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

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@@ -1,7 +1,7 @@
---
name: team-brainstorm
description: Unified team skill for brainstorming team. Uses team-worker agent architecture with role directories for domain logic. Coordinator orchestrates pipeline, workers are team-worker agents. Triggers on "team brainstorm".
allowed-tools: spawn_agent(*), wait_agent(*), send_input(*), close_agent(*), report_agent_job_result(*), request_user_input(*), Read(*), Write(*), Edit(*), Bash(*), Glob(*), Grep(*)
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(*)
---
# Team Brainstorm
@@ -53,7 +53,8 @@ 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 |
@@ -83,6 +84,8 @@ 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>
@@ -106,7 +109,7 @@ 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: <name> })` each worker.
**Parallel ideator spawn** (Full pipeline with N angles):
@@ -115,6 +118,8 @@ When Full pipeline has N parallel IDEA tasks, spawn N distinct team-worker agent
```
spawn_agent({
agent_type: "team_worker",
task_name: "ideator-<N>",
fork_context: false,
items: [
{ type: "text", text: `## Role Assignment
role: ideator
@@ -139,7 +144,29 @@ 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: <name> })` each worker.
### Model Selection Guide
| Role | model | reasoning_effort | Rationale |
|------|-------|-------------------|-----------|
| Ideator (IDEA-*) | (default) | high | Creative divergent thinking requires full reasoning |
| Challenger (CHALLENGE-*) | (default) | high | Critical analysis of ideas needs deep reasoning |
| Synthesizer (SYNTH-*) | (default) | medium | Aggregation and convergence over generation |
| Evaluator (EVAL-*) | (default) | medium | Scoring and ranking against criteria |
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
@@ -178,6 +205,47 @@ 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 |
|--------|-----|---------|
| Share idea context across ideators | `send_message` | Send seed ideas to running ideator for cross-pollination |
| Not used in this skill | `assign_task` | No resident agents -- all workers are one-shot |
| Check running agents | `list_agents` | Verify parallel ideator health during Full pipeline |
### Parallel Ideator Coordination (Full Pipeline)
Full pipeline spawns N parallel ideators for different brainstorming angles. Use batch spawn + wait:
```
// Spawn N ideators in parallel, each with a different angle
const ideatorNames = ["IDEA-001", "IDEA-002", "IDEA-003"]
for (const name of ideatorNames) {
spawn_agent({ agent_type: "team_worker", task_name: name, fork_context: false, ... })
}
wait_agent({ targets: ideatorNames, timeout_ms: 900000 })
// Collect all idea outputs, feed to challenger as upstream context
```
### 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: "IDEA-002", items: [...] })` -- share context from another ideator
- `close_agent({ target: "IDEA-001" })` -- cleanup by name after wait_agent returns
## Error Handling
| Scenario | Resolution |

View File

@@ -51,7 +51,7 @@ Worker completed. Process and advance.
- Log team_msg with type "gc_loop_trigger" or "task_unblocked"
- If skipping GC tasks, mark them as completed (skip)
5. Close completed agent: `close_agent({ id: <agentId> })`
5. Close completed agent: `close_agent({ target: <agentId> })`
6. Proceed to handleSpawnNext
## handleCheck
@@ -69,6 +69,16 @@ Read-only status report, then STOP.
## handleResume
**Agent Health Check** (v4):
```
// Verify actual running agents match session state
const runningAgents = list_agents({})
// For each active_agent in tasks.json:
// - If agent NOT in runningAgents -> agent crashed
// - Reset that task to pending, remove from active_agents
// This prevents stale agent references from blocking the pipeline
```
1. Audit task list: Tasks stuck in "in_progress" -> reset to "pending"
2. Proceed to handleSpawnNext
@@ -86,6 +96,7 @@ Find ready tasks, spawn workers, STOP.
```
const agentId = spawn_agent({
agent_type: "team_worker",
task_name: taskId, // e.g., "IDEA-001" — enables named targeting
items: [{ type: "text", text: `## Role Assignment
role: <role>
role_spec: ~ or <project>/.codex/skills/team-brainstorm/roles/<role>/role.md
@@ -99,10 +110,10 @@ Find ready tasks, spawn workers, STOP.
