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Get Started Free →Unified team skill for quality assurance. Full closed-loop QA combining issue discovery and software testing. Triggers on "team quality-assurance", "team qa".
.claude/skills/catlog22-team-quality-assurance/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-06 | ✗→✓ | ▲ Improved | 101% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 69% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 33% | 0% |
| case-11 | ✗→✓ | ▲ Improved | 141% | 0% |
| case-13 | ✗→✓ | ▲ Improved | 68% | 0% |
Orchestrate multi-agent QA: scout -> strategist -> generator -> executor -> analyst. Supports discovery, testing, and full closed-loop modes with parallel generation and GC loops.
Skill(skill="team-quality-assurance", args="task description")
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SKILL.md (this file) = Router
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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 v
[scout] [strat] [gen] [exec] [analyst]
team-worker agents, each loads roles/<role>/role.md| Role | Path | Prefix | Inner Loop | |------|------|--------|------------| | coordinator | roles/coordinator/role.md | — | — | | scout | roles/scout/role.md | SCOUT- | false | | strategist | [roles/strategist/role.md](roles/strategist/role.md) | QASTRAT- | false | | generator | roles/generator/role.md | QAGEN- | false | | executor | [roles/executor/role.md](roles/executor/role.md) | QARUN- | true | | analyst | roles/analyst/role.md | QAANA- | false |
Parse $ARGUMENTS:
--role <name> -> Read roles/<name>/role.md, execute Phase 2-4--role -> roles/coordinator/role.md, execute entry routerCoordinator is a PURE ORCHESTRATOR. It coordinates, it does NOT do.
Before calling ANY tool, apply this check:
| Tool Call | Verdict | Reason | |-----------|---------|--------| | spawn_agent, wait_agent, close_agent, send_message, followup_task | ALLOWED | Orchestration | | list_agents | ALLOWED | Agent health check | | request_user_input | ALLOWED | User interaction | | mcp__ccw-tools__team_msg | ALLOWED | Message bus | | Read/Write on .workflow/.team/ files | ALLOWED | Session state | | Read on roles/, commands/, specs/ | ALLOWED | Loading own instructions | | Read/Grep/Glob on project source code | BLOCKED | Delegate to worker | | Edit on any file outside .workflow/ | BLOCKED | Delegate to worker | | Bash("ccw cli ...") | BLOCKED | Only workers call CLI | | Bash running build/test/lint commands | BLOCKED | Delegate to worker |
If a tool call is BLOCKED: STOP. Create a task, spawn a worker.
No exceptions for "simple" tasks. Even a single-file read-and-report MUST go through spawn_agent.
QA.workflow/.team/QA-<date>-<slug>/quality-assuranceccw 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:
spawn_agent({
agent_type: "team_worker",
task_name: "<task-id>",
fork_turns: "none",
message: `## Role Assignment
role: <role>
role_spec: <skill_root>/roles/<role>/role.md
session: <session-folder>
session_id: <session-id>
requirement: <task-description>
inner_loop: <true|false>
Read role_spec file (<skill_root>/roles/<role>/role.md) to load Phase 2-4 domain instructions.
## Task Context
task_id: <task-id>
title: <task-title>
description: <task-description>
pipeline_phase: <pipeline-phase>
## Upstream Context
<prev_context>`
})After spawning, use wait_agent({ timeout_ms: 1800000 }) to collect results. If result.timed_out, send STATUS_CHECK via followup_task (wait 3 min), then FINALIZE with interrupt (wait 3 min), then mark timed_out and close agents. Use close_agent({ target }) each worker.
| Role | model | reasoning_effort | Rationale | |------|-------|-------------------|-----------| | Scout (SCOUT-) | (default) | medium | Issue discovery scanning, less reasoning needed | | Strategist (QASTRAT-) | (default) | high | Test strategy design requires deep analysis | | Generator (QAGEN-) | (default) | high | Test code generation needs precision | | Executor (QARUN-) | (default) | medium | Running tests and collecting results | | Analyst (QAANA-) | (default) | high | Quality analysis and coverage assessment |
Override model/reasoning_effort in spawn_agent when cost optimization is needed:
spawn_agent({
agent_type: "team_worker",
task_name: "<task-id>",
fork_turns: "none",
model: "<model-override>",
reasoning_effort: "<effort-level>",
message: "..."
})| Command | Action | |---------|--------| | check / status | View pipeline status graph | | resume / continue | Advance to next step | | --mode=discovery | Force discovery mode | | --mode=testing | Force testing mode | | --mode=full | Force full QA mode |
| Intent | API | Example | |--------|-----|---------| | Send scout findings to running strategist | send_message | Queue issue scan results to QASTRAT- | | Not used in this skill | followup_task | No resident agents -- all workers are one-shot | | Check running agents | list_agents | Verify agent health during resume |
Sequential pipeline with GC loops: scout -> strategist -> generator -> executor -> analyst. The executor/generator may loop via GC fix tasks when coverage is below target (max 3 rounds).
