agentleFS
theopenappstheopenapps/plugin-stack/skills/plugin-stack/SKILL.md

plugin-stack

Skill4 starsChanged 10 days agoMITView on GitHub

Plan the next move for an AI plugin you build: a ChatGPT app, Claude plugin or connector, Cursor plugin or MCP server. Use when asked what to do next to ship or grow one, where to start after installing these skills, for a full review across a plugin's listing, tools and widgets, or to set up `.agents/plugin-stack.md`.

The file

We split this skill into the rules it gives an agent

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

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    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. Distinctive:

    Set up: Follow references/setup.md, using references/data.md and references/context-template.md.

    line 13
  2. Very specific:

    Suggest: Look up each listing in the file per references/data.md, then follow references/menu.md.

    line 14

≈ “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

plugin-stack

Steps

  1. Read .agents/plugin-stack.md. Missing: do step 2, then step 3. Present: go to step 3.
  2. Set up. Follow references/setup.md, using references/data.md and references/context-template.md. Done when the user has approved the file, it is written, and they have seen one finding about their plugin.
  3. Suggest. Look up each listing in the file per references/data.md, then follow references/menu.md. Done when the user has two or three next steps, each citing the state that earned it. Stop there; the user picks.

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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.