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-issue/SKILL.md

@@ -1,7 +1,7 @@
 ---
 name: team-issue
 description: Unified team skill for issue resolution. Uses team-worker agent architecture with role directories for domain logic. Coordinator orchestrates pipeline, workers are team-worker agents. Triggers on "team issue".
-allowed-tools: spawn_agent(*), wait_agent(*), send_input(*), close_agent(*), report_agent_job_result(*), request_user_input(*), Read(*), Write(*), Edit(*), Bash(*), Glob(*), Grep(*), mcp__ace-tool__search_context(*), mcp__ccw-tools__team_msg(*)
+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(*), mcp__ace-tool__search_context(*), mcp__ccw-tools__team_msg(*)
 ---
 
 # Team Issue Resolution
@@ -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 |
@@ -85,6 +86,8 @@ 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>
@@ -108,13 +111,15 @@ 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.
 
 **Parallel spawn** (Batch mode, N explorer or M implementer instances):
 
 ```
 spawn_agent({
   agent_type: "team_worker",
+  task_name: "<task-id>",
+  fork_context: false,
   items: [
     { type: "text", text: `## Role Assignment
 role: <role>
@@ -139,7 +144,30 @@ 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 |
+|------|-------|-------------------|-----------|
+| Explorer (EXPLORE-*) | (default) | medium | Context gathering, file reading, less reasoning |
+| Planner (SOLVE-*) | (default) | high | Solution design requires deep analysis |
+| Reviewer (AUDIT-*) | (default) | high | Code review and plan validation need full reasoning |
+| Integrator (MARSHAL-*) | (default) | medium | Queue ordering and dependency resolution |
+| Implementer (BUILD-*) | (default) | high | Code generation needs precision |
+
+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
 
@@ -176,6 +204,57 @@ 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 exploration context to running planner | `send_message` | Queue EXPLORE-* findings to SOLVE-* worker |
+| Not used in this skill | `assign_task` | No resident agents -- all workers are one-shot |
+| Check running agents | `list_agents` | Verify parallel explorer/implementer health |
+
+### Pipeline Pattern
+
+Pipeline with context passing: explore -> plan -> review (optional) -> marshal -> implement. In **Batch mode**, N explorers and M implementers run in parallel:
+
+```
+// Batch mode: spawn N explorers in parallel (max 5)
+const explorerNames = ["EXPLORE-001", "EXPLORE-002", ..., "EXPLORE-00N"]
+for (const name of explorerNames) {
+  spawn_agent({ agent_type: "team_worker", task_name: name, ... })
+}
+wait_agent({ targets: explorerNames, timeout_ms: 900000 })
+
+// After MARSHAL completes: spawn M implementers in parallel (max 3)
+const buildNames = ["BUILD-001", "BUILD-002", ..., "BUILD-00M"]
+for (const name of buildNames) {
+  spawn_agent({ agent_type: "team_worker", task_name: name, ... })
+}
+wait_agent({ targets: buildNames, timeout_ms: 900000 })
+```
+
+### Review-Fix Cycle
+
+Reviewer (AUDIT-*) may reject plans, triggering fix cycles (max 2). Dynamic SOLVE-fix and AUDIT re-review tasks are created in tasks.json.
+
+### 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: "SOLVE-001", items: [...] })` -- queue exploration context to running planner
+- `close_agent({ target: "BUILD-001" })` -- cleanup by name after completion
+
 ## Error Handling
 
 | Scenario | Resolution |