agentleFS
content-millcontent-mill/claude-plugin-facebook/skills/review-posts/SKILL.md

review-posts

Skill0 starsChanged 19 days agoMITView on GitHub

Show the user's Facebook posts in Content Mill, meaning what is scheduled, published, failed or still a draft, and cancel a scheduled one. Use when the user asks what is scheduled, what went out, or whether something failed.

4 other projects use a version of this, 4 of them edited.

Adopted by

Most recently taken up by

  • Other versions4 projects use a version of this.

    Word for word · 0

    None found.

    Wrote their own version · 0

    None found.

    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 repository2 other files it gives its agents.

The file

Files
SKILL.md

/content-mill-facebook:review-posts

Answers "what is happening with my Facebook posts".

Arguments passed: $ARGUMENTS (an optional status such as Scheduled, Published, Failed or Draft, or a time range in words).

Steps

  1. list_posts (newest first). Filter with status (Draft, Scheduled, Publishing, Published, PartiallyFailed, Failed) when the user asked about one; use limit for more or fewer than 20.
  2. Summarise by status, with each post's time and the first line of its text. PartiallyFailed means some accounts failed.
  3. For detail on one post, including the full text and the link to the live post, call get_post.
  4. To cancel a scheduled post, a draft, or clear a failed one, confirm with the user first, then call delete_post. A post that is Publishing, Published or PartiallyFailed cannot be deleted here.

This skill only reads, except for the delete_post the user has just approved.

Download now (ZIP)

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.