/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".
$ npx -y skills add catlog22/maestro-flow --skill maestro-help --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/maestro-help
Context preview
The summary Claude sees to decide when to auto-load this skill.
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".
SKILL.md
maestro-help.SKILL.mdname: maestro-help
disable-model-invocation: true
description: 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".
allowed-tools: Read, Grep, Glob, AskUserQuestion
session-mode: none
Maestro Help
Maestro Flow 命令帮助系统,提供命令搜索、技能浏览、工作流推荐、新手引导功能。
Trigger Conditions
- 关键词: "maestro-help", "帮助", "命令", "怎么用", "maestro 怎么用", "工作流", "skill", "workflow", "有哪些命令", "用什么命令"
- 场景: 询问命令用法、搜索命令、请求下一步建议、选择工作流、浏览 Skill/Agent 目录
- 斜杠: `/maestro-help`, `/maestro-help search <keyword>`, `/maestro-help skills`, `/maestro-help guide`
Architecture Overview
┌──────────────────────────────────────────────────────────────────┐
│ Maestro Help (SKILL.md) — Orchestrator │
│ → Parse intent → Route to mode → Execute phase → Present │
└────────────────────────┬─────────────────────────────────────────┘
│
┌────────────────────┼────────────────────────┐
↓ ↓ ↓
┌──────────┐ ┌──────────────┐ ┌──────────┐
│ Phase 1 │ │ Phase 2 │ │ Phase 3 │
│ Parse │─────→│ Search & │────────→│ Workflow │
│ Intent │ │ Present │ │ Guide │
└──────────┘ └──────────────┘ └──────────┘
↑ ↗ │
└──────┘ ↓
(refine search) present guideKey Design Principles
1. **Catalog 驱动**: 所有查询基于 `index/catalog.json`,不做硬编码 2. **Guide 深度链接**: 命令详情链接到 `guide/` 目录中的参考文档 3. **上下文感知**: 根据项目状态(.workflow/ 是否存在、当前 Phase)调整推荐 4. **中英双语**: 命令名英文,说明和示例中文
Data Source
Single source of truth: **[index/catalog.json](index/catalog.json)**
| Field | Purpose | |-------|---------| | `commands[]` | 64 个 slash 命令,含分类和描述 | | `skills[]` | 23 个 Skill(含 10 个选装 scholar-*,标 `optional: true`),含分类和描述 | | `agents[]` | 24 个 Agent,含分类和描述 | | `cli_commands[]` | 21 个终端命令 | | `guide_files[]` | 17 个 Guide 文档索引(planned,尚未创建) | | `essential_commands[]` | 10 个核心命令(新手用) | | `workflows` | 主干管线、Companion 轻量入口、Issue 闭环、初始化路径 |
Operation Modes
Mode 1: Command Search
**Triggers**: "搜索命令", "find command", "search", 命令名关键词
**Process**: 1. Read `Ref: phases/01-parse-intent.md` — 解析搜索意图 2. Query `catalog.json` commands[] + cli_commands[] 3. Filter by name, description, category 4. Present top 5 相关结果,含命令名、描述、分类
Mode 2: Command Documentation
**Triggers**: "怎么用", "how to use", "详情", 具体命令名
**Process**: 1. Locate command in `catalog.json` 2. Read source file via `source` path(从 catalog 相对路径) 3. 若有对应 guide 文档,读取并提取相关段落 4. 提供上下文相关的用法示例
Mode 3: Smart Recommendations
**Triggers**: "下一步", "what's next", "推荐", "继续"
**Process**: 1. 检测当前项目状态(.workflow/state.json) 2. 根据 workflows 配置推荐后续命令 3. Explain WHY 每个推荐适合当前状态
Mode 4: Workflow Guide
**Triggers**: "工作流", "workflow", "怎么开始", "用什么流程"
**Process**: 1. Read `Ref: phases/03-workflow-guide.md` 2. 分析用户任务类型和复杂度 3. 推荐匹配的工作流(主干管线/Companion 轻量入口/Issue 闭环) 4. 给出具体命令序列
Mode 5: Beginner Onboarding
**Triggers**: "新手", "getting started", "常用命令", "入门"
**Process**: 1. Query `catalog.json` essential_commands[] 2. 逐个展示核心命令的简要说明 3. 引导用户完成首次项目初始化
Mode 6: Skill & Agent Browsing
