agentleFS
roomi-fieldsroomi-fields/rtfm/skills/install-embeddings/SKILL.md

install-embeddings

Skill27 starsChanged 25 days agoMITView on GitHub

Install the embeddings extra (fastembed, ~85 MB ONNX model) into an isolated venv. Required for semantic and hybrid search modes. The model runs on CPU, no GPU needed.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 0 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    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:

    After it completes, tell the user to restart Claude Code so the MCP server picks up the new extras venv.

    line 11

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “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

Install RTFM's embeddings extra by running this command via the Bash tool:

"${CLAUDE_PLUGIN_ROOT}/bin/rtfm-install-extras" embeddings

After it completes, tell the user to restart Claude Code so the MCP server picks up the new extras venv. Then rtfm_search with search_type="semantic" or "hybrid" will work.

Download now (ZIP)

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

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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.