agentleFS
45ck45ck/video-evaluator/skills/skill-catalog/SKILL.md

skill-catalog

Skill2 starsChanged 7 months agoMITView on GitHub

List the shipped video-evaluator skills so an agent can discover the shared review and artifact-intake surface.

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

11 rules. About 0 are common, 2 are distinctive, and 9 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 9

    Very specific

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

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

    Use this when an agent needs to discover the shipped capabilities in video-evaluator before choosing a narrower tool.

    line 8
  2. Very specific:

    Run this first when you are dropped into an unfamiliar repo or an installed .video-evaluator pack and do not know which narrower skill is …

    line 29
  3. Distinctive:

    After catalog discovery, choose the smallest skill that answers the task:

    line 31
  4. Very specific:

    Use video-artifact-intake to map a run directory before reviewing it.

    line 33
  5. Very specific:

    Use review-bundle for a fast status summary of one run.

    line 34
  6. Very specific:

    Use storyboard-extract, storyboard-ocr, storyboard-transitions, and storyboard-understand in that order for visual evidence.

    line 35
  7. Very specific:

    Use compare-video-runs only when two bundles are available.

    line 37
  8. Very specific:

    Use package-review-prompt when another agent needs a grounded prompt.

    line 38
  9. Distinctive:

    Do not run this repeatedly once you already know the needed skill.

    line 42
  10. Very specific:

    If the catalog runner is missing, the skill pack may not be installed correctly.

    line 47
  11. Very specific:

    Use the repo-side runner from the source checkout, or run install-skill-pack from the source repo if you need to materialize the pack …

    line 48

≈ “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

Skill Catalog

Use this when an agent needs to discover the shipped capabilities in video-evaluator before choosing a narrower tool.

Inputs

Pass an empty JSON object:

{}

The runner reads JSON from stdin and returns JSON on stdout.

Outputs

The result lists each shipped skill with its name, description, example request path, and local runner hints. Treat the catalog as discovery metadata, not as a review result.

Sequencing Guidance

Run this first when you are dropped into an unfamiliar repo or an installed .video-evaluator pack and do not know which narrower skill is appropriate. After catalog discovery, choose the smallest skill that answers the task:

  • Use video-artifact-intake to map a run directory before reviewing it.
  • Use review-bundle for a fast status summary of one run.
  • Use storyboard-extract, storyboard-ocr, storyboard-transitions, and storyboard-understand in that order for visual evidence.
  • Use compare-video-runs only when two bundles are available.
  • Use package-review-prompt when another agent needs a grounded prompt.

Abstention Rules

Do not run this repeatedly once you already know the needed skill. Do not use it as proof that artifacts exist; it only describes available capabilities.

Failure Modes

If the catalog runner is missing, the skill pack may not be installed correctly. Use the repo-side runner from the source checkout, or run install-skill-pack from the source repo if you need to materialize the pack elsewhere.

Repo-side runner:

node --import tsx scripts/harness/skill-catalog.ts

Installed-pack runner:

node ./.video-evaluator/agent/run-tool.mjs skill-catalog

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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.