Provides an interactive help system for finding commands, skills, and guided workflows within Maestro Flow.

Install

mkdir -p .claude/skills/maestro-help && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/18888" && unzip -o skill.zip -d .claude/skills/maestro-help && rm skill.zip

Installs to .claude/skills/maestro-help

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

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
52 charsno explicit “when” trigger
Beginner

Key capabilities

  • Search and browse Maestro Flow commands
  • Provide workflow recommendations
  • Guide users through project initialization
  • Access CLI command references

How it works

The skill parses user input to determine the operation mode, then queries a centralized catalog.json to provide relevant command details, workflow steps, or onboarding information.

Inputs & outputs

You give it
User intent or keyword
You get back
Command documentation or workflow guide

When to use maestro-help

  • Searching for specific commands
  • Browsing available skills
  • Getting help on how to use Maestro Flow
  • Requesting workflow recommendations

About this skill

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 guide

Key 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

FieldPurpose
commands[]64 个 slash 命令,含分类和描述
skills[]44 个 Skill,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):

PhaseDocumentPurpose
1phases/01-parse-intent.md意图解析和模式路由
2phases/02-search-present.md搜索和呈现
3phases/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 --platform codex <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-overlayOverlay 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 swarmSwarm 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
review代码审查
auto-test自动测试
test业务测试
debug质量调试
retrospective复盘

管理命令 (manage)

命令用途
/maestro-issueIssue 管理(意图驱动:报告/列出/关闭/关联)
/maestro-issue discoverIssue 发现
/maestro-knowledge知识存储管理(意图驱动:audit/harvest/wiki/extractors/domain)
/maestro-knowhowKnowHow 沉淀(意图驱动:按类型捕获可复用知识)

Odyssey 长周期循环 (odyssey)

单入口 /maestro-odyssey <intent> --mode <name>--mode 可省略,从 intent 关键词自动识别):

模式用途
--mode debug长周期调试 — 考古、诊断、修复、泛化
--mode improve长周期代码改进 — 多维审计、深度诊断、定向修复
--mode review深度审查修复循环
--mode planex需求驱动迭代 — 计划/执行/验证/修复循环
--mode ui长周期 UI 优化 — 视觉调研、多维审计、修复

Workflow Mapping

层级模型

Roadmap > Milestone > Phase > Task
  • Roadmap = 项目级常驻规划文档
  • Milestone = 可独立交付的版本节点(v0.1.0-rc1, v0.2.0)
  • Phase = Milestone 内的同步屏障执行阶段
  • Task = Phase 内的具体代码修改单元(wave DAG 管理并行)

命令拓扑

上游起源层(并列,可选)
  brainstorm(发散/轻量)  |  blueprint(收敛/重型)  |  grill(压力测试)

理解层
  analyze 双层: 宏观(文本参数) → scope_verdict | 微观(数字参数) → Phase 级决策

编排层(可选)
  roadmap — 消费上游 context,纯 Milestone > Phase 分解

执行层
  plan → execute

Odyssey 长周期循环(独立路径)
  maestro-odyssey --mode debug|improve|review|planex|ui

自适应引擎(高级)
  ralph → 自运行决策循环
  swarm-workflow / universal-workflow → 多 agent 并行执行

合法路径

路径场景命令序列
Path A完整新项目brainstormblueprint(可选) → analyze "topic"roadmapanalyze 1plan 1execute
Path B旧项目大功能analyze "feature X"roadmapanalyze 1plan 1execute
Path C中等功能analyze "feature X"plan --from analyze:ANL-xxxexecute
Path D小改动plan "fix auth bug"execute
Path E纯规格文档blueprint "project idea" → (供人阅读)
Path F纯探索brainstorm "idea" → (供人决策)
轻量修复已知简单问题/maestro-companion "修复描述"
Bug 追踪Issue 闭环/maestro-issue discover/maestro-issue create → analyze/plan/execute → close
全自动/maestro 入口/maestro -y "任务描述"
代码审查质量管线reviewauto-testtest
多 CLI 交叉验证Collab stepcollab "需求描述"
长周期调试Odyssey 深度循环/maestro-odyssey "问题描述" --mode debug
长周期改进Odyssey 深度循环/maestro-odyssey "改进目标" --mode improve
需求迭代Odyssey 深度循环/maestro-odyssey "需求描述" --mode planex

注:Path A/B 中 analyze 1 / plan 1 的数字 1milestone 编号(第 1 个里程碑),下游以 milestone 为入口。

Core Rules

  1. Catalog First: 先查 catalog.json,再按需读 source 文件
  2. Guide 链接: 对深层问题引用 guide/ 文档,告知用户具体文件名
  3. 上下文感知: 检查 .workflow/ 存在性和 state.json 当前状态
  4. 精确匹配: 搜索时支持命令名(不含前缀)、分类名、关键词
  5. 不执行命令: 本 skill 只提供信息和推荐,不执行任何 maestro 命令

Error Handling

场景处理
命令未找到模糊搜索最近匹配,提示正确命令名
项目未初始化推荐先运行 /maestro-init
Guide 文件不存在跳过,仅提供 catalog 中的描述
参数为空默认进入 Beginner Onboarding 模式

Related Resources

  • Guide 目录: guide/ — 17 个专题指南文档
  • Delegate 参考: ~/.maestro/workflows/delegate-usage.md
  • Coding 哲学: ~/.maestro/workflows/coding-philosophy.md
  • CLI 工具配置: ~/.maestro/cli-tools.json

Statistics

  • Slash 命令: 64 个(13 个分类:core/pipeline/milestone/manage/quality/spec/learn/worktree/team/ralph/ui/tools/odyssey)
  • CLI 命令: 21 个
  • Skills: 44 个(5 个分类:meta/team/knowledge/quality/scholar)
  • Agents: 24 个(4 个分类:workflow/team/cli/ui)
  • Guide 文档: 17 个(planned,尚未创建)
  • 工作流路径: 7 个合法路径 (Path A-G) + 4 个辅助流程

Limitations

  • Does not execute any Maestro commands
  • Guide files are referenced but may not exist

How it compares

It provides context-aware recommendations based on the current project state instead of just returning static documentation.

Compared to similar skills

maestro-help side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
maestro-help (this skill)09dNo flagsBeginner
developer-growth-analysis78moNo flagsBeginner
youtube-digest26moReviewBeginner
agent-challenges15moNo flagsIntermediate

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