Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
中文简介正在准备中。当前显示原文说明。
Coordinates QA workflow across planning, writing, and execution agents. Use when user requests testing, quality assurance, or test documentation.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
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:
还没有评价。欢迎分享你的使用感受。
无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
Pre-action boundary checking — validates agent tool calls against declared capabilities and task contracts
中文简介正在准备中。当前显示原文说明。
Auto-detect project context and optimize harness — deactivate unused agents/skills, suggest missing experts, generate project profile
中文简介正在准备中。当前显示原文说明。
Adversarial code review using attacker mindset — trust boundary, attack surface, business logic, and defense evaluation
中文简介正在准备中。当前显示原文说明。
Apache Airflow best practices for DAG authoring, testing, and production deployment
中文简介正在准备中。当前显示原文说明。
Alembic migration patterns for naming conventions, safety checks, expand-contract, env.py configuration, and CI integration
中文简介正在准备中。当前显示原文说明。
Pre-routing ambiguity analysis — scores request clarity and asks clarifying questions when needed (inspired by ouroboros)
中文简介正在准备中。当前显示原文说明。