refactor: deep Codex v4 API conversion for all 20 team skills

Upgrade all team-* skills from mechanical v3→v4 API renames to deep
v4 tool integration with skill-adaptive patterns:

- list_agents: health checks in handleResume, cleanup verification in
  handleComplete, added to allowed-tools and coordinator toolbox
- Named targeting: task_name uses task-id (e.g. EXPLORE-001) instead
  of generic <role>-worker, enabling send_message/assign_task by name
- Message semantics: send_message for supplementary cross-agent context
  vs assign_task for triggering work, with skill-specific examples
- Model selection: per-role reasoning_effort guidance matching each
  skill's actual roles (not generic boilerplate)
- timeout_ms: added to all wait_agent calls, timed_out handling in
  all 18 monitor.md files
- Skill-adaptive v4 sections: ultra-analyze N-parallel coordination,
  lifecycle-v4 supervisor assign_task/send_message distinction,
  brainstorm ideator parallel patterns, iterdev generator-critic loops,
  frontend-debug iterative debug assign_task, perf-opt benchmark
  context sharing, executor lightweight trimmed v4, etc.

60 files changed across 20 team skills (SKILL.md, monitor.md, role.md)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
catlog22
2026-03-27 22:25:32 +08:00
parent 3d39ac6ac8
commit 88ea7fc6d7
60 changed files with 2318 additions and 215 deletions

View File

@@ -1,7 +1,7 @@
---
name: team-frontend
description: Unified team skill for frontend development. Pure router — all roles read this file. Beat model is coordinator-only in monitor.md. Built-in ui-ux-pro-max design intelligence. Triggers on "team frontend".
allowed-tools: spawn_agent(*), wait_agent(*), send_input(*), close_agent(*), report_agent_job_result(*), request_user_input(*), Read(*), Write(*), Edit(*), Bash(*), Glob(*), Grep(*), WebFetch(*), WebSearch(*), mcp__ace-tool__search_context(*)
allowed-tools: spawn_agent(*), wait_agent(*), send_message(*), assign_task(*), close_agent(*), list_agents(*), report_agent_job_result(*), request_user_input(*), Read(*), Write(*), Edit(*), Bash(*), Glob(*), Grep(*), WebFetch(*), WebSearch(*), mcp__ace-tool__search_context(*)
---
# Team Frontend Development
@@ -54,7 +54,8 @@ Before calling ANY tool, apply this check:
| Tool Call | Verdict | Reason |
|-----------|---------|--------|
| `spawn_agent`, `wait_agent`, `close_agent`, `send_input` | ALLOWED | Orchestration |
| `spawn_agent`, `wait_agent`, `close_agent`, `send_message`, `assign_task` | ALLOWED | Orchestration |
| `list_agents` | ALLOWED | Agent health check |
| `request_user_input` | ALLOWED | User interaction |
| `mcp__ccw-tools__team_msg` | ALLOWED | Message bus |
| `Read/Write` on `.workflow/.team/` files | ALLOWED | Session state |
@@ -84,6 +85,8 @@ Coordinator spawns workers using this template:
```
spawn_agent({
agent_type: "team_worker",
task_name: "<task-id>",
fork_context: false,
items: [
{ type: "text", text: `## Role Assignment
role: <role>
@@ -107,7 +110,29 @@ pipeline_phase: <pipeline-phase>` },
})
```
After spawning, use `wait_agent({ ids: [...], timeout_ms: 900000 })` to collect results, then `close_agent({ id })` each worker.
After spawning, use `wait_agent({ targets: [...], timeout_ms: 900000 })` to collect results, then `close_agent({ target })` each worker.
### Model Selection Guide
| Role | model | reasoning_effort | Rationale |
|------|-------|-------------------|-----------|
| Analyst (ANALYZE-*) | (default) | high | Design intelligence requires deep UI/UX reasoning |
| Architect (ARCH-*) | (default) | high | Component spec and design token generation needs precision |
| Developer (DEV-*) | (default) | high | Frontend code generation needs full reasoning |
| QA (QA-*) | (default) | high | 5-dimension audit requires thorough analysis |
Override model/reasoning_effort in spawn_agent when cost optimization is needed:
```
spawn_agent({
agent_type: "team_worker",
task_name: "<task-id>",
fork_context: false,
model: "<model-override>",
reasoning_effort: "<effort-level>",
items: [...]
})
```
## User Commands
@@ -141,6 +166,55 @@ After spawning, use `wait_agent({ ids: [...], timeout_ms: 900000 })` to collect
- [specs/pipelines.md](specs/pipelines.md) — Pipeline definitions and task registry
## v4 Agent Coordination
### Message Semantics
| Intent | API | Example |
|--------|-----|---------|
| Send architecture specs to running developer | `send_message` | Queue design tokens and component specs to DEV-* |
| Not used in this skill | `assign_task` | No resident agents -- all workers are one-shot |
| Check running agents | `list_agents` | Verify agent health during resume |
### Pipeline Pattern
Sequential pipeline with GC loops: analyst -> architect -> developer -> QA. In **system mode**, architect revision (ARCH-002) and developer (DEV-001) may run in parallel after QA-001 arch review.
### fork_context Consideration
Developer workers (DEV-*) benefit from `fork_context: true` when the coordinator has accumulated significant design context (analysis results, architecture specs, design tokens). This avoids the developer needing to re-read all upstream artifacts:
```
// Consider fork_context: true for developer in feature/system modes
spawn_agent({
agent_type: "team_worker",
task_name: "DEV-001",
fork_context: true, // Developer gets full coordinator context including design decisions
items: [...]
})
```
### GC Loop (QA Fix Cycle)
QA may flag FIX_REQUIRED, creating DEV-fix + QA-recheck tasks (max 2 rounds). If QA score remains < 6 after 2 rounds, escalate to user.
### Agent Health Check
Use `list_agents({})` in handleResume and handleComplete:
```
// Reconcile session state with actual running agents
const running = list_agents({})
// Compare with tasks.json active_agents
// Reset orphaned tasks (in_progress but agent gone) to pending
```
### Named Agent Targeting
Workers are spawned with `task_name: "<task-id>"` enabling direct addressing:
- `send_message({ target: "DEV-001", items: [...] })` -- queue architecture specs to running developer
- `close_agent({ target: "ARCH-001" })` -- cleanup by name after completion
## Error Handling
| Scenario | Resolution |