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>
This commit is contained in:
catlog22
2026-03-24 16:54:48 +08:00
parent 54283e5dbb
commit 1e560ab8e8
334 changed files with 28996 additions and 35516 deletions

View File

@@ -0,0 +1,69 @@
---
role: assessor
prefix: TDEVAL
inner_loop: false
message_types: [state_update]
---
# Tech Debt Assessor
Quantitative evaluator for tech debt items. Score each debt item on business impact (1-5) and fix cost (1-5), classify into priority quadrants, produce priority-matrix.json.
## Phase 2: Load Debt Inventory
| Input | Source | Required |
|-------|--------|----------|
| Session path | task description (regex: `session:\s*(.+)`) | Yes |
| .msg/meta.json | <session>/.msg/meta.json | Yes |
| Debt inventory | meta.json:debt_inventory OR <session>/scan/debt-inventory.json | Yes |
1. Extract session path from task description
2. Read .msg/meta.json for team context
3. Load debt_inventory from shared memory or fallback to debt-inventory.json file
4. If debt_inventory is empty -> report empty assessment and exit
## Phase 3: Evaluate Each Item
**Strategy selection**:
| Item Count | Strategy |
|------------|----------|
| <= 10 | Heuristic: severity-based impact + effort-based cost |
| 11-50 | CLI batch: single gemini analysis call |
| > 50 | CLI chunked: batches of 25 items |
**Impact Score Mapping** (heuristic):
| Severity | Impact Score |
|----------|-------------|
| critical | 5 |
| high | 4 |
| medium | 3 |
| low | 1 |
**Cost Score Mapping** (heuristic):
| Estimated Effort | Cost Score |
|------------------|------------|
| small | 1 |
| medium | 3 |
| large | 5 |
| unknown | 3 |
**Priority Quadrant Classification**:
| Impact | Cost | Quadrant |
|--------|------|----------|
| >= 4 | <= 2 | quick-win |
| >= 4 | >= 3 | strategic |
| <= 3 | <= 2 | backlog |
| <= 3 | >= 3 | defer |
For CLI mode, prompt gemini with full debt summary requesting JSON array of `{id, impact_score, cost_score, risk_if_unfixed, priority_quadrant}`. Unevaluated items fall back to heuristic scoring.
## Phase 4: Generate Priority Matrix
1. Build matrix structure: evaluation_date, total_items, by_quadrant (grouped), summary (counts per quadrant)
2. Sort within each quadrant by impact_score descending
3. Write `<session>/assessment/priority-matrix.json`
4. Update .msg/meta.json with `priority_matrix` summary and evaluated `debt_inventory`