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-frontend/roles/coordinator/commands/monitor.md

@@ -109,6 +109,7 @@ Find and spawn the next ready tasks.
 ```
 spawn_agent({
   agent_type: "team_worker",
+  task_name: taskId,  // e.g., "DEV-001" — enables named targeting
   items: [{
     description: "Spawn <role> worker for <task-id>",
     team_name: "frontend",
@@ -136,7 +137,22 @@ Execute built-in Phase 1 -> role-spec Phase 2-4 -> built-in Phase 5.`
 | feature | After QA-001 arch review | Spawn DEV-001 |
 | system | After QA-001 arch review | Spawn ARCH-002 + DEV-001 in parallel |
 
-4. STOP after spawning -- use `wait_agent({ ids: [<spawned-agent-ids>] })` to wait for next callback
+4. STOP after spawning -- use `wait_agent({ targets: [<spawned-task-names>], timeout_ms: 900000 })` to wait for next callback. If `result.timed_out`, mark tasks as `timed_out` and close agents. Use `close_agent({ target: taskId })` with task_name for cleanup.
+
+**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 analysis 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.
 
 ### handleCheck
 
@@ -157,6 +173,16 @@ Output status -- do NOT advance pipeline.
 
 ### 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:
@@ -166,6 +192,14 @@ 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**:

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

@@ -6,7 +6,7 @@ Orchestrate team-frontend: 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):
@@ -34,6 +34,8 @@ WRONG: Edit/Write on project source files            — worker work
 - Handle GC loops (developer <-> qa) with max 2 iterations
 - 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 (analyzing, designing, coding, reviewing) -- workers handle this
@@ -165,6 +167,16 @@ Delegate to @commands/monitor.md#handleSpawnNext:
    - auto_archive -> Archive & Clean (status=completed, remove/archive session folder)
    - 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 |