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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# Fix
Revision workflow for bug fixes and feedback-driven changes.
## Workflow
1. Read original task + feedback/revision notes from task description
2. Load original implementation context (files modified, approach taken)
3. Analyze feedback to identify specific changes needed
4. Apply fixes:
- Agent mode: Edit tool for targeted changes
- CLI mode: Resume previous session with fix prompt
5. Re-validate convergence criteria
6. Report: original task, changes applied, validation result
## Fix Prompt Template (CLI mode)
```
PURPOSE: Fix issues in <task.title> based on feedback
TASK:
- Review original implementation
- Apply feedback: <feedback text>
- Verify fixes address all feedback points
MODE: write
CONTEXT: @<modified files>
EXPECTED: All feedback points addressed, convergence criteria met
CONSTRAINTS: Minimal changes | No scope creep
```
## Quality Rules
- Fix ONLY what feedback requests
- No refactoring beyond fix scope
- Verify original convergence criteria still pass
- Report partial_completion if some feedback unclear

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# Implement
Execute implementation from task JSON via agent or CLI delegation.
## Agent Mode
Direct implementation using Edit/Write/Bash tools:
1. Read task.files[] as target files
2. Read task.implementation[] as step-by-step instructions
3. For each step:
- Substitute [variable] placeholders with pre_analysis results
- New file -> Write tool; Modify file -> Edit tool
- Follow task.reference patterns
4. Apply task.rationale.chosen_approach
5. Mitigate task.risks[] during implementation
Quality rules:
- Verify module existence before referencing
- Incremental progress -- small working changes
- Follow existing patterns from task.reference
- ASCII-only, no premature abstractions
## CLI Delegation Mode
Build prompt from task JSON, delegate to CLI:
Prompt structure:
```
PURPOSE: <task.title>
<task.description>
TARGET FILES:
<task.files[] with paths and changes>
IMPLEMENTATION STEPS:
<task.implementation[] numbered>
PRE-ANALYSIS CONTEXT:
<pre_analysis results>
REFERENCE:
<task.reference pattern and files>
DONE WHEN:
<task.convergence.criteria[]>
MODE: write
CONSTRAINTS: Only modify listed files | Follow existing patterns
```
CLI call:
```
Bash(`ccw cli -p "<prompt>" --tool <tool> --mode write --rule development-implement-feature`)
```
Resume strategy:
| Strategy | Command |
|----------|---------|
| new | --id <session>-<task_id> |
| resume | --resume <parent_id> |
RoleSpec: `.codex/skills/team-lifecycle-v4/roles/executor/role.md`