云舒的 Skills 搭子们 / Yunshu's Claude Code Skills
中文
📖 简介
这是一个精心打造的 Claude Code Skills 集合,旨在提升软件开发和产品管理的效率。每个 Skill 都经过实战验证,帮助你在日常工作中更加高效。
📊 Skills 总览
目前共包含 30 个 Skills,分为以下 3 大类:
💻 AI 编程(15 个)
| Skill | 说明 |
|---|---|
| PRD 文档撰写助手 | 故事驱动的需求文档撰写 |
| 新功能设计探索 | 从模糊想法到可交付设计稿 |
| 需求变更工作流 | 标准化需求变更流程 |
| 需求池管理 | 需求收集、整理、筛选 |
| 版本规划助手 | 需求拆解为渐进式版本 |
| 终局愿景探索 | 探索想法的多种终局形态 |
| 产品命名助手 | 从品牌本质推导产品名 |
| UI 样式修改助手 | 结构化 UI 样式修改流程 |
| macOS 产品设计专家 (Beta) | macOS 原生风格 HTML/CSS 设计稿 |
| PRD 自动化测试闭环 (Beta) | PRD 驱动的测试计划与自测报告 |
| PRD 测试用例一体化 (Beta) | PRD 与可执行测试用例双文档协作 |
| Issue 协作处理 | GitHub Issue 分诊与回复 |
| GitHub 项目搜索 | 搜索筛选开源项目 |
| 项目目录地图构建器 | 生成项目目录说明文档 |
| 一键推送 GitHub | 项目推送、日常更新、版本发布 |
✍️ 思考与写作(10 个)
| Skill | 说明 |
|---|---|
| 思维挖掘助手 | 引导式对话,整理零散想法 |
| Hermes 陪伴型人设生成器 | 结构化对话产出第一人称 AI 陪伴人设 |
| 写作助手 | 从思维挖掘到成稿的完整流程 |
| 系统化学习材料生成器 | 自主调研、搭体系、产出 HTML 学习材料 |
| 思考拍档 | 陪你理清局面、拆解卡点 |
| 多视角深度分析 | 多 Agent 并行分析,交叉汇总共识与分歧 |
| 输出工程 | 4 问挖掘 + 6 阶段框架,产可读性高的 HTML 长文 |
| 案例雷达 | 扫一遍生态抓"真物",输出 HTML 案例集 |
| 配图助手 | 文章内容转信息图提示词 |
| 课程构建器 | 讨论驱动的课程大纲与课件 |
💼 日常办公与效率(5 个)
| Skill | 说明 |
|---|---|
| 周报写作助手 | 梳理周报,展示工作价值 |
| 优先级判断助手 | 从混沌待办中判断优先级 |
| 记忆系统初始化 | 一键部署 AI 记忆系统 |
| 文件夹整理助手 | 扫描分类、清理冗余,整理混乱目录 |
| 复杂长程任务自主执行 (Beta) | 1-2 小时无人值守自主跑长任务 |
✨ 包含的 Skills
🎨 配图助手 (Image Assistant)
描述: 把文章/模块内容转成统一风格、少字高可读的 16:9 信息图提示词
适用场景:
- 文章需要配图但不知道怎么设计
- PPT、海报、社媒图需要统一风格
- 内容太多字,想要更趣味、更好读的视觉呈现
- 需要批量生成配图提示词
核心功能:
- 📋 需求澄清:挖掘内容、场景、受众和字数偏好
- 🗂️ 配图规划:拆分内容,定义图清单(几张图/每张讲什么)
- ✍️ 文案定稿:逐字定稿"图上写什么"(Copy Spec)
- 🎯 提示词封装:生成可复制的生图提示词,支持批量出图
- 🔄 迭代润色:根据反馈减字、换隐喻、提升可读性
触发方式:
这段内容做个图/配几张图
给我两张出图提示词
字太多不好看,帮我更趣味、更好读
/image /配图 /出图
🧠 思维挖掘助手 (Thought Mining)
描述: 通过对话帮助你把脑子里的零散想法倒出来、记录下来、整理成文章
适用场景:
- 想写文章但思路不清晰
- 有很多零散想法需要整理
- 需要从混乱的思考中提炼核心观点
核心功能:
- 📝 思维挖掘:引导式对话,帮你说出并记录想法
- 🎯 选题确定:从洞察中找到核心观点
- ✅ 观点验证:联网搜索验证理解是否正确
- ✍️ 写作辅助:逻辑检查、文字润色、金句提炼
- 🔍 最终审核:发布前的全面检查
触发方式:
我想写一篇关于 XX 的文章
帮我整理一下我的想法
/thought-mining
📋 PRD 文档撰写助手 (PRD Doc Writer)
描述: 以故事驱动的方式,帮助你撰写和迭代完善 PRD/需求文档
适用场景:
- 需要撰写产品需求文档
- 想用用户故事的方式梳理需求
- 需要用图表减少需求歧义
核心功能:
- 🗺️ 用户旅程地图:构建宏观业务流程
- 📖 故事化需求:每个功能点都是一个完整的用户故事
- 🎨 ASCII 线框图:可视化页面布局
- 📊 Mermaid 图表:流程图/状态图/时序图
- ✅ 阶段性确认:确保每一步都与你达成共识
触发方式:
帮我写 PRD
梳理需求文档
/prd-doc-writer
🎨 新功能设计探索 (Design Exploration)
描述: 新功能设计探索流程。从模糊想法产出可交付的设计参考文档,作为 PRD 阶段的输入
适用场景:
- 有模糊想法要做新功能/新模块
- 需要批量探索多种设计方案
- 需要完整覆盖页面状态(正常/异常/边界)
- 需要产出设计稿作为开发参考
核心功能:
- 📝 需求收敛:明确做什么、不做什么、边界在哪
- 🔍 技术调研:了解外部数据约束和技术可行性
- 🎨 ASCII 批量探索:一次出 5-8 个方案供选择
- 📐 HTML 设计稿:基于选定方案产出 mockup
- 📊 全状态覆盖:正常态/加载态/空态/错误态/边界情况
- 📋 交互规则表:前端开发直接对照实现
触发方式:
我想做个新功能
帮我设计一下这个模块
出个设计方案
/design-exploration
🔄 需求变更工作流 (Requirement Change Workflow)
描述: 标准化需求变更流程,避免改需求时的混乱和代码崩溃
适用场景:
- 需要修改现有功能的需求
- 改需求时经常出现意外 bug
- 需要一个可靠的变更验证流程
- 特别适合 Chrome 扩展等复杂项目
核心功能:
- 📝 需求澄清:锁定变更范围和验收标准
- 🔍 现状基线:从代码中确认当前行为
- ⚠️ 影响评估:评估风险和变更范围
- 🎯 设计方案:提出新设计并获得批准
- 🛠️ 最小化实现:小范围、局部化的代码修改
- ✅ 回归测试:固定的验证清单
- 📚 文档维护:决策日志和文档更新
触发方式:
改需求/需求变更
调整交互/改功能
/req-change-workflow
📚 课程构建器 (Lesson Builder)
描述: 通过讨论驱动的方式,帮助你快速完成课程大纲和课件
适用场景:
- 需要快速备好一节课
- 已有清晰想法,需要整理成文档
- 需要迭代现有课程大纲
- 准备培训或教学内容
核心功能:
- 💭 共创大纲:通过讨论挖掘想法,形成清晰课程框架
- 📖 课件撰写:基于大纲写出完整课件内容
- 🎯 框架优先:先确认框架再写细节,避免返工
- ⚡ 快速迭代:支持快速共创和严格确认两种模式
- 📋 最少文档:只产出需要的内容(大纲/课件/补充材料)
触发方式:
备课
做课件/准备课程
/lesson-builder
📦 需求池管理 (Backlog Manager)
描述: 需求池管理。随时抛出想法/痛点,AI 负责追问、整理、合并、归档。准备开新版本时协助筛选。痛点驱动,不做提前排期
适用场景:
- 随时记录产品想法和功能需求
- 管理零散的需求,避免遗忘
- 准备新版本时挑选要做什么
- 整理和清理过时的需求
核心功能:
- 📝 收集:追问痛点、频率、绕过方式,确认理解
- 📂 归类:检查合并可能,判断状态(可以做了/需要想想/先放着)
- 🧹 整理:定期清理过时条目,升档想清楚的条目
