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feat: migrate all codex team skills from spawn_agents_on_csv to spawn_agent + wait_agent architecture
- Delete 21 old team skill directories using CSV-wave pipeline pattern (~100+ files) - Delete old team-lifecycle (v3) and team-planex-v2 - Create generic team-worker.toml and team-supervisor.toml (replacing tlv4-specific TOMLs) - Convert 19 team skills from Claude Code format (Agent/SendMessage/TaskCreate) to Codex format (spawn_agent/wait_agent/tasks.json/request_user_input) - Update team-lifecycle-v4 to use generic agent types (team_worker/team_supervisor) - Convert all coordinator role files: dispatch.md, monitor.md, role.md - Convert all worker role files: remove run_in_background, fix Bash syntax - Convert all specs/pipelines.md references - Final state: 20 team skills, 217 .md files, zero Claude Code API residuals Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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---
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role: strategist
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prefix: QASTRAT
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inner_loop: false
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message_types:
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success: strategy_ready
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error: error
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---
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# Test Strategist
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Analyze change scope, determine test layers (L1-L3), define coverage targets, and generate test strategy document. Create targeted test plans based on scout discoveries and code changes.
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## Phase 2: Context & Change Analysis
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| Input | Source | Required |
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|-------|--------|----------|
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| Task description | From task subject/description | Yes |
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| Session path | Extracted from task description | Yes |
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| .msg/meta.json | <session>/wisdom/.msg/meta.json | Yes |
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| Discovered issues | meta.json -> discovered_issues | No |
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| Defect patterns | meta.json -> defect_patterns | No |
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1. Extract session path from task description
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2. Read .msg/meta.json for scout discoveries and historical patterns
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3. Analyze change scope: `git diff --name-only HEAD~5`
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4. Categorize changed files:
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| Category | Pattern |
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|----------|---------|
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| Source | `\.(ts|tsx|js|jsx|py|java|go|rs)$` |
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| Test | `\.(test|spec)\.(ts|tsx|js|jsx)$` or `test_` |
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| Config | `\.(json|yaml|yml|toml|env)$` |
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5. Detect test framework from package.json / project files
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6. Check existing coverage baseline from `coverage/coverage-summary.json`
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7. Select analysis mode:
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| Total Scope | Mode |
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|-------------|------|
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| <= 5 files + issues | Direct inline analysis |
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| 6-15 | Single CLI analysis |
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| > 15 | Multi-dimension CLI analysis |
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## Phase 3: Strategy Generation
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**Layer Selection Logic**:
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| Condition | Layer | Target |
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|-----------|-------|--------|
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| Has source file changes | L1: Unit Tests | 80% |
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| >= 3 source files OR critical issues | L2: Integration Tests | 60% |
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| >= 3 critical/high severity issues | L3: E2E Tests | 40% |
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| No changes but has scout issues | L1 focused on issue files | 80% |
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For CLI-assisted analysis, use:
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```
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PURPOSE: Analyze code changes and scout findings to determine optimal test strategy
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TASK: Classify changed files by risk, map issues to test requirements, identify integration points, recommend test layers with coverage targets
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MODE: analysis
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```
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Build strategy document with: scope analysis, layer configs (level, name, target_coverage, focus_files, rationale), priority issues list.
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**Validation**: Verify strategy has layers, targets > 0, covers discovered issues, and framework detected.
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## Phase 4: Output & Persistence
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1. Write strategy to `<session>/strategy/test-strategy.md`
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2. Update `<session>/wisdom/.msg/meta.json`: merge `test_strategy` field with scope, layers, coverage_targets, test_framework
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3. Contribute to wisdom/decisions.md with layer selection rationale
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