**Triggers**: "skill", "agent", "技能", "有哪些 skill", "团队"
**Process**: 1. Read `Ref: phases/02-search-present.md` 2. Query `catalog.json` skills[] 或 agents[] 3. Filter by category 4. 呈现分类列表,含描述
Mode 7: CLI Command Reference
**Triggers**: "终端命令", "CLI", "maestro 命令", "terminal"
**Process**: 1. Query `catalog.json` cli_commands[] 2. 按分类分组呈现 3. 含别名和常用选项
Execution Flow
Input: $ARGUMENTS (free text)
Phase 1: Parse Intent
└─ Ref: phases/01-parse-intent.md
├─ 分析关键词确定 operation mode
├─ 提取搜索词 / 命令名 / 分类过滤
└─ Output: { mode, query, category?, context? }
Phase 2: Search & Present (Mode 1/2/3/6/7)
└─ Ref: phases/02-search-present.md
├─ 查询 catalog.json
├─ 按模式过滤和排序
├─ 读取 source 文件(Mode 2)
└─ Output: 格式化结果
Phase 3: Workflow Guide (Mode 4/5)
└─ Ref: phases/03-workflow-guide.md
├─ 检测项目状态
├─ 匹配工作流模板
├─ 生成推荐命令序列
└─ Output: 引导信息**Phase Reference Documents** (read on-demand):
| Phase | Document | Purpose | |-------|----------|---------| | 1 | [phases/01-parse-intent.md](phases/01-parse-intent.md) | 意图解析和模式路由 | | 2 | [phases/02-search-present.md](phases/02-search-present.md) | 搜索和呈现 | | 3 | [phases/03-workflow-guide.md](phases/03-workflow-guide.md) | 工作流推荐和引导 |
Input Processing
$ARGUMENTS → Parse:
├─ "search <keyword>" → Mode 1: Command Search
├─ 命令名 (如 "analyze") → Mode 2: Documentation
├─ "下一步" / "next" → Mode 3: Smart Recommendations
├─ "工作流" / "workflow" → Mode 4: Workflow Guide
├─ "新手" / "入门" → Mode 5: Beginner Onboarding
├─ "skill" / "agent" → Mode 6: Skill & Agent Browsing
├─ "CLI" / "终端" → Mode 7: CLI Reference
├─ 空参数 → Mode 5: Beginner Onboarding
└─ 其他自由文本 → Mode 1: Command Search (fuzzy)
Command Catalog Quick Reference
上游起源 + 核心 (core)
> 裸名称为 first-tier step:经 `/maestro "<意图>"` 自动路由,或 `maestro run prepare <step>` + `maestro run create <step> ...` 直接执行;`/` 前缀为独立命令。
| 命令 | 用途 | |------|------| | `/maestro` | 智能协调器,自动路由 | | `/maestro-init` | 项目初始化 | | `brainstorm` | 头脑风暴 — 发散探索,多角色创意 | | `blueprint` | 正式规格文档化 — 7-phase 收敛规格链 | | `roadmap` | 路线图编排 — 消费上游 context,纯 Milestone > Phase 分解 | | `/maestro-companion` | 轻量任务直接执行 | | `/maestro-overlay` | Overlay 管理 — 自然语言创建,或 `--amend` 从信号自动生成修正补丁 | | `grill` | 压力测试 — 对计划或需求进行代码库现实性压力测试 | | `/maestro-next` | 智能导航 — 检测状态并推荐下一步最优命令 | | `/maestro-ralph --engine swarm` | Swarm 并行加速器 — 多 agent 并发执行 | | `/maestro-ralph --engine universal` | 动态对抗工作流生成器 |
理解层 + 执行管线 (pipeline)
| 命令 | 用途 | |------|------| | `analyze` | 双层分析 — 宏观(文本参数)探索影响面 / 微观(数字参数)Phase 级深入 | | `plan` | 任务规划 — 支持 `--from analyze:ANL-xxx` 直达 | | `execute` | 任务执行 |
质量管线 (quality)
| 命令 | 用途 | |------|
Read more
name: maestro-help disable-model-invocation: true description: 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". allowed-tools: Read, Grep, Glob, AskUserQuestion session-mode: none
Maestro Help
Maestro Flow 命令帮助系统,提供命令搜索、技能浏览、工作流推荐、新手引导功能。
Trigger Conditions
- 关键词: "maestro-help", "帮助", "命令", "怎么用", "maestro 怎么用", "工作流", "skill", "workflow", "有哪些命令", "用什么命令"
- 场景: 询问命令用法、搜索命令、请求下一步建议、选择工作流、浏览 Skill/Agent 目录
- 斜杠: `/maestro-help`, `/maestro-help search <keyword>`, `/maestro-help skills`, `/maestro-help guide`
Architecture Overview
┌──────────────────────────────────────────────────────────────────┐