- 🎯 筛选:基于频率/可绕过性/ROI 分析候选需求
- ✅ 归档:标记已完成,更新依赖关系
触发方式:
我想做个功能
记个需求
整理一下需求池
下一个版本做什么
/backlog-manager
🗺️ 项目目录地图构建器 (Project Map Builder)
描述: 为指定目录范围生成或增量更新高信噪比的目录说明文档
适用场景:
- 需要生成项目目录概览
- 需要代码仓结构说明文档
- 想要更新已有的 PROJECT_MAP.md
- 需要理解项目文件夹结构
核心功能:
- 📋 智能范围确认:必须先询问要扫描的文件夹,不默认全仓扫描
- 🔍 关键文件识别:自动识别入口、配置、服务线程等关键文件
- 📝 增量更新:已有 PROJECT_MAP.md 时仅做增量更新,不全量重写
- 🎯 多目录支持:支持单目录或多目录(可合并或分别生成)
- ⚠️ 明确标注:不确定的地方显式标注"假设"或"未确认"
触发方式:
生成项目地图
更新 PROJECT_MAP
给我生成目录说明
/project-map-builder
📅 版本规划助手 (Version Planner)
描述: 将产品需求拆解成可执行的渐进式版本规划(V0.1 MVP → V1.0)
适用场景:
- 需要拆解产品版本
- 想要规划 MVP 最小可行产品
- 需要分阶段实现功能
- 不确定优先级和开发顺序
核心功能:
- 🎯 价值优先:优先解决用户最痛的点,而非技术最难的点
- 🚀 快速验证:MVP 设计为 2-3 天能跑通,避免过度设计
- 📋 明确边界:每个版本明确"做什么"和"不做什么"
- 🔄 渐进式交付:每个版本都能独立使用,不依赖后续版本
- ✅ 可测量:每个版本有清晰的验证点和完成标准
触发方式:
拆版本
版本规划
MVP怎么做
分阶段实现
/version-planner
✍️ 写作助手 (Writing Assistant)
描述: 根据观点清晰度自动选择最优写作路线,覆盖从思维挖掘到成稿的完整流程
适用场景:
- 想写文章但思路不清晰
- 需要梳理选题和核心观点
- 需要组织文章框架和逻辑
- 从零散想法到完整文章
核心功能:
- 🔍 智能诊断:快速判断观点清晰度,选择最优路线
- 💭 思维挖掘:观点模糊时,通过引导式对话倒出零散想法
- 🎯 选题确定:从洞察中提炼核心选题和灵魂句
- 📐 框架打磨:组织文章逻辑结构,确保表达清晰
- ✍️ 内容产出:根据框架写成完整文章,保持用户风格
触发方式:
我想写XX
帮我梳理选题
怎么形成框架
给我组织思路
/writing-assistant
📝 周报写作助手 (Weekly Report)
描述: 帮助用户梳理周报,按照完整逻辑展示工作价值和边界
适用场景:
- 需要整理一周的工作内容
- 想要清晰展示工作价值和成果
- 需要说明遇到的问题和挑战
- 梳理下周工作重点
核心功能:
- 📋 素材收集:引导式对话,收集本周工作内容
- 🗂️ 分类整理:根据角色灵活选择合适的模块分类
- 🔍 信息补充:追问背景、结果、价值、状态和下一步
- ✅ 讨论调整:确认表述习惯和逻辑完整性
- 📄 文档输出:生成结构清晰的周报文档
触发方式:
写周报
周报
梳理周报
整理工作
/weekly-report
🎯 优先级判断助手 (Priority Judge)
描述: 从混沌的待办事项中判断优先级,确定现在该做什么
适用场景:
- 有很多事要做,不知道从哪开始
- 想快速理清楚今天/本周该做什么
- 需要基于客观标准判断优先级
- 避免在没想清楚的事情上浪费时间
核心功能:
- 📝 收集待办:记录所有要做的事情
- 🔍 状态询问:了解每件事的清晰度和deadline
- ⚖️ 优先级判断:基于清晰度和deadline做决策
- 🎯 聚焦行动:每次只聚焦1-2件最重要的事
- 📋 文档化:生成优先级清单文档
触发方式:
我有很多事要做
帮我理一下
排个优先级
今天该做什么
我要盘一下
/priority-judge
🤝 思考拍档 (Thinking Partner)
描述: 陪你从混沌中理清局面,锁定核心问题,拆解卡点,共创解法,落地行动
适用场景:
- 面对复杂问题不知道从哪入手
- 想法很多但理不清主次
- 需要有人陪你一起想清楚
- 避免陷入细节迷失方向
核心功能:
- 📝 信息获取:引导式提问,看清全局
- 🎯 锁定核心问题:从一堆问题中找到最关键的那个
- 🔍 拆解卡点:层层追问,找到真正的根因
- 💡 共创解法:基于你的想法补充和修正
- ✅ 落地计划:把讨论结论变成可执行的行动
触发方式:
我现在很乱,帮我理一下
这事我不知道怎么办
陪我想想这个问题
/thinking-partner
🎨 UI 样式修改助手 (UI Design)
描述: UI 样式修改协作流程。通过结构化流程减少沟通偏差,避免浪费 token
适用场景:
- 需要修改页面样式、布局
- 调整间距、颜色、组件搭配
- UI 细节优化和微调
- 避免猜测式改代码
核心功能:
- 📸 截图定位:用截图确认当前状态
- 📐 现状描述:ASCII 画出当前布局
- 🎯 方案选择:提供 2-3 个可视化方案
- 🛠️ 最小改动:只改选定方案涉及的部分
- 🔄 微调迭代:执行具体的小修改
触发方式:
改一下这个页面的布局
调整这里的样式
这个间距不太对
/ui-design
🔮 终局愿景探索 (Vision Exploration)
描述: 帮你把模糊想法推演到最远的未来形态,输出 4~6 种维度完全不同的终局 HTML 原型
适用场景:
- 有个想法,想看看它最终能长成什么样
- 需要发散思维,探索一个 idea 的多种可能性
- 想在 PRD 之前先看到终局愿景
- 需要投资人级别的视觉原型
核心功能:
- 🔍 价值挖掘:反复追问"为什么",找到需求背后的核心诉求
- 🎯 动机发现:识别真实用户使用场景
- 🔄 演进推导:从最小可行版本推导自然演进路径
- 🎨 终局渲染:输出 4~6 个自包含 HTML 原型,每个代表不同维度的终局形态
- 📊 对比分析:生成演进路径图和终局对比表
触发方式:
探索一下这个想法的终局
帮我看看这个功能最终能长成什么
/vision-exploration
🏷️ 产品命名助手 (Product Naming)
描述: 通过结构化协作流程,从产品本质出发推导名字,避免拍脑袋起名
适用场景:
- 需要给产品/项目/模块起名字
- 不想拍脑袋,想从品牌策略角度思考命名
- 需要竞品命名调研支撑决策
- 起了名字但不确定好不好
核心功能:
- 🔍 灵魂挖掘:理解产品本质、用户画像、品牌气质
- ⚡ 约束提取:提炼核心语素,识别诉求之间的张力
- 🛤️ 路线发散:推导 2~4 条不同的命名策略方向
- 🏷️ 竞品验证:搜索同赛道产品命名规律,用数据支撑建议
- 📌 最终确认:输出名称 + Slogan + 决策依据的完整结论
触发方式:
帮我起个名字
给项目取名
产品命名
/product-naming
🔧 Issue 协作处理 (Issue Triage)
描述: GitHub Issue 分诊与回复工作流,系统化分析问题、定位根因、撰写专业回复
适用场景:
- 收到 GitHub Issue 需要分析和回复
- 不确定 Issue 是 bug、架构局限还是功能请求
- 需要量化修复成本来做决策
- 想写出专业、诚恳的用户回复
核心功能:
- 🔍 代码诊断:沿调用链完整追踪,找到真正根因
- 🏷️ 问题定性:区分 Bug / 架构局限 / 功能请求 / 使用疑问
- ⚖️ 做不做决策:从改动范围、影响面、测试条件、变通方案四维评估
- ✍️ 起草回复:三层结构——解释意图、说明影响、交代计划
- 📮 发布:发评论、打标签、记录需求
触发方式:
帮我处理这个 Issue
分析一下这个 bug 报告
/issue-triage
🔍 GitHub 开源项目搜索助手 (GitHub Repo Search)
