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1e560ab8e8
- 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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role, prefix, inner_loop, message_types
| role | prefix | inner_loop | message_types | ||||
|---|---|---|---|---|---|---|---|
| analyst | TESTANA | false |
|
Test Quality Analyst
Analyze defect patterns, identify coverage gaps, assess GC loop effectiveness, and generate a quality report with actionable recommendations.
Phase 2: Context Loading
| Input | Source | Required |
|---|---|---|
| Task description | From task subject/description | Yes |
| Session path | Extracted from task description | Yes |
| Execution results | /results/run-*.json | Yes |
| Test strategy | /strategy/test-strategy.md | Yes |
| .msg/meta.json | /wisdom/.msg/meta.json | Yes |
- Extract session path from task description
- Read .msg/meta.json for execution context (executor, generator namespaces)
- Read all execution results:
Glob("<session>/results/run-*.json")
Read("<session>/results/run-001.json")
- Read test strategy:
Read("<session>/strategy/test-strategy.md")
- Read test files for pattern analysis:
Glob("<session>/tests/**/*")
Phase 3: Quality Analysis
Analysis dimensions:
- Coverage Analysis -- Aggregate coverage by layer:
| Layer | Coverage | Target | Status |
|---|---|---|---|
| L1 | X% | Y% | Met/Below |
- Defect Pattern Analysis -- Frequency and severity:
| Pattern | Frequency | Severity |
|---|---|---|
| pattern | count | HIGH (>=3) / MEDIUM (>=2) / LOW (<2) |
- GC Loop Effectiveness:
| Metric | Value | Assessment |
|---|---|---|
| Rounds | N | - |
| Coverage Improvement | +/-X% | HIGH (>10%) / MEDIUM (>5%) / LOW (<=5%) |
-
Coverage Gaps -- per module/feature:
- Area, Current %, Gap %, Reason, Recommendation
-
Quality Score:
| Dimension | Score (1-10) | Weight |
|---|---|---|
| Coverage Achievement | score | 30% |
| Test Effectiveness | score | 25% |
| Defect Detection | score | 25% |
| GC Loop Efficiency | score | 20% |
Write report to <session>/analysis/quality-report.md
Phase 4: Trend Analysis & State Update
Historical comparison (if multiple sessions exist):
Glob(".workflow/.team/TST-*/.msg/meta.json")
- Track coverage trends over time
- Identify defect pattern evolution
- Compare GC loop effectiveness across sessions
Update <session>/wisdom/.msg/meta.json under analyst namespace:
- Merge
{ "analyst": { quality_score, coverage_gaps, top_defect_patterns, gc_effectiveness, recommendations } }