Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
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Coordinates QA workflow across planning, writing, and execution agents. Use when user requests testing, quality assurance, or test documentation.
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설치 방법 보기설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
When this skill spawns a subagent via the Agent tool, the spawned prompt MUST include this directive verbatim (or equivalent):
ALL tool calls targeting
.claude/paths MUST go through/tmp/*.shscript via Bash. This includes read-only measurement (sed/cat/wc/ls/grep), Write, Edit. Read tool is exempt. Direct Write/Edit/Bash on .claude/ triggers user approval prompts that block unattended automation. See R010 for the full pattern.
This directive is preserved inline because Agent-tool prompt synthesis can drop SKILL.md notes; inline mandatory directives survive (#1046 lesson).
Coordinates QA team activities by routing tasks to qa-planner, qa-writer, and qa-engineer agents. This skill contains the coordination logic for orchestrating the complete quality assurance workflow.
| Agent | Role | Output |
|---|---|---|
| qa-planner | Test planning | QA plans, test scenarios, acceptance criteria |
| qa-writer | Documentation | Test cases, test reports, templates |
| qa-engineer | Execution | Test results, defect reports, coverage reports |
Before routing via Agent tool, evaluate Agent Teams eligibility first:
Self-check: Does this task need 3+ agents, shared state, or inter-agent communication? If yes, prefer Agent Teams over Agent tool. See R018 for the full decision matrix.
| Scenario | Preferred |
|---|---|
| Single QA phase (plan/write/execute) | Agent Tool |
| Full QA cycle (plan + write + execute + report) | Agent Teams |
| Quality analysis (parallel strategy + results) | Agent Teams |
| Quick test validation | Agent Tool |
QA Request → Routing → QA Agent(s)
test_planning → qa-planner
test_documentation → qa-writer
test_execution → qa-engineer
quality_analysis → qa-planner + qa-engineer (parallel)
full_qa_cycle → all agents (sequential)
Permission Mode: When spawning agents via Agent tool, always pass
mode: "bypassPermissions". The Agent tool default (acceptEdits) overrides agent frontmatterpermissionMode, causing permission prompts during unattended execution.
If get_agent_for_task MCP tool is available, call it with the original query and inject suggested_skills into the agent prompt. Skip silently on failure.
For ambiguous routing (confidence < 90%), query the wiki for context:
wiki/index.yaml for QA-related pages matching the requestAdvisory only — skip silently if wiki unavailable.
If the selected agent has soul: true in frontmatter, read and prepend .claude/agents/souls/{agent-name}.soul.md content to the prompt. Skip silently if file doesn't exist.
Full QA cycle follows sequential phases (each depends on the previous):
qa-planner → qa-writer → qa-engineer → qa-writer
(plan) (document) (execute) (report)
Parallel execution only for independent analyses (e.g., multi-module testing). See R009.
All QA agents use sonnet by default for balanced quality output.
When a QA task involves unfamiliar testing patterns or tools:
User Input → QA task with unrecognized tool/pattern
↓
Detect: Testing framework or QA methodology keyword
↓
Delegate to mgr-creator with context:
domain: detected QA tool/methodology
type: qa-engineer
keywords: extracted testing terms
skills: auto-discover from .claude/skills/
guides: auto-discover from templates/guides/
Examples of dynamic creation triggers:
This skill is NOT user-invocable. It should be automatically triggered when the main conversation detects QA intent.
Detection criteria:
아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.
아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.
Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
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Auto-detect project context and optimize harness — deactivate unused agents/skills, suggest missing experts, generate project profile
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Adversarial code review using attacker mindset — trust boundary, attack surface, business logic, and defense evaluation
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Apache Airflow best practices for DAG authoring, testing, and production deployment
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Alembic migration patterns for naming conventions, safety checks, expand-contract, env.py configuration, and CI integration
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Pre-routing ambiguity analysis — scores request clarity and asks clarifying questions when needed (inspired by ouroboros)
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