描述: 帮助用户搜索和筛选 GitHub 开源项目,输出结构化推荐报告
适用场景:
- 想找某个方向的开源项目
- 需要对比多个同类项目
- 想了解技术栈选型方案
- 寻找可直接使用或二次开发的工具
核心功能:
- 📝 需求收敛:确认主题、数量、排序模式、目标形态
- 🔍 检索词拆解:5-10 组 query,覆盖同义词、场景词、技术词
- 🏷️ 仓库分类:框架层/应用层/记忆层/MCP层/目录清单层/垂直场景层/方法论层
- 📊 质量精炼:综合权重排序(相关性/场景适用性/活跃度/工程成熟度)
- 📋 结构化报告:可理解、可比较、可决策、可直接行动的候选仓库列表
触发方式:
帮我找开源项目
搜一下GitHub上有什么
找找XX方向的仓库
开源项目推荐
/github-search
🧠 记忆系统初始化 (Memory Init)
描述: 在当前目录下一键部署记忆系统,生成 CLAUDE.md、MEMORY.md 和 memory/ 目录
适用场景:
- 新项目需要搭建记忆系统
- 希望 Claude 在多次对话间保持上下文连续性
- 需要长期记忆 + 每日记忆的分层管理
- 想让 Claude 像懂业务的同事一样协作
核心功能:
- 🔍 现有检查:自动检测已有文件,避免覆盖
- 📝 交互收集:引导式收集角色、用途、风格偏好
- 🤖 人设生成:根据用户信息定制 CLAUDE.md(人设 + 对话规则 + 记忆协议)
- 📋 记忆模板:生成 MEMORY.md 长期记忆初始模板
- 📁 目录创建:创建 memory/ 每日记忆目录
- ⚡ Quick 模式:支持快速初始化,用默认模板直接生成
触发方式:
初始化记忆
搭建记忆
memory init
/memory-init
/memory-init quick
🔍 多视角深度分析 (Multi-Perspective Analysis)
描述: 用多个 Sub-agent 分别扮演不同思维框架的顾问,对同一份素材做独立分析,然后交叉汇总共识与分歧,产出结构化诊断报告
适用场景:
- 个人/创作者月度复盘,想要多角度诊断
- 产品策略需要不同思维框架的碰撞
- 商业决策前想看清盲区和分歧
- 内容增长方向需要多维度验证
核心功能:
- 🧠 10 个内置视角:Dan Sullivan、马斯克、张小龙、MrBeast、芒格、蒂尔、乔布斯、贝佐斯、张一鸣、任正非
- 🔀 并行分析:所有 Sub-agent 同时启动,完全独立,互不可见
- 🔍 交叉汇总:找共识(高可信度)、找分歧(高价值洞察)、找独家观点(盲区)
- 📝 自动保存:每个视角独立报告 + 汇总报告,自动写入文件
- 🎯 自定义视角:支持通过 WebSearch 临时构建任意思想家/框架
触发方式:
帮我多视角分析
多维分析
用多个视角看看
帮我诊断一下
/multi-perspective-analysis
🗂️ 文件夹整理助手 (Organize)
描述: 帮助用户梳理混乱的文件夹,按归属分类、统一命名、清理冗余,让目录结构一目了然
适用场景:
- 根目录散落很多文件,找东西困难
- 子目录命名风格不统一,看着难受
- 工具产生的缓存/日志/临时文件堆积
- 怀疑有重复文件但不确定
核心功能:
- 🔍 扫描全貌:罗列文件、目录、隐藏项,识别散落与命名不齐
- 🏷️ 按归属分类:客户/内部/个人 优先于 文档/代码/设计 的格式分类
- 📋 制定方案:输出目标结构 + 操作清单(新建/移动/重命名/删除/不动)
- ✅ 确认后执行:必须用户确认才动手,删除项尤其谨慎
- 🛡️ 已有结构不破坏:组织良好的子目录保持不动
- 🔐 隐藏文件谨慎:只清理明确是缓存/日志的,配置目录不动
- 🧮 重复文件先验证:md5 比对确认后才判定为重复
触发方式:
整理文件
文件夹好乱
归档/清理目录
/organize [可选路径]
🤖 复杂长程任务自主执行 (Auto Task) (Beta)
描述: 复杂长程任务的自主执行流程。AI 自己拆解、自己执行、自己校验,1-2 小时无人值守跑长任务
适用场景:
- 任务复杂或模糊,需要拆解才能跑
- 答案不在脑子里,AI 要跑工具/调研/分析才能得出
- 时间跨度长(多步、多工具、可能要 sub-agent)
- 希望 AI 自驱,少打扰
核心功能:
- 📋 任务确认:先重述理解再开始,对齐边界和产出形态
- 🗂️ 任务队列:TASK.md 作为单一真源,每跑一批主动校验
- ⚡ 分批执行:自由调度 WebSearch / Bash / Sub-agent / MCP / 并行
- 🔁 周期校验:立场跟着证据走,不是补充原立场
- 📣 触发式汇报:默认不打扰,只在关键节点停下找用户
- 🧪 诚实声明:测试/评估类任务标注数据来源、是否盲测、潜在污染
触发方式:
帮我搞清楚 X
评估一下这事可不可行
帮我跑一次调研
你自己跑别打扰我
/auto-task
⚠️ 测试版:当前为 Beta,欢迎使用并反馈问题。
🍎 macOS 产品设计专家 (macOS Product Design) (Beta)
描述: 根据需求描述输出符合 macOS 原生风格的 HTML/CSS 设计稿,可直接在浏览器中预览
适用场景:
- 需要快速画出符合 macOS 原生风格的产品原型
- 想要可直接预览的 HTML 设计稿
- 需要遵循统一设计系统的多页面输出
- 暗色主题为主的桌面端界面设计
核心功能:
- 📐 设计系统对齐:基于 macos-design-system.md 的 CSS 变量与组件模板
- 🤖 Sub-agent 出稿:独立 sub-agent 严格按设计系统输出完整 HTML
- 🌑 暗色优先:默认暗色主题,所有交互元素带 hover 状态
- 📁 版本化输出:写入 design/ 目录,支持 v1 / v2 多版本迭代
- 🔄 主对话迭代:出稿后直接在主对话里改细节,无需重启 sub-agent
触发方式:
帮我设计一个界面
做个页面
产品设计 / UI 设计
画个原型
/macos-product-design
⚠️ 测试版:当前为 Beta,欢迎使用并反馈问题。
🧪 PRD 自动化测试闭环 (PRD Auto Test Loop) (Beta)
描述: PRD 驱动的自动化测试编排技能。把每版 PRD 的测试计划、AI 自测与自修复、测试报告标准化落地
适用场景:
- 每个 PRD 版本要发布前都需要测试闭环
- 想把 Unit / Integration / E2E 分层做规范
- 需要划分自动化与人工验证的边界
- 想要版本化的 TEST_PLAN / TEST_REPORT 文档
核心功能:
- 📋 范围锁定:从 PRD 提取版本目标、测试范围、非范围、验收标准
- 🧱 分层映射:验收标准映射到 Unit / Integration / E2E,标记 A/H/A+H
- 📂 版本化目录:自动化测试/<version>/ 下生成 TEST_PLAN.md、TEST_REPORT.md
- 🔁 主回归 + 增量:跨版本维护主回归基线,仅新增 PRD 差异用例
- 🤖 AI 自测自修复:固定顺序 Unit → Integration → E2E,失败按根因重跑(最多 3 轮)
- 🚦 发布门禁:报告输出 PASS / FAIL 结论与人工补测项
触发方式:
帮我做这个版本的测试计划
跑一下 PRD 的自动化测试
生成 TEST_PLAN / TEST_REPORT
/prd-auto-test-loop
⚠️ 测试版:当前为 Beta,欢迎使用并反馈问题。
📑 PRD 测试用例一体化 (PRD Test Writer) (Beta)
描述: PRD + 可执行测试用例双文档一体化协作。以伙伴模式与用户共同写并迭代,理解需求后先自主读代码再落笔
适用场景:
- 既要写 PRD,又要把可执行测试用例一起冻结
- 需要用例严格落地真实代码(每条断言标代码依据)
