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".

Quality

48%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

Securityby

Passed

No known issues

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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> -> Read roles/<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 interrupting
assign_task({ target: "REFACTOR-001", items: [...] }) -- assign fix task after review feedback
close_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

Repository: catlog22/Claude-Code-Workflow
Commit: 0f8e801

Last updated: 4 days ago
Created: 4 days ago

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