CLAUDE AGENTS TEAM
Claude Agents Team
الصفحات · Claude Agents Team

Contributing to agents-team

The plugin is a small set of templates + a Python toolchain. Most contributions land in one of three places:

  1. A new archetype (agent or skill template).
  2. A new rubric line-item (rule the linter or judge should fire).
  3. A workflow tweak (rule template, hook, scaffold behavior).

This guide covers all three.

Project layout

text

gh-pms workflow

Issues are tracked under github.com/fadymondy/agents-team/issues. The repo uses gh-pms labels (type:*, status:*, severity:*, effort:*, svc:*).

Standard flow:

  1. Pick an open status:todo issue (or file a new type:feature / type:bug).
  2. Move it to status:in-progress (/gh-pms:gh-current or gh issue edit ... --add-label status:in-progress).
  3. Work on a feature branch. Commit messages reference the issue (Closes #N).
  4. Push and open a PR.
  5. After merge, the issue auto-closes.

Plan-first: any change touching 2+ files or crossing a service boundary needs a plan in .plans/YYYY-MM-DD-{slug}.md before code lands. See rule 01.

Add a new archetype

Steps:

  1. Add the template under plugins/agents-team/templates/agents/<name>.md.template (or templates/skills/).
  2. Use {{placeholders}} for values the generator will fill — see render.py.
  3. Add a filled-in fixture under templates/fixtures/example-<name>.md.
  4. Run the static linter on the fixture: python3 plugins/agents-team/lib/eval/lint.py templates/fixtures/example-<name>.md. The fixture must produce 0 critical findings.
  5. Update docs/team-gen.md's archetype catalog table.
  6. Update skills/team-gen/SKILL.md — add a one-liner under "Available agent archetypes".
  7. Open a PR with Closes #N referencing the issue you started from.

Add a new rubric line-item

Every rule has to cite a source. No exceptions for the canonical rubric — unsourced rules go in experimental/ and are off by default.

Steps:

  1. Pick the dimension (frontmatter, description, tool_hygiene, model_fit, body_structure, anti_patterns).

  2. Decide the phase: static (deterministic, regex / structure check) or judge (LLM nuance).

  3. Write the rule entry in lib/eval/rubric.md — stable ID (<dim>.<rule>), severity, phase, prompt for the judge / lint check, citation URL.

  4. If static: implement the rule function in lib/eval/lint.py under the matching @rule("<dim>") decorator. Each function yields zero or more Finding objects.

  5. If judge: it's automatically picked up by judge.py from the rubric — no code change needed.

  6. Add a known-bad fixture at templates/eval-fixtures/known-bad/<rule>.md that exercises the rule. The linter must produce a finding with the matching ID.

  7. Run the full smoke test:

    bash

  8. Update the calibration set if you've changed how an existing rule fires (Galileo 0.80 Spearman target).

Add a new rule template

These are the per-team rules /team-gen drops into .claude/rules/. They are not the same as evaluator rubric items.

Steps:

  1. Pick a slot. Numbers go up; reuse an existing number only if you're replacing it. Current span: 01..13.
  2. Add templates/rules/NN-<kebab>.md with frontmatter description + the body. Open with **When this applies:** so the generator can pick a subset by domain.
  3. Update docs/team-gen.md → "Pick rules" if the rule is part of a default set.
  4. Reference any new placeholders ({{services}}, {{primary_locale}}, …) so the scaffolder can fill them.

Add a new hook

Hooks fire from Claude Code on events like SessionStart, Notification, Stop, TaskCompleted, TeammateIdle.

Steps:

  1. Add templates/hooks/<name>.sh. Use {{TEAM_NAME}} for placeholders.
  2. Make it executable (chmod +x).
  3. Wire it in templates/hooks/settings.json.partial so the scaffolder merges it into the generated team's settings.json.
  4. Run a syntax check: bash -n templates/hooks/<name>.sh.

Run the test suite

There isn't a formal test suite yet — instead, the contract is:

  • python3 lib/eval/lint.py templates/fixtures/<any>.md passes.
  • python3 lib/eval/lint.py templates/eval-fixtures/known-bad/<any>.md produces the expected critical / warning rule.
  • python3 lib/gen/scaffold.py /tmp/spec.json --target /tmp/test-output exits 0 with all generated agents at A-grade.
  • bash -n passes on every shell script under templates/hooks/ and lib/eval/.

A formal pytest layer is a v0.2 issue.

Style

  • Python — stdlib only; no pyyaml, no requests, no click. The frontmatter parser is deliberately a regex sub.
  • Bash — works under bash 3.2 (macOS default) and bash 5+ (Linux). No set -u if you can avoid it; tests have shown it bites with empty arrays.
  • Markdown — third-person descriptions in skills; numbered procedures in agents; cite sources for any rule.
  • Comments — only when the why is non-obvious. The code's what should be obvious from naming and structure.

Release ritual

Releases are tagged v<MAJOR>.<MINOR>.<PATCH> and follow Semantic Versioning. The plugin.json version is the source of truth: a release commit bumps it from <X.Y.Z>-dev to <X.Y.Z>, the commit is tagged, and a follow-up commit bumps to <X.Y+1.0>-dev so "is this a release build?" is answerable from the manifest alone.

Procedure:

bash

Tag style is vX.Y.Z (with the v), matching git-cliff's default tag pattern in cliff.toml.

License

MIT. By submitting a PR you agree your contribution is licensed under the same terms.