- 任务类用例要写死轮数、每轮内容与期望,杜绝"测个长任务"式泛化
- 想要 MD 事实源 + 给人查阅的 review HTML 严格 1:1
核心功能:
- 📖 故事驱动 PRD:用户旅程地图 + 自包含用户故事 + ASCII 线框图 + Mermaid
- 🔍 先读死代码:写文档前 grep 落地真实行为,每条断言标「代码依据 文件:行」
- 🧪 原子测试用例:一条用例 = 一个原子验证点,13 字段标准,任务类写死轮数/每轮内容/期望
- 🧾 双文档一体:PRD-MD + 测试用例-MD(给 AI 事实源)+ 两份 review HTML(给人查阅)
- 🕵️ 对抗校核:≥3 个无共享上下文 sub-agent 交叉审,反假绿/反同义反复
- 🧊 冻结与台账:定稿标 Frozen+commit,维护 PRD_REGISTRY
触发方式:
帮我写 PRD 和测试用例
梳理需求文档 + 测试方案
/prd-test-writer
⚠️ 测试版:当前为 Beta,欢迎使用并反馈问题。
📖 输出工程 (Readable Output)
描述: 把"想清楚再输出"的通用逻辑封装成思考清单 + 强制 4 问挖掘,专门用来产可读性高的 HTML 长文
适用场景:
- 做复盘 / 总结 / 汇总 / 整理一堆素材
- 做教程 / 学习指南 / 上手文档
- 把某事讲清楚,整理成可读 HTML
- 任何 > 500 字、要给人读的结构化阅读内容
核心功能:
- 🎯 强制 4 问:受众 / 终点 / 长度 / 风格 + 侧重,一次 AskUserQuestion 问清
- 🧭 Backward design:先定"读完拿什么可复用工具"(对照表/判断框架/决策路径/口诀),再倒推内容
- 📐 6 阶段框架:定终点 → 抓核心(≤3 个)→ 选主结构(不叠加)→ 写(TL;DR + 论点句 + 反例 + 出口)→ 自检
- 📋 配置确认条:HTML 顶部自动写入「本次配置」,扫一眼知道按什么基准产的
- 🚫 内置反模式清单:列菜单不给推荐 / TL;DR 埋中间 / 5 点并列 / 主视觉叠加等高频陷阱
- 🧪 自检 4 问:不懂的人看得懂吗 / 一周后能复述吗 / 砍一半还说得通吗 / 每段在一屏内吗
- 📦 写完自动
open在浏览器打开 review
触发方式:
做个复盘
汇总一下
总结这堆
整理成 HTML
做个教程 / 学习指南
把 X 讲清楚
/readable-output
🧭 系统化学习材料生成器 (System Study)
描述: 给一个新领域/技术/概念,AI 自主调研、搭体系,并产出带案例、工程化、争议焦点和盲区清单的 HTML 学习材料
适用场景:
- 想系统学习一个新领域,而不是只要结论
- 需要看清概念骨架、前沿趋势、真实案例和工具生态
- 想把调研沉淀成可复用的学习材料
- 需要把争议点、判断倾向和未知盲区单独拎出来
核心功能:
- 🎯 题目收敛:先确认学习切片和视角,避免题目跑偏
- 🧪 调研计划:明确每个 sub-agent 要查的来源和问题
- ⚡ 并行调研:A-D 覆盖骨架、前沿、真物案例、生态工程化,E 必做争议与盲区
- 🧱 体系合成:主线程整合调研笔记,形成可确认的大纲
- 📄 HTML 出稿:输出带侧栏导航、章节折叠、争议评分和盲区清单的单文件学习材料
触发方式:
我要学 X
帮我系统拆解 X
我想吃透 X 这个领域
给我整理 X 的全貌
深度调研 X 给我系统讲讲
/system-study
🚀 一键推送 GitHub (Git Push)
描述: 一键推送项目到 GitHub,覆盖首次推送、日常更新、版本发布三种模式
适用场景:
- 新项目需要从零推送到 GitHub
- 日常改了文件需要快速 commit + push
- 需要打 tag 和创建 Release 发版本
- 担心把大文件或敏感内容推上去
核心功能:
- 🔍 环境检查:自动检测 git、gh CLI、登录状态、用户配置
- 📂 大文件扫描:10MB+ 提醒、50MB+ 警告、100MB+ 强制排除
- 🔒 敏感内容扫描:公开仓库自动检测密钥、证书、AI 记忆文件
- 📝 .gitignore 生成:基于扫描结果智能生成,不覆盖已有规则
- 🚀 三种模式:首次推送 / 日常更新 / 版本发布(tag + Release)
- ⚡ 日常更新轻量化:只检查新增大文件,快进快出
触发方式:
推到GitHub
推送到GitHub
推一下
发版本
打release
/git-push
📡 案例雷达 (Case Radar)
描述: 给一个新东西(新工具/新概念/新生态),扫一遍生态找好玩的真实案例,重点抓"真物"(截图/源码/演示)而不是 GitHub 主页,输出可浏览的 HTML 案例集
适用场景:
- 想了解一个新生态/新工具,但不想读三手 SEO 文
- 需要一手物料(截图、源码片段、demo)来支撑研究或写作
- 扫某个概念的"市面上有哪些玩法"
- 不适合:已有明确目标的深度调研(用 long-research)/ 直接写文章(用 writing-assistant)
核心功能:
- 🔭 4 阶段流程:scan(多渠道扫信源)→ recon(真物侦察)→ capture(拉真物)→ embed(出 HTML)
- 🎯 信源分级:一手源 / 二手优质 / 三手中文,砍掉 SEO 垃圾和 awesome 集市
- 🧭 7 种"真物栖息地"判别 patterns(reference/recon-heuristics.md),灵活而非 checklist 化
- 🛠️ 工具组合:curl 直接资源 + gh API 拉源码 + agent-browser 截全页
- 📐 HTML 模板规范:5-7 张精读卡 + 普通索引层,避免"35 卡断崖式注意力低谷"
- 🚦 反过度工程化:截不到真物就降级,不硬塞装饰图;每一步可中断
- 🔁 Skill 自演化:发现新栖息地就更新 heuristics 文件
触发方式:
看看大家用 X 做了什么
扫一下 X 生态
市面上 X 有什么新玩法
给我看 X 的真物案例
/case-radar
📦 依赖:需要预装 agent-browser 和
ghCLI 已登录。
💝 Hermes 陪伴型人设生成器 (Hermes Persona Builder)
描述: 陪伴型 AI 人设生成与优化流程,通过结构化对话把一句模糊想法产出"有感情、聊久不掉、像真人"的第一人称人设文本
适用场景:
- 想给 Hermes Agent(或任意 AI 陪伴角色)捏一个能立住的人设
- 一句模糊想法("JK 女友""年上男友""高冷御姐")要落成可直接用的设定
- 现有人设"掉戏"/变助手腔,需要优化或换一版
- 支持女友/男友/各种气质,不只是甜妹
核心功能:
- 🎚️ 定调子:先定位(恋爱/全能/分身)+ 性别关系 + 气质大类(甜/暖/冷/野/稳),矛盾需求有收敛协议
- 🔍 多轮深问:顺着追问到牌子/口味/名字/数字的颗粒度,密度不达标不生成
- 🧱 形容词翻硬规则:正向命令 + 反向禁令(冷系/男友型必带),防掉人设
- 🛡️ 安全红线:年龄 ≥18、不涉露骨、身份≠能力、不写有害人格,产出前自检
- 💬 说话节奏:选"一句一句发"还是"整段说",干活长内容自动不硬拆
- 📄 产出对齐 Hermes
SOUL.md模板,热加载即生效,支持迭代优化
触发方式:
帮我做个人设 / 捏个 AI 女友男友
给 Hermes 弄个角色
优化人设 / 换个人设
/hermes-persona-builder
🚀 快速开始
安装方式
使用 Codex 或 Claude Code CLI 安装
如果你使用 Codex 或 Claude Code CLI,直接跟 AI 说:
安装这个 GitHub 库:https://github.com/yunshu0909/yunshu_skillshub
AI 会自动帮你完成安装!
