claude-skills
CLAUDE.md1 starsChanged 20 days agoMITView on GitHub
Every role reads this file, right after the repo instructions (.claude/CLAUDE.md, shown above as "Repo instructions"). Those rules apply to the team as written and are not repeated here. This file holds only what is about the team. Keep it short. claude-skills holds Claude Code skills. You are working on the agile-team skill: its runner (agile-team/runner/, Python, uv) is the program that runs you. Read agile-team/reference/protocol.md for how it works today. - Run every tool from the repo root through…
In this repository8 other files it gives its agents.
- .claude/CLAUDE.mdCLAUDE.md
- agile-teamSkill
- example-skillSkill
- house-rulesSkill
- render-markdownSkill
- routed-group-chatSkill
- six-hatsSkill
- unattendedSkill
The file
We split this CLAUDE.md into the rules it gives an agent
5 rules. About 0 are common, 2 are distinctive, and 3 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.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 3
Every role reads this file, right after the repo instructions (.claude/CLAUDE.md, shown above as "Repo instructions").
- Very specific: line 17
Run every tool from the repo root through the configured commands (uv run --directory agile-team/runner …).
- Distinctive: line 24
No new runtime dependencies without an ADR.
- Very specific: line 36
Product Backlog: every open story not committed to a sprint (sprint is null in state.json).
- Distinctive: line 41
Always say Product Backlog or Sprint Backlog, never just "backlog".
≈ “Common” is an estimate: at least 1 in 5 of the 26,980 CLAUDE.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.
Files
Team charter
Every role reads this file, right after the repo instructions
(.claude/CLAUDE.md, shown above as "Repo instructions"). Those rules
apply to the team as written and are not repeated here. This file holds only
what is about the team. Keep it short.
What this repo is
claude-skills holds Claude Code skills. You are working on the
agile-team skill: its runner (agile-team/runner/, Python, uv) is the
program that runs you. Read agile-team/reference/protocol.md for how it
works today.
House rules
- Run every tool from the repo root through the configured commands
(
uv run --directory agile-team/runner …); nevercd. - Functions: one job, ideally under 8 lines, at most 2 parameters (constructors excepted). No boolean parameters or flags; use an enum.
- Docstrings on public functions, brief. Comments inside functions only for non-obvious pitfalls.
- Coverage is currently 100%; keep it there.
- No new runtime dependencies without an ADR. The dashboard uses the stdlib only (http.server, SSE).
- Docs move in the same story as the code.
- The test suite points
AGILE_TEAM_HOMEat a scratch dir.
Domain vocabulary
- story: a unit of work in
.team/stories/<id>.md; AC = acceptance criterion. - requirement:
agile-team/docs/requirements/REQ-NNN.md. - liaison: the interactive Claude session relaying to the human.
- snapshot: the JSON the dashboard renders; its contract is
agile-team/runner/agile_team/dashboard/fixtures/snapshot.json. - Product Backlog: every open story not committed to a sprint (
sprintisnullinstate.json). The runner, the docs and the dashboard still call this "the backlog". - Sprint Backlog: the stories committed to the current sprint that are not done.
- Always say Product Backlog or Sprint Backlog, never just "backlog". When anyone, the human included, says only "backlog" and it matters which one, ask which they mean before acting.
Do not touch
install.sh,tests/install_test.sh,example-skill/..claude/(the human's repo instructions; you read them, never write them).
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
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.

