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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-brainstorm
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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".
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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(*)
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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(*)
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---
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# Team Brainstorm
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@@ -53,7 +53,8 @@ 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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@@ -83,6 +84,8 @@ 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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@@ -106,7 +109,7 @@ 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: <name> })` each worker.
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**Parallel ideator spawn** (Full pipeline with N angles):
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@@ -115,6 +118,8 @@ When Full pipeline has N parallel IDEA tasks, spawn N distinct team-worker agent
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```
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spawn_agent({
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agent_type: "team_worker",
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task_name: "ideator-<N>",
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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: ideator
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@@ -139,7 +144,29 @@ 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: <name> })` 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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| Ideator (IDEA-*) | (default) | high | Creative divergent thinking requires full reasoning |
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| Challenger (CHALLENGE-*) | (default) | high | Critical analysis of ideas needs deep reasoning |
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| Synthesizer (SYNTH-*) | (default) | medium | Aggregation and convergence over generation |
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| Evaluator (EVAL-*) | (default) | medium | Scoring and ranking against criteria |
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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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@@ -178,6 +205,47 @@ 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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| Share idea context across ideators | `send_message` | Send seed ideas to running ideator for cross-pollination |
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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 parallel ideator health during Full pipeline |
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### Parallel Ideator Coordination (Full Pipeline)
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Full pipeline spawns N parallel ideators for different brainstorming angles. Use batch spawn + wait:
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```
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// Spawn N ideators in parallel, each with a different angle
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const ideatorNames = ["IDEA-001", "IDEA-002", "IDEA-003"]
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for (const name of ideatorNames) {
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spawn_agent({ agent_type: "team_worker", task_name: name, fork_context: false, ... })
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}
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wait_agent({ targets: ideatorNames, timeout_ms: 900000 })
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// Collect all idea outputs, feed to challenger as upstream context
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```
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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: "IDEA-002", items: [...] })` -- share context from another ideator
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- `close_agent({ target: "IDEA-001" })` -- cleanup by name after wait_agent returns
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## Error Handling
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| Scenario | Resolution |
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@@ -51,7 +51,7 @@ Worker completed. Process and advance.
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- Log team_msg with type "gc_loop_trigger" or "task_unblocked"
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- If skipping GC tasks, mark them as completed (skip)
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5. Close completed agent: `close_agent({ id: <agentId> })`
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5. Close completed agent: `close_agent({ target: <agentId> })`
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6. Proceed to handleSpawnNext
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## handleCheck
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@@ -69,6 +69,16 @@ Read-only status report, then STOP.
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## handleResume
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**Agent Health Check** (v4):
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```
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// Verify actual running agents match session state
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const runningAgents = list_agents({})
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// For each active_agent in tasks.json:
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// - If agent NOT in runningAgents -> agent crashed
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// - Reset that task to pending, remove from active_agents
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// This prevents stale agent references from blocking the pipeline
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```
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1. Audit task list: Tasks stuck in "in_progress" -> reset to "pending"
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2. Proceed to handleSpawnNext
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@@ -86,6 +96,7 @@ Find ready tasks, spawn workers, STOP.
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```
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const agentId = spawn_agent({
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agent_type: "team_worker",
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task_name: taskId, // e.g., "IDEA-001" — enables named targeting
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items: [{ type: "text", text: `## Role Assignment
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role: <role>
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role_spec: ~ or <project>/.codex/skills/team-brainstorm/roles/<role>/role.md
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@@ -99,10 +110,10 @@ Find ready tasks, spawn workers, STOP.