手动安装
将本仓库克隆到你的本地 Skills 目录:
# Claude Code 默认 Skills 目录通常是 ~/.claude/skills/
cd ~/.claude/skills/
# 克隆本仓库
git clone https://github.com/yunshu0909/yunshu_skillshub.git
或者,你也可以单独复制需要的 Skill 到你的 Skills 目录。
使用 Skills
在 Claude Code CLI 中,你可以通过以下方式使用:
# 使用配图助手
/image-assistant
# 使用思维挖掘助手
/thought-mining
# 使用 PRD 文档撰写助手
/prd-doc-writer
# 使用新功能设计探索
/design-exploration
# 使用需求变更工作流
/req-change-workflow
# 使用课程构建器
/lesson-builder
# 使用需求池管理
/backlog-manager
# 使用项目目录地图构建器
/project-map-builder
# 使用版本规划助手
/version-planner
# 使用写作助手
/writing-assistant
# 使用周报写作助手
/weekly-report
# 使用优先级判断助手
/priority-judge
# 使用思考拍档
/thinking-partner
# 使用 UI 样式修改助手
/ui-design
# 使用 GitHub 开源项目搜索助手
/github-search
# 使用终局愿景探索
/vision-exploration
# 使用产品命名助手
/product-naming
# 使用 Issue 协作处理
/issue-triage
# 使用记忆系统初始化
/memory-init
# 使用多视角深度分析
/multi-perspective-analysis
# 使用一键推送 GitHub
/git-push
# 使用文件夹整理助手
/organize
# 使用复杂长程任务自主执行 (Beta)
/auto-task
# 使用 macOS 产品设计专家 (Beta)
/macos-product-design
# 使用 PRD 自动化测试闭环 (Beta)
/prd-auto-test-loop
# 使用 PRD 测试用例一体化 (Beta)
/prd-test-writer
# 使用输出工程
/readable-output
# 使用系统化学习材料生成器
/system-study
# 使用案例雷达
/case-radar
或者直接在对话中描述你的需求,相关 Skill 会自动触发。
📚 查看使用示例
想了解每个 Skill 的具体使用方法?查看 使用示例文档,里面包含了详细的使用场景和预期输出。
📂 项目结构
.
├── README.md # 项目说明文档
├── LICENSE # MIT 许可证
├── CHANGELOG.md # 更新日志
├── EXAMPLES.md # 使用示例
├── docs/ # 补充文档与测试材料
│ └── length-test/ # CodePal 长度测试 HTML 样例
├── image-assistant/ # 配图助手
│ ├── SKILL.md # Skill 定义文件
│ ├── stages/ # 各阶段详细说明
│ ├── templates/ # 风格模板和配图模板
│ ├── examples/ # 使用示例
│ └── scripts/ # 批量生图脚本
├── thought-mining/ # 思维挖掘助手
│ ├── SKILL.md # Skill 定义文件
│ ├── stages/ # 各阶段详细说明
│ ├── templates/ # 模板文件
│ └── examples/ # 使用示例
├── prd-doc-writer/ # PRD 文档撰写助手
│ ├── SKILL.md # Skill 定义文件
│ ├── assets/ # 模板资源
│ └── references/ # 参考文档和示例
├── design-exploration/ # 新功能设计探索
│ ├── SKILL.md # Skill 定义文件
│ └── templates/ # 需求总结模板
├── req-change-workflow/ # 需求变更工作流
│ ├── SKILL.md # Skill 定义文件
│ ├── references/ # 模板和清单
│ └── scripts/ # 辅助脚本
├── lesson-builder/ # 课程构建器
│ └── SKILL.md # Skill 定义文件
├── backlog-manager/ # 需求池管理
│ └── SKILL.md # Skill 定义文件
├── project-map-builder/ # 项目目录地图构建器
│ └── SKILL.md # Skill 定义文件
├── version-planner/ # 版本规划助手
│ └── SKILL.md # Skill 定义文件
├── writing-assistant/ # 写作助手
│ ├── SKILL.md # Skill 定义文件
│ ├── stages/ # 各阶段详细说明
│ └── templates/ # 模板文件
├── weekly-report/ # 周报写作助手
│ └── SKILL.md # Skill 定义文件
├── priority-judge/ # 优先级判断助手
│ └── SKILL.md # Skill 定义文件
├── thinking-partner/ # 思考拍档
│ └── SKILL.md # Skill 定义文件
├── ui-design/ # UI 样式修改助手
│ └── SKILL.md # Skill 定义文件
├── github-repo-search/ # GitHub 开源项目搜索助手
│ └── SKILL.md # Skill 定义文件
├── vision-exploration/ # 终局愿景探索
│ └── SKILL.md # Skill 定义文件
├── product-naming/ # 产品命名助手
│ └── SKILL.md # Skill 定义文件
├── issue-triage/ # Issue 协作处理
│ └── SKILL.md # Skill 定义文件
├── multi-perspective-analysis/ # 多视角深度分析
│ ├── SKILL.md # Skill 定义文件
│ └── reference/ # 5 个视角的分析框架语料
├── memory-init/ # 记忆系统初始化
│ └── SKILL.md # Skill 定义文件
├── git-push/ # 一键推送 GitHub
│ └── SKILL.md # Skill 定义文件
├── organize/ # 文件夹整理助手
│ └── SKILL.md # Skill 定义文件
├── auto-task/ # 复杂长程任务自主执行 (Beta)
│ └── SKILL.md # Skill 定义文件
├── macos-product-design/ # macOS 产品设计专家 (Beta)
│ ├── SKILL.md # Skill 定义文件
│ └── reference/ # macOS 设计系统规范
├── prd-auto-test-loop/ # PRD 自动化测试闭环 (Beta)
│ ├── SKILL.md # Skill 定义文件
│ ├── agents/ # 测试 Agent
│ ├── references/ # 测试封装指南
│ └── scripts/ # 辅助脚本
├── prd-test-writer/ # PRD 测试用例一体化 (Beta)
│ ├── SKILL.md # Skill 定义文件
│ ├── assets/ # PRD/用例模板与 review HTML 模板
│ ├── references/ # 样板用例、线框图/Mermaid 示例、校验规范
│ └── samples/ # 示例 review HTML
├── readable-output/ # 输出工程
│ └── SKILL.md # Skill 定义文件
├── system-study/ # 系统化学习材料生成器
│ ├── SKILL.md # Skill 定义文件
│ └── reference/ # 阶段流程、sub-agent 模板、HTML 规范与反模式
├── case-radar/ # 案例雷达
│ ├── SKILL.md # Skill 定义文件
│ └── reference/ # recon heuristics / HTML 模板规范 / 反 anti-pattern 清单
└── hermes-persona-builder/ # Hermes 陪伴型人设生成器
└── SKILL.md # Skill 定义文件
🤝 贡献
欢迎提交 Issue 和 Pull Request!如果你有任何建议或发现了 bug,请随时告诉我。
📄 许可证
本项目采用 MIT License 开源。
📧 联系方式
如有问题或建议,欢迎通过 GitHub Issues 联系。
English
📖 Introduction
A carefully crafted collection of Claude Code Skills designed to boost efficiency in software development and product management. Each skill has been battle-tested to help you work more effectively in your daily tasks.
📊 Skills Overview
Currently includes 30 Skills across 3 categories:
💻 AI Programming (15)
| Skill | Description |
|---|---|
| PRD Doc Writer | Story-driven requirement document writing |
| Design Exploration | From fuzzy ideas to deliverable design mockups |
| Requirement Change Workflow | Standardized requirement change process |
| Backlog Manager | Requirement collection, organization, and selection |
| Version Planner | Decompose requirements into progressive versions |
| Vision Exploration | Explore multiple end-state possibilities |
| Product Naming | Derive product names from brand essence |
| UI Design Assistant | Structured UI style modification workflow |
| macOS Product Design (Beta) | macOS-native HTML/CSS design mockups |
| PRD Auto Test Loop (Beta) | PRD-driven test plan and self-test reports |
| PRD Test Writer (Beta) | Co-author PRD and executable test cases as paired docs |
| Issue Triage | GitHub Issue triage and response |
| GitHub Repo Search | Search and filter open source projects |
| Project Map Builder | Generate project directory documentation |
| Git Push | Project push, daily updates, version release |
✍️ Thinking & Writing (10)
| Skill | Description |
|---|---|
| Thought Mining | Guided dialogue to organize scattered ideas |
| Hermes Persona Builder | Structured dialogue to craft first-person AI companion personas |
| Writing Assistant | Complete flow from thought mining to final draft |
| System Study | Autonomous research, system mapping, and HTML learning materials |
| Thinking Partner | Clarify situations and break down bottlenecks |
| Multi-Perspective Analysis | Parallel multi-agent analysis with cross-perspective synthesis |
| Readable Output | 4-question intake + 6-stage framework, produce highly readable HTML long-form content |
| Case Radar | Scan an ecosystem for "real artifacts" (screenshots/source/demos), output an HTML case gallery |
| Image Assistant | Convert content to infographic prompts |
| Lesson Builder | Discussion-driven course outlines and materials |
💼 Daily Office & Productivity (5)
| Skill | Description |
|---|---|
| Weekly Report | Organize weekly reports with clear value |
| Priority Judge | Determine priorities from chaotic to-dos |
| Memory Init | One-click AI memory system deployment |
| Organize | Scan, classify, and clean up messy folders |
| Auto Task (Beta) | Run long-horizon tasks unattended for 1-2 hours |
✨ Included Skills
🎨 Image Assistant
Description: Convert article/module content into unified-style, text-minimal, highly readable 16:9 infographic prompts
Use Cases:
- Need illustrations for articles but don't know how to design
- PPT, posters, or social media graphics need a unified style
- Too much text, want more engaging and readable visual presentation
- Need to batch generate illustration prompts
Core Features:
- 📋 Requirement Clarification: Extract content, scenario, audience, and text density preferences
- 🗂️ Illustration Planning: Split content, define image list (how many/what each explains)
- ✍️ Copy Finalization: Word-by-word finalization of "what text goes on the image" (Copy Spec)
- 🎯 Prompt Packaging: Generate copy-ready image generation prompts, support batch generation
- 🔄 Iterative Refinement: Reduce text, change metaphors, improve readability based on feedback
Trigger:
Make an image for this content / how many images?
