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>

.codex/skills/team-iterdev/SKILL.md

@@ -1,7 +1,7 @@
 ---
 name: team-iterdev
 description: Unified team skill for iterative development team. Pure router — all roles read this file. Beat model is coordinator-only in monitor.md. Generator-Critic loops (developer<->reviewer, max 3 rounds). Triggers on "team iterdev".
-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 IterDev
@@ -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 +110,19 @@ 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
+
+Iterative development uses Generator-Critic loops. Developer and reviewer need high reasoning for code generation and review quality.
+
+| Role | reasoning_effort | Rationale |
+|------|-------------------|-----------|
+| architect | high | Design decisions require careful tradeoff analysis |
+| developer | high | Code generation needs precision, inner loop role |
+| tester | medium | Test execution follows defined verification plan |
+| reviewer | high | Critical review quality drives GC loop effectiveness |
 
 ## User Commands
 
@@ -145,6 +160,52 @@ 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 |
+|--------|-----|---------|
+| Queue supplementary info (don't interrupt) | `send_message` | Send design context to running developer |
+| Assign GC iteration round | `assign_task` | Assign revision to developer after reviewer feedback |
+| Check running agents | `list_agents` | Verify agent health during resume |
+
+### Agent Health Check
+
+Use `list_agents({})` in handleResume and handleComplete:
+
+```
+// Reconcile session state with actual running agents
+const running = list_agents({})
+// Compare with task-ledger.json active tasks
+// 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: [...] })` -- send design context to developer
+- `assign_task({ target: "DEV-001", items: [...] })` -- assign revision after reviewer feedback
+- `close_agent({ target: "REVIEW-001" })` -- cleanup after GC loop completes
+
+### Generator-Critic Loop via assign_task (Deep Interaction Pattern)
+
+The developer-reviewer GC loop uses `assign_task` for iteration rounds:
+```
+// Round N: Reviewer found issues -> coordinator assigns revision to developer
+assign_task({
+  target: "DEV-001",
+  items: [
+    { type: "text", text: `## GC Revision Round ${N}
+review_feedback: <reviewer findings from REVIEW-001>
+iteration: ${N}/3
+instruction: Address reviewer feedback. Focus on: <specific issues>.` }
+  ]
+})
+```
+
+After developer completes revision, coordinator spawns/assigns reviewer for next round. Max 3 rounds per GC cycle.
+
 ## Error Handling
 
 | Scenario | Resolution |

.codex/skills/team-iterdev/roles/coordinator/commands/monitor.md

@@ -93,6 +93,7 @@ state.tasks[taskId].status = 'in_progress'
 // 2) Spawn worker
 const agentId = spawn_agent({
   agent_type: "team_worker",
+  task_name: taskId,  // e.g., "DEV-001" — enables named targeting
   items: [
     { type: "text", text: `## Role Assignment
 role: ${role}
@@ -110,12 +111,19 @@ Execute built-in Phase 1 -> role-spec Phase 2-4 -> built-in Phase 5.` }
 // 3) Track agent
 state.active_agents[taskId] = { agentId, role, started_at: now }
 
-// 4) Wait for completion
-wait_agent({ ids: [agentId] })
-
-// 5) Collect results and update tasks.json
-state.tasks[taskId].status = 'completed'
-delete state.active_agents[taskId]
+// 4) Wait for completion — use task_name for stable targeting (v4)
+const waitResult = wait_agent({ targets: [taskId], timeout_ms: 900000 })
+if (waitResult.timed_out) {
+  state.tasks[taskId].status = 'timed_out'
+  close_agent({ target: taskId })
+  delete state.active_agents[taskId]
+  // Report timeout, STOP
+} else {
+  // 5) Collect results and update tasks.json
+  state.tasks[taskId].status = 'completed'
+  close_agent({ target: taskId })  // Use task_name, not agentId
+  delete state.active_agents[taskId]
+}
 ```
 
 4. **Parallel spawn rules**:
@@ -128,6 +136,21 @@ delete state.active_agents[taskId]
 | Multi-Sprint | VERIFY + DEV-fix both unblocked | Spawn BOTH in parallel, wait_agent for both |
 | Multi-Sprint | Other stages | One worker at a time |
 
+**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 design results to running developer
+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.
+
 5. STOP after processing -- wait for next event
 
 ### handleCheck
@@ -149,6 +172,16 @@ Session: <session-id>
 
 ### 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
+```
+
 Resume pipeline after user pause or interruption.
 
 1. Audit tasks.json for inconsistencies:
@@ -158,6 +191,14 @@ Resume pipeline after user pause or interruption.
 
 ### 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
+```
+
 Triggered when all pipeline tasks are completed.
 
 **Completion check by mode**:

.codex/skills/team-iterdev/roles/coordinator/role.md

@@ -6,7 +6,7 @@ Orchestrate team-iterdev: analyze -> dispatch -> spawn -> monitor -> report.
 
 **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):
@@ -35,6 +35,8 @@ WRONG: Edit/Write on project source files            — worker work
 - Maintain tasks.json for real-time progress
 - 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
 - Implement domain logic (designing, coding, testing, reviewing) -- workers handle this
@@ -169,6 +171,16 @@ Delegate to @commands/monitor.md#handleSpawnNext:
    - auto_archive -> Archive & Clean (status=completed)
    - 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 |