maestro-help
Maestro Flow 命令帮助系统。搜索命令、浏览技能、工作流推荐、新手引导。Triggers on "maestro-help", "帮助", "命令", "怎么用", "skill", "workflow", "maestro 怎么用".
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".
Claude Code
$ npx -y skills add catlog22/maestro-flow --skill team-arch-opt --agent claude-code
Codex
$ npx skills add catlog22/maestro-flow --skill team-arch-opt -a codex -y
Cursor
$ npx skills add catlog22/maestro-flow --skill team-arch-opt -a cursor -y
Gemini CLI
$ npx skills add catlog22/maestro-flow --skill team-arch-opt -a gemini-cli -y
GitHub Copilot
$ npx skills add catlog22/maestro-flow --skill team-arch-opt -a github-copilot -y
OpenCode
$ npx skills add catlog22/maestro-flow --skill team-arch-opt -a opencode -y
Windsurf
$ npx skills add catlog22/maestro-flow --skill team-arch-opt -a windsurf -y
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>
Orchestrate multi-agent architecture optimization: analyze codebase → design refactoring plan → implement changes → validate improvements → review code quality.
Skill(skill="team-arch-opt", args="task description")
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SKILL.md (this file) = Router
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+--------------+--------------+
| |
no --role flag --role <name>
| |
Coordinator Worker
roles/coordinator/role.md roles/<name>/role.md
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+-- analyze → dispatch → spawn workers → STOP
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+-------+-------+-------+-------+
v v v v v
[analyzer][designer][refactorer][validator][reviewer]| 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 |
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
Parse `$ARGUMENTS`:
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`.
| 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 |
{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
│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
Maestro Flow 命令帮助系统。搜索命令、浏览技能、工作流推荐、新手引导。Triggers on "maestro-help", "帮助", "命令", "怎么用", "skill", "workflow", "maestro 怎么用".
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