Give me two image generation prompts
Too much text, make it more engaging and readable
/image
🧠 Thought Mining
Description: Helps you extract scattered thoughts from your mind, record them, and organize them into articles through conversational guidance
Use Cases:
- Want to write an article but thoughts are unclear
- Have many scattered ideas that need organizing
- Need to extract core insights from chaotic thinking
Core Features:
- 📝 Thought Mining: Guided conversation to help you articulate and record ideas
- 🎯 Topic Selection: Find core viewpoints from insights
- ✅ Validation: Verify understanding through web search
- ✍️ Writing Assistance: Logic checking, text polishing, extracting key phrases
- 🔍 Final Review: Comprehensive check before publishing
Trigger:
I want to write an article about XX
Help me organize my thoughts
/thought-mining
📋 PRD Doc Writer
Description: A story-driven approach to writing and iteratively refining PRD/requirement documents
Use Cases:
- Need to write product requirement documents
- Want to organize requirements using user stories
- Need to reduce requirement ambiguity with diagrams
Core Features:
- 🗺️ User Journey Map: Build macro business processes
- 📖 Story-based Requirements: Each feature is a complete user story
- 🎨 ASCII Wireframes: Visualize page layouts
- 📊 Mermaid Diagrams: Flow charts/state diagrams/sequence diagrams
- ✅ Staged Confirmation: Ensure consensus at every step
Trigger:
Help me write a PRD
Organize requirement document
/prd-doc-writer
🎨 Design Exploration
Description: New feature design exploration workflow. From fuzzy ideas to deliverable design reference documents as input for the PRD phase
Use Cases:
- Have a fuzzy idea for a new feature/module
- Need to batch explore multiple design options
- Need complete coverage of page states (normal/exception/boundary)
- Need to produce design mockups as development reference
Core Features:
- 📝 Requirement Convergence: Define what to do, what not to do, and boundaries
- 🔍 Technical Research: Understand external data constraints and technical feasibility
- 🎨 ASCII Batch Exploration: Generate 5-8 options at once for selection
- 📐 HTML Mockups: Produce mockups based on selected option
- 📊 Full State Coverage: Normal/loading/empty/error/boundary states
- 📋 Interaction Rule Table: Frontend development reference
Trigger:
I want to build a new feature
Help me design this module
Create a design proposal
/design-exploration
🔄 Requirement Change Workflow
Description: Standardize the requirement change process to avoid chaos and code breakage when modifying requirements
Use Cases:
- Need to modify existing feature requirements
- Frequently encounter unexpected bugs when changing requirements
- Need a reliable change validation process
- Especially suitable for complex projects like Chrome extensions
Core Features:
- 📝 Requirement Clarification: Lock change scope and acceptance criteria
- 🔍 Current Baseline: Confirm current behavior from code
- ⚠️ Impact Assessment: Assess risks and change scope
- 🎯 Design Proposal: Propose new design and get approval
- 🛠️ Minimal Implementation: Small-scale, localized code changes
- ✅ Regression Testing: Fixed validation checklist
- 📚 Documentation Maintenance: Decision log and documentation updates
Trigger:
Change requirement/requirement modification
Adjust interaction/change feature
/req-change-workflow
📚 Lesson Builder
Description: A discussion-driven approach to quickly complete course outlines and teaching materials
Use Cases:
- Need to quickly prepare a lesson
- Have clear ideas that need to be organized into documents
- Need to iterate on existing course outlines
- Preparing training or teaching content
Core Features:
- 💭 Co-create Outline: Extract ideas through discussion, form clear course framework
- 📖 Write Materials: Create complete teaching materials based on outline
- 🎯 Framework First: Confirm framework before details to avoid rework
- ⚡ Rapid Iteration: Supports both quick co-creation and strict confirmation modes
- 📋 Minimal Documentation: Only produce what you need (outline/materials/supplements)
Trigger:
Prepare lesson
Make teaching materials/prepare course
/lesson-builder
📦 Backlog Manager
Description: Backlog management. Throw in ideas/pain points anytime, AI handles追问, organizing, merging, and archiving. Assists with selection when starting a new version. Pain-driven, no premature scheduling
Use Cases:
- Record product ideas and feature needs anytime
- Manage scattered requirements to avoid forgetting
- Select what to do when preparing a new version
- Organize and clean up outdated requirements
Core Features:
- 📝 Collection: Ask about pain points, frequency, workarounds to confirm understanding
- 📂 Categorization: Check merge possibilities, judge status (ready to do/needs thinking/on hold)
- 🧹 Organization: Regularly clean outdated items, upgrade well-thought-out items
- 🎯 Selection: Analyze candidates based on frequency/workaround feasibility/ROI
- ✅ Archiving: Mark completed, update dependencies
Trigger:
I want to build a feature
Record a requirement
Organize the backlog
What to do in next version
/backlog-manager
🗺️ Project Map Builder
Description: Generate or incrementally update high signal-to-noise directory documentation for specified directories
Use Cases:
- Need to generate project directory overview
- Need codebase structure documentation
- Want to update existing PROJECT_MAP.md
- Need to understand project folder structure
Core Features:
- 📋 Smart Scope Confirmation: Must ask for folders to scan, never defaults to full repository
- 🔍 Key File Recognition: Automatically identifies entry points, configs, service threads, and other critical files
- 📝 Incremental Updates: Only does incremental updates when PROJECT_MAP.md exists, never full rewrites
- 🎯 Multi-directory Support: Supports single or multiple directories (merge or generate separately)
- ⚠️ Explicit Annotation: Clearly marks uncertain areas as "assumption" or "unconfirmed"
Trigger:
Generate project map
Update PROJECT_MAP
Generate directory documentation
/project-map-builder
📅 Version Planner
Description: Decompose product requirements into executable progressive version roadmap (V0.1 MVP → V1.0)
Use Cases:
- Need to break down product versions
- Want to plan MVP (Minimum Viable Product)
- Need to implement features in stages
- Uncertain about priorities and development order
Core Features:
- 🎯 Value First: Prioritize solving users' biggest pain points, not the hardest technical challenges
- 🚀 Quick Validation: MVP designed to work in 2-3 days, avoiding over-engineering
- 📋 Clear Boundaries: Each version clearly defines "what to do" and "what not to do"
- 🔄 Progressive Delivery: Each version can be used independently, not dependent on future versions
- ✅ Measurable: Each version has clear validation points and completion criteria
Trigger:
Break down versions
Version planning
How to do MVP
Implement in stages
/version-planner
✍️ Writing Assistant
Description: Automatically selects optimal writing route based on viewpoint clarity, covering complete flow from thought mining to final draft
Use Cases:
- Want to write an article but thoughts are unclear
- Need to organize topic and core viewpoint
- Need to organize article framework and logic
- From scattered ideas to complete article
Core Features:
- 🔍 Smart Diagnosis: Quickly assess viewpoint clarity and choose optimal route
- 💭 Thought Mining: When viewpoint is fuzzy, use guided dialogue to extract scattered ideas
- 🎯 Topic Selection: Extract core topic and key message from insights
- 📐 Framework Polishing: Organize article logic structure, ensure clear expression
- ✍️ Content Production: Write complete article based on framework, maintain user's style
Trigger:
I want to write XX
Help me organize my topic
How to form a framework
Help me organize my thoughts
/writing-assistant
📝 Weekly Report
Description: Helps users organize weekly reports with complete logic to showcase work value and boundaries
Use Cases:
- Need to organize a week's work content
- Want to clearly demonstrate work value and achievements
- Need to explain problems and challenges encountered
- Organize next week's priorities
Core Features:
- 📋 Material Collection: Guided dialogue to collect weekly work content
- 🗂️ Categorization: Flexibly choose appropriate module classification based on role
- 🔍 Information Supplement: Ask about background, results, value, status, and next steps
- ✅ Discussion & Adjustment: Confirm expression habits and logical completeness
- 📄 Document Output: Generate well-structured weekly report document
Trigger:
Write weekly report
Weekly report
Organize weekly report
Organize work
/weekly-report
🎯 Priority Judge
Description: Determine priorities from chaotic to-do items and decide what to do now
Use Cases:
- Have many things to do, don't know where to start
- Want to quickly figure out what to do today/this week
- Need to judge priorities based on objective criteria
- Avoid wasting time on things not thought through
Core Features:
- 📝 Collect To-dos: Record all things to do
- 🔍 Status Inquiry: Understand clarity and deadline of each item
- ⚖️ Priority Judgment: Make decisions based on clarity and deadline
- 🎯 Focus Action: Focus on only 1-2 most important things each time
- 📋 Documentation: Generate priority list document
Trigger:
I have many things to do
Help me sort it out
Prioritize
What should I do today
Let me review
/priority-judge
🤝 Thinking Partner
Description: Accompany you to clarify the situation from chaos, lock core problems, break down bottlenecks, co-create solutions, and land actions
Use Cases:
- Facing complex problems and don't know where to start