Use list_agents({}) in handleResume and handleComplete:
// Reconcile session state with actual running agents
const running = list_agents({})
// Compare with tasks.json active_agents
// Reset orphaned tasks (in_progress but agent gone) to pendingWorkers are spawned with task_name: "<task-id>" enabling direct addressing:
send_message({ target: "QASTRAT-001", message: "..." }) -- queue scout findings to running strategistclose_agent({ target: "SCOUT-001" }) -- cleanup by name after completionWhen pipeline completes, coordinator presents:
functions.request_user_input({
questions: [{
question: "Quality Assurance pipeline complete. What would you like to do?",
header: "Completion",
multiSelect: false,
options: [
{ label: "Archive & Clean (Recommended)", description: "Archive session, clean up" },
{ label: "Keep Active", description: "Keep session for follow-up work" },
{ label: "Export Results", description: "Export deliverables to target directory" }
]
}]
}).workflow/.team/QA-<date>-<slug>/
├── .msg/messages.jsonl # Team message bus
├── .msg/meta.json # Session state + shared memory
├── wisdom/ # Cross-task knowledge
├── scan/ # Scout output
├── strategy/ # Strategist output
├── tests/ # Generator output (L1/, L2/, L3/)
├── 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 | | Scout finds no issues | Report clean scan, skip to testing mode | | GC loop exceeded | Accept current coverage with warning | | Fast-advance conflict | Coordinator reconciles on next callback | | Completion action fails | Default to Keep Active |
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-03 | fail→fail | 4,197 | 6,077 | +45% | 1 | 1 | 0% | 629 | 2,631 | +318% | 0 | 0 | — |
case-01 | fail→fail | 5,160 | 5,356 | +4% | 1 | 1 | 0% | 256 | 2,526 | +887% | 0 | 0 | — |
case-02 | fail→fail | 3,440 | 6,722 | +95% | 1 | 1 | 0% | 548 | 2,641 | +382% | 0 | 0 | — |
case-04 | fail→fail | 16,942 | 18,971 | +12% | 1 | 1 | 0% | 1,231 | 2,978 | +142% | 0 | 0 | — |
case-05 | fail→fail | 2,033 | 8,126 | +300% | 1 | 1 | 0% | 175 | 2,586 | +1378% | 0 | 0 | — |
case-06 | fail→pass | 6,943 | 7,978 | +15% | 1 | 1 | 0% | 1,423 | 2,860 | +101% | 0 | 0 | — |
case-07 | fail→fail | 10,761 | 4,824 | -55% | 1 | 1 | 0% | 1,361 | 2,896 | +113% | 0 | 0 | — |
case-08 | fail→pass | 11,594 | 2,959 | -74% | 1 | 1 | 0% | 1,646 | 2,774 | +69% | 0 | 0 | — |
case-09 | fail→fail | 6,856 | 2,555 | -63% | 1 | 1 | 0% | 1,105 | 2,653 | +140% | 0 | 0 | — |
case-10 | fail→pass | 15,088 | 6,487 | -57% | 1 | 1 | 0% | 2,554 | 3,406 | +33% | 0 | 0 | — |
case-11 | fail→pass | 6,502 | 2,821 | -57% | 1 | 1 | 0% | 1,139 | 2,742 | +141% | 0 | 0 | — |
case-12 | pass→pass | 12,003 | 5,206 | -57% | 1 | 1 | 0% | 1,648 | 2,974 | +80% | 0 | 0 | — |
case-13 | fail→pass | 11,365 | 42,472 | +274% | 1 | 1 | 0% | 1,718 | 2,890 | +68% | 0 | 0 | — |
case-14 | fail→pass | 12,755 | 3,410 | -73% | 1 | 1 | 0% | 2,089 | 2,692 | +29% | 0 | 0 | — |
case-15 | pass→pass | 9,829 | 3,193 | -68% | 1 | 1 | 0% | 1,725 | 2,676 | +55% | 0 | 0 | — |
case-16 | pass→pass | 10,943 | 5,861 | -46% | 1 | 1 | 0% | 1,789 | 3,078 | +72% | 0 | 0 | — |
case-17 | fail→pass | 12,073 | 3,336 | -72% | 1 | 1 | 0% | 2,040 | 2,860 | +40% | 0 | 0 | — |
case-18 | pass→fail | 9,340 | 9,687 | +4% | 1 | 1 | 0% | 1,585 | 3,063 | +93% | 0 | 0 | — |
case-19 | fail→pass | 9,866 | 1,981 | -80% | 1 | 1 | 0% | 1,550 | 2,485 | +60% | 0 | 0 | — |
case-20 | pass→pass | 4,124 | 6,920 | +68% | 1 | 1 | 0% | 821 | 3,565 | +334% | 0 | 0 | — |
case-21 | pass→pass | 4,264 | 6,143 | +44% | 1 | 1 | 0% | 868 | 3,474 | +300% | 0 | 0 | — |
case-22 | pass→pass | 3,648 | 7,538 | +107% | 1 | 1 | 0% | 728 | 3,617 | +397% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted, and 17 counted toward the lift figure. The other 5 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +32 percentage points is the difference between those two pass rates over the 17 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
| Model | Method | Date | Lift |
|---|---|---|---|
| gemini-3.6-flash | verified | 8/3/2026 | — |
Other measured skills in the registry, with their headline benchmark lift.