agentleFS
roomi-fieldsroomi-fields/rtfm/skills/expand/SKILL.md

expand

Skill27 starsChanged 25 days agoMITView on GitHub

Read the full content of a specific file or section previously returned by rtfm_search. Use when the user wants to see the actual content of a search result, not just metadata.

8 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use review.

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.
  • SentrySkill

    review

    Fixture review skill.

    Also in 4 projects that use this

The file

We split this skill into the rules it gives an agent

2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 6 edited versions we read keep these.

  • 1

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Call mcp__rtfm__rtfm_expand with the source path (and optionally target_section) derived from $ARGUMENTS.

    line 9
  2. Distinctive:

    If $ARGUMENTS is empty or ambiguous, ask the user which result to expand.

    line 11

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

rtfm:expand

Expand the content of a result: $ARGUMENTS

Call mcp__rtfm__rtfm_expand with the source path (and optionally target_section) derived from $ARGUMENTS. Return the content verbatim with its marker.

If $ARGUMENTS is empty or ambiguous, ask the user which result to expand.

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.