│ Maestro Help (SKILL.md) — Orchestrator │
│ → Parse intent → Route to mode → Execute phase → Present │
└────────────────────────┬─────────────────────────────────────────┘
│
┌────────────────────┼────────────────────────┐
↓ ↓ ↓
┌──────────┐ ┌──────────────┐ ┌──────────┐
│ Phase 1 │ │ Phase 2 │ │ Phase 3 │
│ Parse │─────→│ Search & │────────→│ Workflow │
│ Intent │ │ Present │ │ Guide │
└──────────┘ └──────────────┘ └──────────┘
↑ ↗ │
└──────┘ ↓
(refine search) present guideKey Design Principles
1. **Catalog 驱动**: 所有查询基于 `index/catalog.json`,不做硬编码 2. **Guide 深度链接**: 命令详情链接到 `guide/` 目录中的参考文档 3. **上下文感知**: 根据项目状态(.workflow/ 是否存在、当前 Phase)调整推荐 4. **中英双语**: 命令名英文,说明和示例中文
Data Source
Single source of truth: **[index/catalog.json](index/catalog.json)**
| Field | Purpose | |-------|---------| | `commands[]` | 64 个 slash 命令,含分类和描述 | | `skills[]` | 23 个 Skill(含 10 个选装 scholar-*,标 `optional: true`),含分类和描述 | | `agents[]` | 24 个 Agent,含分类和描述 | | `cli_commands[]` | 21 个终端命令 | | `guide_files[]` | 17 个 Guide 文档索引(planned,尚未创建) | | `essential_commands[]` | 10 个核心命令(新手用) | | `workflows` | 主干管线、Companion 轻量入口、Issue 闭环、初始化路径 |
Operation Modes
Mode 1: Command Search
**Triggers**: "搜索命令", "find command", "search", 命令名关键词
**Process**: 1. Read `Ref: phases/01-parse-intent.md` — 解析搜索意图 2. Query `catalog.json` commands[] + cli_commands[] 3. Filter by name, description, category 4. Present top 5 相关结果,含命令名、描述、分类
Mode 2: Command Documentation
**Triggers**: "怎么用", "how to use", "详情", 具体命令名
**Process**: 1. Locate command in `catalog.json` 2. Read source file via `source` path(从 catalog 相对路径) 3. 若有对应 guide 文档,读取并提取相关段落 4. 提供上下文相关的用法示例
Mode 3: Smart Recommendations
**Triggers**: "下一步", "what's next", "推荐", "继续"
**Process**: 1. 检测当前项目状态(.workflow/state.json) 2. 根据 workflows 配置推荐后续命令 3. Explain WHY 每个推荐适合当前状态
Mode 4: Workflow Guide
**Triggers**: "工作流", "workflow", "怎么开始", "用什么流程"
**Process**: 1. Read `Ref: phases/03-workflow-guide.md` 2. 分析用户任务类型和复杂度 3. 推荐匹配的工作流(主干管线/Companion 轻量入口/Issue 闭环) 4. 给出具体命令序列
Mode 5: Beginner Onboarding
**Triggers**: "新手", "getting started", "常用命令", "入门"
**Process**: 1. Query `catalog.json` essential_commands[] 2. 逐个展示核心命令的简要说明 3. 引导用户完成首次项目初始化
Mode 6: Skill & Agent Browsing
**Triggers**: "skill", "agent", "技能", "有哪些 skill", "团队"
**Process**: 1. Read `Ref: phases/02-search-present.md` 2. Query `catalog.json` skills[] 或 agents[] 3. Filter by category 4. 呈现分类列表,含描述
Mode 7: CLI Command Reference
**Triggers**: "终端命令", "CLI", "maestro 命令", "terminal"
**Process**: 1. Query `catalog.json` cli_commands[] 2. 按分类分组呈现 3. 含别名和常用选项
Execution Flow
Input: $ARGUMENTS (free text)
Phase 1: Parse Intent
└─ Ref: phases/01-parse-intent.md
├─ 分析关键词确定 operation mode
├─ 提取搜索词 / 命令名 / 分类过滤
└─ Output: { mode, query, category?, context? }
Phase 2: Search & Present (Mode 1/2/3/6/7)
└─ Ref: phases/02-search-present.md
├─ 查询 catalog.json
├─ 按模式过滤和排序
├─ 读取 source 文件(Mode 2)
└─ Output: 格式化结果
Phase 3: Workflow Guide (Mode 4/5)
└─ Ref: phases/03-workflow-guide.md
├─ 检测项目状态
├─ 匹配工作流模板
├─ 生成推荐命令序列
└─ Output: 引导信息**Phase Reference Documents** (read on-demand):