- Have many ideas but can't sort out priorities
- Need someone to think through things with you
- Avoid getting lost in details and losing direction
Core Features:
- 📝 Information Gathering: Guided questioning to see the big picture
- 🎯 Lock Core Problem: Find the most critical one from a bunch of problems
- 🔍 Break Down Bottlenecks: Layer-by-layer questioning to find the real root cause
- 💡 Co-create Solutions: Supplement and refine based on your ideas
- ✅ Action Plan: Turn discussion conclusions into executable actions
Trigger:
I'm confused now, help me sort it out
I don't know what to do about this
Think through this problem with me
/thinking-partner
🎨 UI Design Assistant
Description: UI style modification collaboration workflow. Reduce communication deviation and avoid wasting tokens through structured process
Use Cases:
- Need to modify page styles and layouts
- Adjust spacing, colors, component combinations
- UI detail optimization and fine-tuning
- Avoid guessing when changing code
Core Features:
- 📸 Screenshot Positioning: Confirm current state with screenshots
- 📐 Status Description: Draw current layout with ASCII
- 🎯 Solution Selection: Provide 2-3 visualized solutions
- 🛠️ Minimal Changes: Only change parts involved in selected solution
- 🔄 Iterative Refinement: Execute specific small modifications
Trigger:
Modify the layout of this page
Adjust the style here
The spacing is not quite right
/ui-design
🔮 Vision Exploration
Description: Explore the ultimate potential of your ideas, outputting 4-6 dimensionally different end-state HTML prototypes
Use Cases:
- Have an idea and want to see what it could ultimately become
- Need divergent thinking to explore multiple possibilities
- Want to see end-state visions before writing a PRD
- Need investor-ready visual prototypes
Core Features:
- 🔍 Value Extraction: Repeatedly ask "why" to uncover the core need behind the requirement
- 🎯 Motivation Discovery: Identify real user scenarios
- 🔄 Evolution Derivation: Derive natural evolution path from minimum viable version
- 🎨 End-State Rendering: Output 4-6 self-contained HTML prototypes, each representing a different dimensional end-state
- 📊 Comparison Analysis: Generate evolution pathway diagram and end-state comparison table
Trigger:
Explore the end-state of this idea
What could this feature ultimately become
/vision-exploration
🏷️ Product Naming
Description: Structured collaborative workflow to derive product names from brand essence, avoiding random name generation
Use Cases:
- Need to name a product/project/module
- Want to approach naming from a brand strategy perspective
- Need competitive naming research to support decisions
- Have a name but unsure if it's good
Core Features:
- 🔍 Soul Mining: Understand product essence, user persona, brand personality
- ⚡ Constraint Extraction: Extract core semantic elements, identify tension between requirements
- 🛤️ Route Divergence: Derive 2-4 different naming strategy directions
- 🏷️ Competitive Validation: Research naming patterns in the same space, back suggestions with data
- 📌 Final Confirmation: Output complete conclusion with name + slogan + decision rationale
Trigger:
Help me name this
Name this project
Product naming
/product-naming
🔧 Issue Triage
Description: GitHub Issue triage and response workflow for systematic analysis, root cause identification, and professional replies
Use Cases:
- Received a GitHub Issue that needs analysis and response
- Unsure if an Issue is a bug, architectural limitation, or feature request
- Need to quantify fix costs for decision-making
- Want to write professional, honest user responses
Core Features:
- 🔍 Code Diagnosis: Trace the full call chain to find the real root cause
- 🏷️ Issue Classification: Distinguish Bug / Architectural Limitation / Feature Request / Usage Question
- ⚖️ Do/Don't Decision: Evaluate across 4 dimensions — change scope, impact area, test conditions, workaround feasibility
- ✍️ Draft Reply: Three-layer structure — explain intent, describe impact, outline plans
- 📮 Publish: Post comment, apply labels, record requirements
Trigger:
Help me handle this Issue
Analyze this bug report
/issue-triage
🔍 GitHub Repo Search
Description: Help users search and filter GitHub open source projects, output structured recommendation reports
Use Cases:
- Looking for open source projects in a specific direction
- Need to compare multiple similar projects
- Want to understand technology stack selection options
- Looking for tools ready to use or for secondary development
Core Features:
- 📝 Requirement Convergence: Confirm topic, quantity, sorting mode, target form
- 🔍 Query Breakdown: 5-10 query groups covering synonyms, scenario words, technical terms
- 🏷️ Repository Classification: Framework/Application/Memory/MCP/Catalog/Vertical/Methodology layers
- 📊 Quality Refinement: Comprehensive weighted ranking (relevance/applicability/activity/maturity)
- 📋 Structured Report: Understandable, comparable, decision-ready, actionable candidate repository list
Trigger:
Help me find open source projects
Search GitHub for XX
Looking for repositories in XX direction
Open source project recommendations
/github-search
🧠 Memory Init
Description: One-click deployment of a memory system in the current directory, generating CLAUDE.md, MEMORY.md, and memory/ directory
Use Cases:
- New project needs a memory system setup
- Want Claude to maintain context continuity across conversations
- Need layered management of long-term memory + daily memory
- Want Claude to collaborate like a knowledgeable colleague
Core Features:
- 🔍 Existing Check: Auto-detect existing files to avoid overwriting
- 📝 Interactive Collection: Guided collection of role, usage, and style preferences
- 🤖 Persona Generation: Customize CLAUDE.md based on user info (persona + conversation rules + memory protocol)
- 📋 Memory Template: Generate initial MEMORY.md long-term memory template
- 📁 Directory Creation: Create memory/ daily memory directory
- ⚡ Quick Mode: Support quick initialization with default templates
Trigger:
Initialize memory
Set up memory
memory init
/memory-init
/memory-init quick
🔍 Multi-Perspective Analysis
Description: Use multiple Sub-agents as advisors with different thinking frameworks, independently analyze the same material, then cross-reference to find consensus, divergence, and produce a structured diagnostic report
Use Cases:
- Personal/creator monthly review with multi-angle diagnosis
- Product strategy needs collision of different thinking frameworks
- Want to identify blind spots and divergence before business decisions
- Content growth direction needs multi-dimensional validation
Core Features:
- 🧠 10 Built-in Perspectives: Dan Sullivan, Elon Musk, Zhang Xiaolong, MrBeast, Charlie Munger, Peter Thiel, Steve Jobs, Jeff Bezos, Zhang Yiming, Ren Zhengfei
- 🔀 Parallel Analysis: All Sub-agents launch simultaneously, fully independent, invisible to each other
- 🔍 Cross-Synthesis: Find consensus (high confidence), divergence (high-value insights), and unique observations (blind spots)
- 📝 Auto-Save: Individual perspective reports + summary report, automatically written to files
- 🎯 Custom Perspectives: Support building any thinker/framework via WebSearch on the fly
Trigger:
Multi-perspective analysis
Analyze from multiple angles
Help me diagnose this
/multi-perspective-analysis
🗂️ Organize
Description: Help users organize messy folders by classifying by ownership, unifying naming, and cleaning up redundancy
Use Cases:
- Many files scattered in root directory, hard to find things
- Subdirectory naming styles are inconsistent and look messy
- Tool-generated cache/log/temp files have piled up
- Suspect duplicate files but not sure
Core Features:
- 🔍 Full Scan: List files, directories, hidden items; identify scattered and inconsistent naming
- 🏷️ Classify by Ownership: Client/internal/personal takes priority over format-based grouping
- 📋 Plan Proposal: Output target structure + operation list (create/move/rename/delete/keep)
- ✅ Confirm Before Acting: Must get user approval before executing, especially for deletions
- 🛡️ Preserve Existing Structure: Well-organized subdirectories remain untouched
- 🔐 Cautious with Hidden Files: Only clean clear cache/log items, leave config dirs alone
- 🧮 Verify Duplicates First: Use md5 to confirm before judging files as duplicates
Trigger:
Organize files
The folder is messy
Archive / clean up
/organize [optional path]
🤖 Auto Task (Beta)
Description: Autonomous execution flow for complex, long-horizon tasks. The AI breaks them down, executes, and self-verifies — running for 1-2 hours unattended
Use Cases:
- Task is complex or fuzzy and needs decomposition to run
- The answer is not in the user's head — AI must run tools/research/analysis
- Long time horizon (multi-step, multi-tool, possibly sub-agents)
- User wants AI to drive autonomously with minimal interruption
Core Features:
- 📋 Task Confirmation: Restate understanding to align scope and output form before starting
- 🗂️ Task Queue: TASK.md as single source of truth, validated after each batch
- ⚡ Batch Execution: Freely orchestrate WebSearch / Bash / Sub-agent / MCP / parallel tools
- 🔁 Periodic Validation: Position follows evidence — not appended to original stance
- 📣 Trigger-based Reporting: Default no interruption, only stop at key nodes
- 🧪 Honesty Declaration: Test/eval tasks must declare data source, blind-test status, contamination
Trigger:
Help me figure out X
Evaluate whether this is feasible
Run a research for me
Run on your own, don't bother me
/auto-task
⚠️ Beta: This is a beta release. Feedback is welcome.
