agentleFS
jgeofiljgeofil/agent-skills/skills/diagrams/floorplan/SKILL.md

floorplan

Skill0 starsChanged 45 days agoNo licenceView on GitHub

Draw a floorplan of an app's codebase (one repo or several side by side), an interactive node-graph map where every subsystem, module, file and HTTP route has a human-readable name and a one-line description, connected by the imports and HTTP calls between them, at several zoom levels. It is saved as a self-contained floorplan/index.html in the codebase. Use whenever the user wants to visualize, map, diagram, document or get an architectural overview of a codebase, repo or monorepo, understand how their app works or is connected under the hood, onboard onto unfamiliar code, see how the frontend talks to the backend, or update an existing floorplan, even if they don't say \"visualize\". Also use it before any code exists: when the user shares a PRD, a spec or a description of something they want to build and asks what pieces it needs or how they'd fit together, it draws a blueprint, the same map planned from the document.

  • Reads credentials

1 other project uses a version of this, 1 of them edited.

Adopted by

Most recently taken up by

The file

Show its rules and text

We split this skill into the rules it gives an agent

15 rules. About 0 are common, 6 are distinctive, and 9 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈6

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 9

    Very specific

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

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “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.

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.