| Phase | Document | Purpose | |-------|----------|---------| | 1 | [phases/01-parse-intent.md](phases/01-parse-intent.md) | 意图解析和模式路由 | | 2 | [phases/02-search-present.md](phases/02-search-present.md) | 搜索和呈现 | | 3 | [phases/03-workflow-guide.md](phases/03-workflow-guide.md) | 工作流推荐和引导 |
Input Processing
$ARGUMENTS → Parse: ├─ "search <keyword>" → Mode 1: Command Search ├─ 命令名 (如 "analyze") → Mode 2: Documentation ├─ "下一步" / "next" → Mode 3: Smart Recommendations ├─ "工作流" / "workflow" → Mode 4: Workflow Guide ├─ "新手" / "入门" → Mode 5: Beginner Onboarding ├─ "skill" / "agent" → Mode 6: Skill & Agent Browsing ├─ "CLI" / "终端" → Mode 7: CLI Reference ├─ 空参数 → Mode 5: Beginner Onboarding └─ 其他自由文本 → Mode 1: Command Search (fuzzy)
Command Catalog Quick Reference
上游起源 + 核心 (core)
> 裸名称为 first-tier step:经 `/maestro "<意图>"` 自动路由,或 `maestro run prepare <step>` + `maestro run create <step> ...` 直接执行;`/` 前缀为独立命令。
| 命令 | 用途 | |------|------| | `/maestro` | 智能协调器,自动路由 | | `/maestro-init` | 项目初始化 | | `brainstorm` | 头脑风暴 — 发散探索,多角色创意 | | `blueprint` | 正式规格文档化 — 7-phase 收敛规格链 | | `roadmap` | 路线图编排 — 消费上游 context,纯 Milestone > Phase 分解 | | `/maestro-companion` | 轻量任务直接执行 | | `/maestro-overlay` | Overlay 管理 — 自然语言创建,或 `--amend` 从信号自动生成修正补丁 | | `grill` | 压力测试 — 对计划或需求进行代码库现实性压力测试 | | `/maestro-next` | 智能导航 — 检测状态并推荐下一步最优命令 | | `/maestro-ralph --engine swarm` | Swarm 并行加速器 — 多 agent 并发执行 | | `/maestro-ralph --engine universal` | 动态对抗工作流生成器 |
理解层 + 执行管线 (pipeline)
| 命令 | 用途 | |------|------| | `analyze` | 双层分析 — 宏观(文本参数)探索影响面 / 微观(数字参数)Phase 级深入 | | `plan` | 任务规划 — 支持 `--from analyze:ANL-xxx` 直达 | | `execute` | 任务执行 |
质量管线 (quality)
| 命令 | 用途 | |------|
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
Repo: catlog22/maestro-flow
Other skills on maestro-flow.
- /skill-generator
Meta-skill for creating new Claude Code skills with configurable execution modes. Supports sequential (fixed order) and autonomous (stateless) phase patterns. Use for skill scaffolding, skill creation, or building new workflows. Triggers on "create skill", "new skill", "skill
Open skill - /skill-iter-tune
Iterative skill tuning via execute-evaluate-improve feedback loop. Uses maestro delegate Claude to execute skill, Agy to evaluate quality, and Agent to apply improvements. Iterates until quality threshold or max iterations. Triggers on "skill iter tune", "iterative skill
Open skill - /skill-simplify
SKILL.md simplification with functional integrity verification. Analyze redundancy, optimize content, check no functionality lost. Triggers on "simplify skill", "optimize skill", "skill-simplify".
Open skill - /skill-tuning
Universal skill diagnosis and optimization tool. Detect and fix skill execution issues including context explosion, long-tail forgetting, data flow disruption, and agent coordination failures. Supports Agy CLI for deep analysis. Triggers on "skill tuning", "tune skill", "skill
Open skill - /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".
Open skill - /team-coordinate
Universal team coordination skill with dynamic role generation. Uses team-worker agent architecture with role-spec files. Only coordinator is built-in -- all worker roles are generated at runtime as role-specs and spawned via team-worker agent. Beat/cadence model for
Open skill

