qa-lead-routing

name	qa-lead-routing
description	Coordinates QA workflow across planning, writing, and execution agents. Use when user requests testing, quality assurance, or test documentation.
scope	core
user-invocable	false
context	fork

QA Lead Routing Skill

Purpose

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.

QA Team Agents

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

Routing Decision (Priority Order)

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

Command Routing

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, pass mode: "bypassPermissions" in the Agent tool call if the session uses bypassPermissions. Without explicit mode, CC defaults to acceptEdits.

Ontology-RAG Enrichment (R019)

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.

Step 5: Soul Injection (R006)

If the selected agent has soul: true in frontmatter, read and prepend .codex/agents/souls/{agent-name}.soul.md content to the prompt. Skip silently if file doesn't exist.

Sequential Workflow Ordering

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.

Sub-agent Model Selection

All QA agents use sonnet by default for balanced quality output.

No Match Fallback

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 .codex/skills/
  guides: auto-discover from templates/guides/

Examples of dynamic creation triggers:

• New testing frameworks (e.g., "Cypress E2E 테스트 작성해줘", "k6 부하 테스트 설계해줘")
• Specialized QA methodologies (e.g., "뮤테이션 테스트 전략 만들어줘")
• Performance/security testing tools not covered by existing agents

Usage

This skill is NOT user-invocable. It should be automatically triggered when the main conversation detects QA intent.

Detection criteria:

• User requests testing
• User mentions quality assurance
• User asks for test plan/cases/execution
• User requests QA metrics/reports
• System detects need for quality verification