agentleFS
adhyayanrathi01adhyayanrathi01/product-manager-os/skills/communication/AGENTS.md

product-manager-os / communication

AGENTS.md2 starsChanged 2 months agoMITView on GitHub

The file

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

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    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:

    Call a decision confirmed only when the source records explicit approval from an authorized owner.

    line 7
  2. Distinctive:

    Do not send messages, replies, reactions, or email without explicit approval.

    line 8
  3. Distinctive:

    Use the company communication style from context.md when available.

    line 9

≈ “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

Team-communication rules

  • Allow standalone analysis by date range, channel, thread, team, module, feature, topic, or decision.
  • Discover available communication sources at runtime; do not assume a provider.
  • Respect source permissions, private-channel boundaries, and the requested participant scope.
  • Exclude bots, automated alerts, and irrelevant conversation where possible.
  • Call a decision confirmed only when the source records explicit approval from an authorized owner; otherwise label it proposed or unclear.
  • Do not send messages, replies, reactions, or email without explicit approval.
  • Use the company communication style from context.md when available.

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.