agentleFS
evancaevanca/flutter-ai-rules/AGENTS.md

flutter-ai-rules

AGENTS.md669 starsChanged 3 months agoMITView on GitHub

The file

We split this AGENTS.md into the rules it gives an agent

5 rules. About 0 are common, 1 is distinctive, and 4 are 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.

  • 4

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Keep files small and modular.

    line 4
  2. Very specific:

    After each task, run afplay /System/Library/Sounds/Glass.aiff.

    line 5
  3. Very specific:

    After each step, suggest a short commit title: Implement dashboard for features.

    line 6
  4. Very specific:

    After deploying Flutter to Chrome, press r.

    line 7
  5. Very specific:

    Write every skill’s YAML description on one line starting with Use when.

    line 8

≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md 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
AGENTS.md

Global Agent Rules

  1. Be concise. The owner works on several apps in parallel and has limited time to read your outputs; don't use a full paragraph when a single short sentence will do.
  2. Keep files small and modular; split large files into reusable parts.
  3. After each task, run afplay /System/Library/Sounds/Glass.aiff.
  4. After each step, suggest a short commit title: Implement dashboard for features; Fix: Problem for fixes. Use no other prefixes.
  5. After deploying Flutter to Chrome, press r; restart it if pubspec.yaml or assets changed.
  6. Write every skill’s YAML description on one line starting with Use when; include only trigger conditions.

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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.