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Execute built-in Phase 1 (task discovery) -> role Phase 2-4 -> built-in Phase 5 (report).` }]
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})
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```
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d. Collect agent results: `wait_agent({ ids: [agentId], timeout_ms: 900000 })`
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d. Collect agent results: `wait_agent({ targets: [taskId], timeout_ms: 900000 })`
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e. Read discoveries from output files
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f. Update tasks.json with results
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g. Close agent: `close_agent({ id: agentId })`
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g. Close agent: `close_agent({ target: taskId })` // Use task_name, not agentId
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5. Parallel spawn rules:
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| Pipeline | Scenario | Spawn Behavior |
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@@ -118,18 +129,48 @@ const agentIds = []
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for (const task of readyIdeatorTasks) {
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agentIds.push(spawn_agent({
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agent_type: "team_worker",
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task_name: task.id, // e.g., "IDEA-001" — enables named targeting
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items: [{ type: "text", text: `...role: ideator-<N>...` }]
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}))
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}
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const results = wait_agent({ ids: agentIds, timeout_ms: 900000 })
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// Process results, close agents
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for (const id of agentIds) { close_agent({ id }) }
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// Use task_name for stable targeting (v4)
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const taskNames = readyIdeatorTasks.map(t => t.id)
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const results = wait_agent({ targets: taskNames, timeout_ms: 900000 })
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if (results.timed_out) {
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for (const taskId of taskNames) { state.tasks[taskId].status = 'timed_out'; close_agent({ target: taskId }) }
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} else {
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// Process results, close agents
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for (const taskId of taskNames) { close_agent({ target: taskId }) }
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}
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```
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**Cross-Agent Supplementary Context** (v4):
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When spawning workers in a later pipeline phase, send upstream results as supplementary context to already-running workers:
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```
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// Example: Send ideation results to running challenger
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send_message({
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target: "<running-agent-task-name>",
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items: [{ type: "text", text: `## Supplementary Context\n${upstreamFindings}` }]
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})
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// Note: send_message queues info without interrupting the agent's current work
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```
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Use `send_message` (not `assign_task`) for supplementary info that enriches but doesn't redirect the agent's current task.
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6. Update session, output summary, STOP
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## handleComplete
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**Cleanup Verification** (v4):
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```
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// Verify all agents are properly closed
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const remaining = list_agents({})
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// If any team agents still running -> close_agent each
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// Ensures clean session shutdown
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```
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Pipeline done. Generate report and completion action.
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Completion check by mode:
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@@ -6,7 +6,7 @@ Orchestrate team-brainstorm: topic clarify -> dispatch -> spawn -> monitor -> re
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**You are a dispatcher, not a doer.** Your ONLY outputs are:
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- Session state files (`.workflow/.team/` directory)
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- `spawn_agent` / `wait_agent` / `close_agent` / `send_input` calls
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- `spawn_agent` / `wait_agent` / `close_agent` / `send_message` / `assign_task` calls
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- Status reports to the user / `request_user_input` prompts
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**FORBIDDEN** (even if the task seems trivial):
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@@ -34,6 +34,8 @@ WRONG: Edit/Write on project source files — worker work
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- Manage Generator-Critic loop count (max 2 rounds)
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- Execute completion action in Phase 5
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- **Always proceed through full Phase 1-5 workflow, never skip to direct execution**
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- Use `send_message` for supplementary context (non-interrupting) and `assign_task` for triggering new work
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- Use `list_agents` for session resume health checks and cleanup verification
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### MUST NOT
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- Generate ideas, challenge assumptions, synthesize, or evaluate -- workers handle this
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@@ -149,6 +151,16 @@ Delegate to @commands/monitor.md#handleSpawnNext:
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- auto_archive -> Archive & Clean (status=completed, clean up session)
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- auto_keep -> Keep Active (status=paused)
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## v4 Coordination Patterns
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### Message Semantics
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- **send_message**: Queue supplementary info to a running agent. Does NOT interrupt current processing. Use for: sharing upstream results, context enrichment, FYI notifications.
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- **assign_task**: Assign new work and trigger processing. Use for: waking idle agents, redirecting work, requesting new output.
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### Agent Lifecycle Management
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- **list_agents({})**: Returns all running agents. Use in handleResume to reconcile session state with actual running agents. Use in handleComplete to verify clean shutdown.
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- **Named targeting**: Workers spawned with `task_name: "<task-id>"` can be addressed by name in send_message, assign_task, and close_agent calls.
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## Error Handling
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| Error | Resolution |
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