Execute built-in Phase 1 (task discovery) -> role Phase 2-4 -> built-in Phase 5 (report).` }]
})
```
d. Collect agent results: `wait_agent({ ids: [agentId], timeout_ms: 900000 })`
d. Collect agent results: `wait_agent({ targets: [taskId], timeout_ms: 900000 })`
e. Read discoveries from output files
f. Update tasks.json with results
g. Close agent: `close_agent({ id: agentId })`
g. Close agent: `close_agent({ target: taskId })` // Use task_name, not agentId
5. Parallel spawn rules:
| Pipeline | Scenario | Spawn Behavior |
@@ -118,18 +129,48 @@ const agentIds = []
for (const task of readyIdeatorTasks) {
agentIds.push(spawn_agent({
agent_type: "team_worker",
task_name: task.id, // e.g., "IDEA-001" — enables named targeting
items: [{ type: "text", text: `...role: ideator-<N>...` }]
}))
}
const results = wait_agent({ ids: agentIds, timeout_ms: 900000 })
// Process results, close agents
for (const id of agentIds) { close_agent({ id }) }
// Use task_name for stable targeting (v4)
const taskNames = readyIdeatorTasks.map(t => t.id)
const results = wait_agent({ targets: taskNames, timeout_ms: 900000 })
if (results.timed_out) {
for (const taskId of taskNames) { state.tasks[taskId].status = 'timed_out'; close_agent({ target: taskId }) }
} else {
// Process results, close agents
for (const taskId of taskNames) { close_agent({ target: taskId }) }
}
```
**Cross-Agent Supplementary Context** (v4):
When spawning workers in a later pipeline phase, send upstream results as supplementary context to already-running workers:
```
// Example: Send ideation results to running challenger
send_message({
target: "<running-agent-task-name>",
items: [{ type: "text", text: `## Supplementary Context\n${upstreamFindings}` }]
})
// Note: send_message queues info without interrupting the agent's current work
```
Use `send_message` (not `assign_task`) for supplementary info that enriches but doesn't redirect the agent's current task.
6. Update session, output summary, STOP
## handleComplete
**Cleanup Verification** (v4):
```
// Verify all agents are properly closed
const remaining = list_agents({})
// If any team agents still running -> close_agent each
// Ensures clean session shutdown
```
Pipeline done. Generate report and completion action.
Completion check by mode:

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@@ -6,7 +6,7 @@ Orchestrate team-brainstorm: topic clarify -> dispatch -> spawn -> monitor -> re
**You are a dispatcher, not a doer.** Your ONLY outputs are:
- Session state files (`.workflow/.team/` directory)
- `spawn_agent` / `wait_agent` / `close_agent` / `send_input` calls
- `spawn_agent` / `wait_agent` / `close_agent` / `send_message` / `assign_task` calls
- Status reports to the user / `request_user_input` prompts
**FORBIDDEN** (even if the task seems trivial):
@@ -34,6 +34,8 @@ WRONG: Edit/Write on project source files — worker work
- Manage Generator-Critic loop count (max 2 rounds)
- Execute completion action in Phase 5
- **Always proceed through full Phase 1-5 workflow, never skip to direct execution**
- Use `send_message` for supplementary context (non-interrupting) and `assign_task` for triggering new work
- Use `list_agents` for session resume health checks and cleanup verification
### MUST NOT
- Generate ideas, challenge assumptions, synthesize, or evaluate -- workers handle this
@@ -149,6 +151,16 @@ Delegate to @commands/monitor.md#handleSpawnNext:
- auto_archive -> Archive & Clean (status=completed, clean up session)
- auto_keep -> Keep Active (status=paused)
## v4 Coordination Patterns
### Message Semantics
- **send_message**: Queue supplementary info to a running agent. Does NOT interrupt current processing. Use for: sharing upstream results, context enrichment, FYI notifications.
- **assign_task**: Assign new work and trigger processing. Use for: waking idle agents, redirecting work, requesting new output.
### Agent Lifecycle Management
- **list_agents({})**: Returns all running agents. Use in handleResume to reconcile session state with actual running agents. Use in handleComplete to verify clean shutdown.
- **Named targeting**: Workers spawned with `task_name: "<task-id>"` can be addressed by name in send_message, assign_task, and close_agent calls.
## Error Handling
| Error | Resolution |