agentleFS
NAVANEETHVVINODNAVANEETHVVINOD/agent-orchestrator/skills/capability-manager/SKILL.md

capability-manager

Skill0 starsChanged 41 days agoApache-2.0View on GitHub

Research, compare, create or adopt project-specific agents, skills and MCP integrations when existing capabilities leave a concrete gap. Verify provenance, scope, actual registration and smoke tests; preserve user tools and installation authority.

2 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

4 rules. About 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    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:

    Start with the requested project, acceptance criteria and actual session catalog/tool schemas.

    line 8
  2. Distinctive:

    Read the acquisition and creation contract.

    line 13
  3. Distinctive:

    Use a scoped capability_researcher or native read-only fallback to compare maintained primary-source candidates, exact source/artifact …

    line 14
  4. Distinctive:

    Keep generated role instructions bounded.

    line 22

≈ “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

Project capability manager

Start with the requested project, acceptance criteria and actual session catalog/tool schemas. Reuse suitable connected capabilities and existing roles. Identify the concrete gap before researching tools or generating another skill. Do not install a framework just because it is popular or listed in a registry.

Read the acquisition and creation contract. Use a scoped capability_researcher or native read-only fallback to compare maintained primary-source candidates, exact source/artifact versions, licenses, compatibility, privileges, data destinations, costs, dependencies and evaluation evidence. Include reuse/direct implementation as alternatives. Separate verified facts from vendor claims.

The coordinator selects from evidence and confirmed constraints. For creation, assign an owned-file worker/scoped_implementer and load the host's skill-creator/mcp-builder guidance when available. Otherwise follow the self-contained creation contract here. Keep generated role instructions bounded; they cannot invent tools, permissions or independent reviewers. Independently review and test the result before activation.

Adopt only the selected reviewed source/artifact into the authorized scope. Reuse existing authorization for the same action/target; a recommendation or model score does not authorize arbitrary installs, account linking, global changes or data uploads. Prepare a concrete plan/diff first when authority is missing. Never overwrite another user's same-name role/skill or change permission policy to make an integration work.

Track candidate -> selected -> reviewed -> created/downloaded -> installed -> configured -> registered/discovered -> connected/authenticated when applicable -> smoke-tested -> active, or rejected/blocked/rolled back. Each transition needs actual evidence. Installed files alone cannot pass a live-connection check. Record exact scope, source revision/digest, test results, update policy and rollback in the project's docs/. Stop the failing capability, preserve evidence, and continue independent work after a demonstrated integration failure.

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.