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>
9.4 KiB
name, description, allowed-tools
| name | description | allowed-tools |
|---|---|---|
| team-arch-opt | Unified team skill for architecture optimization. Uses team-worker agent architecture with role directories for domain logic. Coordinator orchestrates pipeline, workers are team-worker agents. Triggers on "team arch-opt". | 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(*) |
Team Architecture Optimization
Orchestrate multi-agent architecture optimization: analyze codebase -> design refactoring plan -> implement changes -> validate improvements -> review code quality.
Architecture
Skill(skill="team-arch-opt", args="task description")
|
SKILL.md (this file) = Router
|
+--------------+--------------+
| |
no --role flag --role <name>
| |
Coordinator Worker
roles/coordinator/role.md roles/<name>/role.md
|
+-- analyze -> dispatch -> spawn workers -> STOP
|
+-------+-------+-------+-------+
v v v v v
[analyzer][designer][refactorer][validator][reviewer]
Role Registry
| Role | Path | Prefix | Inner Loop |
|---|---|---|---|
| coordinator | roles/coordinator/role.md | — | — |
| analyzer | roles/analyzer/role.md | ANALYZE-* | false |
| designer | roles/designer/role.md | DESIGN-* | false |
| refactorer | roles/refactorer/role.md | REFACTOR-, FIX- | true |
| validator | roles/validator/role.md | VALIDATE-* | false |
| reviewer | roles/reviewer/role.md | REVIEW-, QUALITY- | false |
Role Router
Parse $ARGUMENTS:
- Has
--role <name>-> Readroles/<name>/role.md, execute Phase 2-4 - No
--role->roles/coordinator/role.md, execute entry router
Delegation Lock
Coordinator is a PURE ORCHESTRATOR. It coordinates, it does NOT do.
Before calling ANY tool, apply this check:
| Tool Call | Verdict | Reason |
|---|---|---|
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 |
Read on roles/, commands/, specs/ |
ALLOWED | Loading own instructions |
Read/Grep/Glob on project source code |
BLOCKED | Delegate to worker |
Edit on any file outside .workflow/ |
BLOCKED | Delegate to worker |
Bash("ccw cli ...") |
BLOCKED | Only workers call CLI |
Bash running build/test/lint commands |
BLOCKED | Delegate to worker |
If a tool call is BLOCKED: STOP. Create a task, spawn a worker.
No exceptions for "simple" tasks. Even a single-file read-and-report MUST go through spawn_agent.
Shared Constants
- Session prefix:
TAO - Session path:
.workflow/.team/TAO-<slug>-<date>/ - CLI tools:
ccw cli --mode analysis(read-only),ccw cli --mode write(modifications) - Message bus:
mcp__ccw-tools__team_msg(session_id=<session-id>, ...)
Worker Spawn Template
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>
role_spec: <skill_root>/roles/<role>/role.md
session: <session-folder>
session_id: <session-id>
requirement: <task-description>
inner_loop: <true|false>
Read role_spec file (<skill_root>/roles/<role>/role.md) to load Phase 2-4 domain instructions.` },
{ type: "text", text: `## Task Context
task_id: <task-id>
title: <task-title>
description: <task-description>
pipeline_phase: <pipeline-phase>` },
{ type: "text", text: `## Upstream Context
<prev_context>` }
]
})
After spawning, use wait_agent({ targets: [...], timeout_ms: 900000 }) to collect results, then close_agent({ target: <name> }) each worker.
Inner Loop roles (refactorer): Set inner_loop: true.
Single-task roles (analyzer, designer, validator, reviewer): Set inner_loop: false.
Model Selection Guide
Architecture optimization is reasoning-intensive. All analysis and design roles need high reasoning effort.
| Role | reasoning_effort | Rationale |
|---|---|---|
| analyzer | high | Deep structural analysis of codebase architecture |
| designer | high | Architecture redesign requires careful reasoning about tradeoffs |
| refactorer | high | Code transformations must preserve correctness |
| validator | high | Validation must thoroughly check refactoring correctness |
| reviewer | high | Code quality review demands deep understanding |
Override in spawn_agent when needed:
spawn_agent({
agent_type: "team_worker",
task_name: "<task-id>",
fork_context: false,
reasoning_effort: "high",
items: [...]
})
User Commands
| Command | Action |
|---|---|
check / status |
View execution status graph (branch-grouped), no advancement |
resume / continue |
Check worker states, advance next step |
revise <TASK-ID> [feedback] |
Revise specific task + cascade downstream |
feedback <text> |
Analyze feedback impact, create targeted revision chain |
recheck |
Re-run quality check |
improve [dimension] |
Auto-improve weakest dimension |
Session Directory
.workflow/.team/TAO-<slug>-<date>/
├── session.json # Session metadata + status + parallel_mode
├── task-analysis.json # Coordinator analyze output
├── artifacts/
│ ├── architecture-baseline.json # Analyzer: pre-refactoring metrics
│ ├── architecture-report.md # Analyzer: ranked structural issue findings
│ ├── refactoring-plan.md # Designer: prioritized refactoring plan
│ ├── validation-results.json # Validator: post-refactoring validation
│ ├── review-report.md # Reviewer: code review findings
│ ├── aggregate-results.json # Fan-out/independent: aggregated results
│ ├── branches/ # Fan-out mode branch artifacts
│ │ └── B{NN}/
│ │ ├── refactoring-detail.md
│ │ ├── validation-results.json
│ │ └── review-report.md
│ └── pipelines/ # Independent mode pipeline artifacts
│ └── {P}/
│ └── ...
├── explorations/
│ ├── cache-index.json # Shared explore cache
│ └── <hash>.md
├── wisdom/
│ └── patterns.md # Discovered patterns and conventions
├── discussions/
│ ├── DISCUSS-REFACTOR.md
│ └── DISCUSS-REVIEW.md
└── .msg/
├── messages.jsonl # Message bus log
└── meta.json # Session state + cross-role state
Specs Reference
- specs/pipelines.md — Pipeline definitions, task registry, parallel modes
v4 Agent Coordination
Message Semantics
| Intent | API | Example |
|---|---|---|
| Queue supplementary info (don't interrupt) | send_message |
Send codebase patterns to running analyzer |
| Assign new work / trigger processing | assign_task |
Assign fix task to refactorer after review 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 session.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: "ANALYZE-001", items: [...] })-- queue analysis context without interruptingassign_task({ target: "REFACTOR-001", items: [...] })-- assign fix task after review feedbackclose_agent({ target: "VALIDATE-001" })-- cleanup by name
Merged Exploration Pattern
For architecture analysis, analyzer may need broad codebase exploration. Consider spawning analyzer with fork_context: true when deep structural analysis of interconnected modules is needed:
spawn_agent({
agent_type: "team_worker",
task_name: "ANALYZE-001",
fork_context: true, // Share coordinator's codebase context
reasoning_effort: "high",
items: [...]
})
Error Handling
| Scenario | Resolution |
|---|---|
| Unknown command | Error with available command list |
| Role not found | Error with role registry |
| CLI tool fails | Worker fallback to direct implementation |
| Fast-advance conflict | Coordinator reconciles on next callback |
| Completion action fails | Default to Keep Active |
| consensus_blocked HIGH | Coordinator creates revision task or pauses pipeline |
| Branch fix cycle >= 3 | Escalate only that branch to user, others continue |
| max_branches exceeded | Coordinator truncates to top N at CP-2.5 |