agentleFS
RoentekRoentek/Claude_Code_Boilerplate_Framework/.claude/skills/skill-discovery/SKILL.md

skill-discovery

Skill4 starsChanged 6 months agoMITView on GitHub

Search for reusable skills across OpenSpace's local registry and cloud community. Reusing proven skills saves tokens, improves reliability, and extends your capabilities beyond built-in tools.

14 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use code-review and skill-creator.

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.
  • GoogleSkill

    code-review

    Adversarial systems, concurrency, memory-model, and architecture code review protocol. Use this skill whenever asked to review code, PRs, diffs, or branches in Filament.

    Also in 3 projects that use this

  • SentrySkill

    skill-creator

    Create new agent skills following the Agent Skills specification. Use when asked to "create a skill", "add a new skill", "write a skill", "make a skill", "build a skill", or scaffold a new skill with SKILL.md. Guides through requirements, writing, registration, and verification.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

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

  • 0

    Common

    Most of the 11 edited versions we read keep these.

  • 1

    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:

    Always tell the user what you found (or didn't find) and what you recommend.

    line 47

“Common” is measured: kept by at least 6 in 10 of the 11 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

Skill Discovery

Discover and browse skills from OpenSpace's local and cloud skill library.

When to use

  • User asks "what skills are available?" or "is there a skill for X?"
  • You encounter an unfamiliar task — a proven skill can save significant tokens over trial-and-error
  • You need to decide: handle a task yourself, or delegate to OpenSpace

search_skills

search_skills(query="automated deployment with rollback", source="all")
ParameterRequiredDefaultDescription
queryyes—Natural language or keywords
sourceno"all"Local + cloud; falls back to local-only if no API key
limitno20Max results
auto_importnotrueAuto-download top cloud hits locally

After search

Results are returned to you (not executed). Cloud hits with auto_imported: true include a local_path.

Found a matching skill?
├── YES, and I can follow it myself
│     → read SKILL.md at local_path, follow the instructions
├── YES, but I lack the capability
│     → delegate via execute_task (see delegate-task skill)
└── NO match
      → handle it yourself, or delegate via execute_task

Notes

  • This is for discovery — you see results and decide. For direct execution, use execute_task from the delegate-task skill.
  • Cloud skills have been evolved through real use — more reliable than skills written from scratch.
  • Always tell the user what you found (or didn't find) and what you recommend.

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.