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/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".

From plugin
maestro-flow
57524 skills29 agents18 commands3 MCP

Claude Code

$ npx -y skills add catlog22/maestro-flow --skill team-arch-opt --agent claude-code

SKILL.md

team-arch-opt.SKILL.md
name: team-arch-opt
disable-model-invocation: true
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".
allowed-tools: Agent, TaskCreate, TaskList, TaskGet, TaskUpdate, TeamCreate, TeamDelete, SendMessage, AskUserQuestion, Read, Write, Edit, Bash, Glob, Grep, mcp__maestro__team_msg
session-mode: run
contract:
  contract_version: 2.1
  consumes: []
  produces:
    - {path: outputs/branches, kind: architecture-branches-collection, schema: architecture-branches-collection/1.0, role: attachment, required: false}
    - {path: outputs/pipelines, kind: architecture-pipelines-collection, schema: architecture-pipelines-collection/1.0, role: attachment, required: false}
  gates: {entry: [], exit: []}

<required_reading> @~/.maestro/workflows/run-mode-lite.md </required_reading>

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](roles/coordinator/role.md) | — | — | | analyzer | [roles/analyzer/role.md](roles/analyzer/role.md) | ANALYZE-* | false | | designer | [roles/designer/role.md](roles/designer/role.md) | DESIGN-* | false | | refactorer | [roles/refactorer/role.md](roles/refactorer/role.md) | REFACTOR-*, FIX-* | true | | validator | [roles/validator/role.md](roles/validator/role.md) | VALIDATE-* | false | | reviewer | [roles/reviewer/role.md](roles/reviewer/role.md) | REVIEW-*, QUALITY-* | false |

Pre-load (coordinator, before dispatch)

1. **Codebase docs**: If `.workflow/codebase/ARCHITECTURE.md` exists, read for module boundaries 2. **Specs (arch)**: `maestro load --type spec --category arch` — load arch constraints as shared context 3. **Specs (coding)**: `maestro load --type spec --category coding` — load coding constraints as shared context 4. **Wiki knowledge**: `maestro search "architecture optimization refactor" --json` — top 5 entries as prior context 5. All optional — proceed without if unavailable

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

Shared Constants

  • **Session prefix**: `TAO`
  • **Session path**: `{run_dir}/work/team/`
  • **CLI tools**: `maestro delegate --mode analysis` (read-only), `maestro delegate --mode write` (modifications)
  • **Message bus**: `mcp__maestro__team_msg(session_id=<run-id>, ...)`

Worker Spawn Template

Coordinator spawns workers using this template:

Agent({
  subagent_type: "team-worker",
  description: "Spawn <role> worker",
  team_name: "arch-opt",
  name: "<role>",
  run_in_background: true,
  prompt: `## Role Assignment
role: <role>
role_spec: <skill_root>/roles/<role>/role.md
session: {run_dir}/work/team
session_id: <run-id>
team_name: arch-opt
requirement: <task-description>
inner_loop: <true|false>

## Progress Milestones
session_id: <run-id>
Report progress via team_msg at natural phase boundaries (context loaded -> core work done -> verification).
Report blockers immediately via team_msg type="blocker".
Report completion via team_msg type="task_complete" after final SendMessage.

Read role_spec file (@<skill_root>/roles/<role>/role.md) to load Phase 2-4 domain instructions.
Execute built-in Phase 1 (task discovery) -> role Phase 2-4 -> built-in Phase 5 (report).`
})

**Inner Loop roles** (refactorer): Set `inner_loop` dynamically — `true` for single mode, `false` for fan-out/independent (parallel branches). **Single-task roles** (analyzer, designer, validator, reviewer): Set `inner_loop: false`.

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

{run_dir}/work/team/
├── team-session.json                    # Session metadata + status + parallel_mode
├── task-analysis.json              # Coordinator analyze output
├── {run_dir}/outputs/              # Run deliverables (via maestro run)
│   ├── 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
│
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@catlog22
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Intent-driven workflow orchestration for multi-agent AI development — adaptive lifecycle engine, self-reinforcing knowledge graph, and visual dashboard for Claude Code, Gemini, Codex & more

57524 skills29 agents3 MCP
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Questions about team-arch-opt.

Which coding agents can use team-arch-opt?
team-arch-opt installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.