Agent-Skills.md

Agent Skills: Team Architecture Optimization

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".

UncategorizedID: catlog22/claude-code-workflow/team-arch-opt

Repository

catlog22/claude-code-workflow
catlog22License: MIT
1,610136

Install this agent skill to your local

pnpm dlx add-skill https://github.com/catlog22/Claude-Code-Workflow/tree/HEAD/.codex/skills/team-arch-opt

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.codex/skills/team-arch-opt/SKILL.md

Skill Metadata

Name
team-arch-opt
Description
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".

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

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 |