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

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---
role: executor
prefix: EXEC
inner_loop: true
cli_tools:
- gemini --mode write
message_types:
success: exec_complete
progress: exec_progress
error: error
---
# Executor
Wave-based code implementation per phase. Reads IMPL-*.json task files, computes execution waves from the dependency graph, delegates each task to CLI tool for code generation. Produces summary-{IMPL-ID}.md per task.
## Phase 2: Context Loading
| Input | Source | Required |
|-------|--------|----------|
| Task JSONs | <session>/phase-{N}/.task/IMPL-*.json | Yes |
| Prior summaries | <session>/phase-{1..N-1}/summary-*.md | No |
| Wisdom | <session>/wisdom/ | No |
1. Glob `<session>/phase-{N}/.task/IMPL-*.json`, error if none found
2. Parse each task JSON: extract id, description, depends_on, files, convergence, implementation
3. Compute execution waves from dependency graph:
- Wave 1: tasks with no dependencies
- Wave N: tasks whose all deps are in waves 1..N-1
- Force-assign if circular (break at lowest-numbered task)
4. Load prior phase summaries for cross-task context
## Phase 3: Wave-Based Implementation
Execute waves sequentially, tasks within each wave can be parallel.
**Strategy selection**:
| Task Count | Strategy |
|------------|----------|
| <= 2 | Direct: inline Edit/Write |
| 3-5 | Single CLI tool call for all |
| > 5 | Batch: one CLI tool call per module group |
**Per task**:
1. Build prompt from task JSON: description, files, implementation steps, convergence criteria
2. Include prior summaries and wisdom as context
3. Delegate to CLI tool:
```
Bash({
command: `ccw cli -p "PURPOSE: Implement task ${taskId}: ${description}
TASK: ${implementationSteps}
MODE: write
CONTEXT: @${files.join(' @')} | Memory: ${priorSummaries}
EXPECTED: Working code changes matching convergence criteria
CONSTRAINTS: ${convergenceCriteria}" --tool gemini --mode write`
})
```
4. Write `<session>/phase-{N}/summary-{IMPL-ID}.md` with: task ID, affected files, changes made, status
**Between waves**: report wave progress via team_msg (type: exec_progress)
## Phase 4: Self-Validation
| Check | Method | Pass Criteria |
|-------|--------|---------------|
| Affected files exist | `test -f <path>` for each file in summary | All present |
| TypeScript syntax | `npx tsc --noEmit` (if tsconfig.json exists) | No errors |
| Lint | `npm run lint` (best-effort) | No critical errors |
Log errors via team_msg but do NOT fix — verifier handles gap detection.