.claude/skills/team-testing/SKILL.md
Unified team skill for testing team. Progressive test coverage through Generator-Critic loops, shared memory, and dynamic layer selection. Triggers on "team testing".
npx skillsauth add catlog22/claude-code-workflow team-testingInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Orchestrate multi-agent test pipeline: strategist -> generator -> executor -> analyst. Progressive layer coverage (L1/L2/L3) with Generator-Critic loops for coverage convergence.
Skill(skill="team-testing", args="task description")
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SKILL.md (this file) = Router
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+--------------+--------------+
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no --role flag --role <name>
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Coordinator Worker
roles/coordinator/role.md roles/<name>/role.md
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+-- analyze -> dispatch -> spawn workers -> STOP
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+-------+-------+-------+-------+
v v v v
[strat] [gen] [exec] [analyst]
team-worker agents, each loads roles/<role>/role.md
| Role | Path | Prefix | Inner Loop | |------|------|--------|------------| | coordinator | roles/coordinator/role.md | — | — | | strategist | roles/strategist/role.md | STRATEGY-* | false | | generator | roles/generator/role.md | TESTGEN-* | true | | executor | roles/executor/role.md | TESTRUN-* | dynamic | | analyst | roles/analyst/role.md | TESTANA-* | false |
Parse $ARGUMENTS:
--role <name> -> Read roles/<name>/role.md, execute Phase 2-4--role -> @roles/coordinator/role.md, execute entry routerTST.workflow/.team/TST-<slug>-<date>/testingccw cli --mode analysis (read-only), ccw cli --mode write (modifications)mcp__ccw-tools__team_msg(session_id=<session-id>, ...)Coordinator spawns workers using this template:
Agent({
subagent_type: "team-worker",
description: "Spawn <role> worker",
team_name: "testing",
name: "<role>",
run_in_background: true,
prompt: `## Role Assignment
role: <role>
role_spec: <skill_root>/roles/<role>/role.md
session: <session-folder>
session_id: <session-id>
team_name: testing
requirement: <task-description>
inner_loop: <true|false>
Read role_spec file (@<skill_root>/roles/<role>/role.md) to load Phase 2-4 domain instructions.
Execute built-in Phase 1 (task discovery) -> role Phase 2-4 -> built-in Phase 5 (report).`
})
| Command | Action |
|---------|--------|
| check / status | View pipeline status graph |
| resume / continue | Advance to next step |
| revise <TASK-ID> | Revise specific task |
| feedback <text> | Inject feedback for revision |
When pipeline completes, coordinator presents:
AskUserQuestion({
questions: [{
question: "Testing pipeline complete. What would you like to do?",
header: "Completion",
multiSelect: false,
options: [
{ label: "Archive & Clean (Recommended)", description: "Archive session, clean up team" },
{ label: "Keep Active", description: "Keep session for follow-up work" },
{ label: "Deepen Coverage", description: "Add more test layers or increase coverage targets" }
]
}]
})
.workflow/.team/TST-<slug>-<date>/
├── .msg/messages.jsonl # Team message bus
├── .msg/meta.json # Session metadata
├── wisdom/ # Cross-task knowledge
├── strategy/ # Strategist output
├── tests/ # Generator output (L1-unit/, L2-integration/, L3-e2e/)
├── results/ # Executor output
└── analysis/ # Analyst output
| Scenario | Resolution | |----------|------------| | Unknown --role value | Error with available role list | | Role not found | Error with expected path (roles/<name>/role.md) | | CLI tool fails | Worker fallback to direct implementation | | GC loop exceeded | Accept current coverage with warning | | Fast-advance conflict | Coordinator reconciles on next callback | | Completion action fails | Default to Keep Active |
testing
End-to-end test-fix workflow generate test sessions with progressive layers (L0-L3), then execute iterative fix cycles until pass rate >= 95%. Combines test-fix-gen and test-cycle-execute into a unified pipeline. Triggers on "workflow:test-fix-cycle".
devops
Explore-first wave pipeline. Decomposes requirement into exploration angles, runs wave exploration via spawn_agents_on_csv, synthesizes findings into execution tasks with cross-phase context linking (E*→T*), then wave-executes via spawn_agents_on_csv.
data-ai
Initialize project-level state and configure specs via interactive questionnaire.
documentation
Add specs, conventions, constraints, or learnings to project guidelines interactively or automatically