping → keyword-cluster. \"what keywords should we target\"

    Also in 3 projects that use this

  • AnthropicSkill

    content-strategy

    Analyzes sales data from PayPal and QuickBooks to find top performers and slow movers, layers in seasonality, and produces a prioritized 30-day content brief: what to push, what offers to run, what to hold. Strategic output only — no calendars or assets. Use when the user asks what to post, wants a content plan, asks what's selling, or what to promote this month.

    Also in 4 projects that use this

  • silvainfmSkill

    marketing-ideas

    When the user needs marketing ideas, inspiration, or strategies for their SaaS or software product. Also use when the user asks for 'marketing ideas,' 'growth ideas,' 'how to market,' 'marketing strategies,' 'marketing tactics,' 'ways to promote,' or 'ideas to grow.' This skill provides 140 proven marketing approaches organized by category.

    Also in 3 projects that use this

  • silvainfmSkill

    copy-editing

    When the user wants to edit, review, or improve existing marketing copy. Also use when the user mentions 'edit this copy,' 'review my copy,' 'copy feedback,' 'proofread,' 'polish this,' 'make this better,' or 'copy sweep.' This skill provides a systematic approach to editing marketing copy through multiple focused passes.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 14 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

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

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 14 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.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
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.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.