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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>
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@@ -1,7 +1,7 @@
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---
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name: team-frontend
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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".
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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(*)
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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(*)
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---
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# Team Frontend Development
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@@ -54,7 +54,8 @@ Before calling ANY tool, apply this check:
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| Tool Call | Verdict | Reason |
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|-----------|---------|--------|
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| `spawn_agent`, `wait_agent`, `close_agent`, `send_input` | ALLOWED | Orchestration |
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| `spawn_agent`, `wait_agent`, `close_agent`, `send_message`, `assign_task` | ALLOWED | Orchestration |
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| `list_agents` | ALLOWED | Agent health check |
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| `request_user_input` | ALLOWED | User interaction |
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| `mcp__ccw-tools__team_msg` | ALLOWED | Message bus |
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| `Read/Write` on `.workflow/.team/` files | ALLOWED | Session state |
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@@ -84,6 +85,8 @@ Coordinator spawns workers using this template:
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```
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spawn_agent({
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agent_type: "team_worker",
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task_name: "<task-id>",
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fork_context: false,
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items: [
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{ type: "text", text: `## Role Assignment
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role: <role>
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@@ -107,7 +110,29 @@ pipeline_phase: <pipeline-phase>` },
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})
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```
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After spawning, use `wait_agent({ ids: [...], timeout_ms: 900000 })` to collect results, then `close_agent({ id })` each worker.
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After spawning, use `wait_agent({ targets: [...], timeout_ms: 900000 })` to collect results, then `close_agent({ target })` each worker.
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### Model Selection Guide
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| Role | model | reasoning_effort | Rationale |
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|------|-------|-------------------|-----------|
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| Analyst (ANALYZE-*) | (default) | high | Design intelligence requires deep UI/UX reasoning |
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| Architect (ARCH-*) | (default) | high | Component spec and design token generation needs precision |
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| Developer (DEV-*) | (default) | high | Frontend code generation needs full reasoning |
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| QA (QA-*) | (default) | high | 5-dimension audit requires thorough analysis |
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Override model/reasoning_effort in spawn_agent when cost optimization is needed:
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```
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spawn_agent({
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agent_type: "team_worker",
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task_name: "<task-id>",
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fork_context: false,
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model: "<model-override>",
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reasoning_effort: "<effort-level>",
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items: [...]
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})
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```
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## User Commands
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@@ -141,6 +166,55 @@ After spawning, use `wait_agent({ ids: [...], timeout_ms: 900000 })` to collect
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- [specs/pipelines.md](specs/pipelines.md) — Pipeline definitions and task registry
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## v4 Agent Coordination
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### Message Semantics
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| Intent | API | Example |
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|--------|-----|---------|
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| Send architecture specs to running developer | `send_message` | Queue design tokens and component specs to DEV-* |
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| Not used in this skill | `assign_task` | No resident agents -- all workers are one-shot |
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| Check running agents | `list_agents` | Verify agent health during resume |
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### Pipeline Pattern
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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.
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### fork_context Consideration
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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:
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```
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// Consider fork_context: true for developer in feature/system modes
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spawn_agent({
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agent_type: "team_worker",
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task_name: "DEV-001",
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fork_context: true, // Developer gets full coordinator context including design decisions
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items: [...]
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})
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```
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### GC Loop (QA Fix Cycle)
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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.
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### Agent Health Check
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Use `list_agents({})` in handleResume and handleComplete:
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```
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// Reconcile session state with actual running agents
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const running = list_agents({})
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// Compare with tasks.json active_agents
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// Reset orphaned tasks (in_progress but agent gone) to pending
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```
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### Named Agent Targeting
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Workers are spawned with `task_name: "<task-id>"` enabling direct addressing:
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- `send_message({ target: "DEV-001", items: [...] })` -- queue architecture specs to running developer
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- `close_agent({ target: "ARCH-001" })` -- cleanup by name after completion
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## Error Handling
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| Scenario | Resolution |
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