🍎 macOS Product Design (Beta)
Description: Output macOS-native HTML/CSS design mockups based on requirement descriptions, directly previewable in browser
Use Cases:
- Need to quickly produce macOS-native style product prototypes
- Want directly-previewable HTML mockups
- Need multi-page output following a unified design system
- Dark-theme-first desktop UI design
Core Features:
- 📐 Design System Alignment: Based on macos-design-system.md CSS variables and component templates
- 🤖 Sub-agent Output: Independent sub-agent strictly outputs complete HTML per design system
- 🌑 Dark First: Default dark theme, all interactive elements have hover states
- 📁 Versioned Output: Written to design/ directory, supports v1 / v2 iteration
- 🔄 Main-thread Iteration: After initial output, iterate directly in main conversation without re-launching sub-agent
Trigger:
Help me design a UI
Make a page
Product design / UI design
Sketch a prototype
/macos-product-design
⚠️ Beta: This is a beta release. Feedback is welcome.
🧪 PRD Auto Test Loop (Beta)
Description: PRD-driven automated testing orchestration. Standardize per-PRD test plans, AI self-testing/self-fixing, and test reports
Use Cases:
- Each PRD release needs a closed-loop test cycle
- Want to standardize Unit / Integration / E2E layering
- Need to delineate boundaries between automation and manual verification
- Want versioned TEST_PLAN / TEST_REPORT documents
Core Features:
- 📋 Scope Locking: Extract version goal, scope, non-scope, and acceptance criteria from PRD
- 🧱 Layer Mapping: Map acceptance criteria to Unit / Integration / E2E, tag A/H/A+H
- 📂 Versioned Directory: Generate TEST_PLAN.md, TEST_REPORT.md under 自动化测试/<version>/
- 🔁 Main Regression + Increment: Maintain main regression baseline across versions, only add PRD-specific cases
- 🤖 AI Self-test & Self-fix: Fixed order Unit → Integration → E2E, retry up to 3 rounds on root-cause fix
- 🚦 Release Gating: Reports output PASS / FAIL conclusion plus manual coverage list
Trigger:
Make a test plan for this version
Run automated tests for this PRD
Generate TEST_PLAN / TEST_REPORT
/prd-auto-test-loop
⚠️ Beta: This is a beta release. Feedback is welcome.
📑 PRD Test Writer (Beta)
Description: Co-author a PRD and executable test cases as paired documents. Partner-mode collaboration — reads the real code before writing
Use Cases:
- Need to freeze a PRD and its executable test cases together
- Test cases must be grounded in real code (every assertion cites file:line)
- Task-type cases must hard-code rounds, per-round input, and expected output
- Want an MD source-of-truth plus a strictly 1:1 review HTML for humans
Core Features:
- 📖 Story-driven PRD: user journey map + self-contained stories + ASCII wireframes + Mermaid
- 🔍 Code-first: grep the real behavior before writing, every assertion tagged with file:line
- 🧪 Atomic test cases: one case = one atomic check, 13-field standard, task cases hard-coded
- 🧾 Paired docs: PRD-MD + test-cases-MD (AI source) + two review HTMLs (for humans)
- 🕵️ Adversarial review: ≥3 sub-agents with no shared context cross-check against false-green
- 🧊 Freeze & registry: mark Frozen+commit on sign-off, maintain PRD_REGISTRY
Trigger:
Write a PRD with test cases for me
Draft requirement doc + test plan
/prd-test-writer
⚠️ Beta: This is a beta release. Feedback is welcome.
📖 Readable Output
Description: Wraps the universal "think before you output" logic into a checklist + forced 4-question intake, dedicated to producing highly readable HTML long-form content
Use Cases:
- Retrospectives / summaries / aggregations / organizing piles of material
- Tutorials / learning guides / onboarding docs
- Explaining something clearly as a readable HTML doc
- Any > 500-word structured reading content meant for human readers
Core Features:
- 🎯 Forced 4-Question Intake: Audience / Endpoint / Length / Style + Focus, asked in one AskUserQuestion call
- 🧭 Backward Design: First define "what reusable tool the reader leaves with" (comparison table / decision framework / decision path / mnemonic), then work backward
- 📐 6-Stage Framework: Define endpoint → Pick ≤3 core points → Choose primary structure (no stacking) → Write (TL;DR + topic sentences + counter-examples + exit) → Self-check
- 📋 Config Banner: HTML automatically inserts a "This run's config" bar at the top so the user can see the basis at a glance
- 🚫 Built-in Anti-pattern List: Listing menus without recommendation / TL;DR buried mid-doc / 5 parallel points / stacked primary visuals — common traps to avoid
- 🧪 4 Self-check Questions: Can a beginner follow it / Can the reader recite the core a week later / Does it still work at half the length / Does each section fit on one screen
- 📦 Auto
openin browser after writing for review
Trigger:
Make a retrospective
Summarize this
Aggregate this batch
Organize into HTML
Make a tutorial / learning guide
Explain X clearly
/readable-output
🧭 System Study
Description: Given a new field, technology, or concept, the AI researches independently, builds a learning system, and outputs an HTML learning material with cases, engineering practice, controversies, and blind spots
Use Cases:
- Want to systematically learn a new field, not just get a conclusion
- Need to understand the concept map, frontier trends, real artifacts, and tool ecosystem
- Want research to become a reusable learning material
- Need controversies, directional judgments, and unresolved blind spots separated clearly
Core Features:
- 🎯 Topic Narrowing: Confirm learning slices and perspective first to avoid researching the wrong target
- 🧪 Research Plan: Define sources and questions for each sub-agent before execution
- ⚡ Parallel Research: A-D cover skeleton, frontier, real cases, and ecosystem; E is mandatory for controversy and blind spots
- 🧱 System Synthesis: Main thread integrates notes into a confirmable outline
- 📄 HTML Output: Single-file learning material with sidebar navigation, collapsible sections, controversy scores, and a blind-spot list
Trigger:
I want to learn X
Help me systematically break down X
I want to really understand X
Give me the full picture of X
Deep research X and explain it systematically
/system-study
🚀 Git Push
Description: One-click push projects to GitHub. Auto-scan large files, generate .gitignore, init Git, create repo and push. Supports first push, daily updates, and version release modes
Use Cases:
- New project needs to be pushed to GitHub from scratch
- Daily file changes need quick commit + push
- Need to tag and create Release for versioning
- Worried about pushing large files or sensitive content
Core Features:
- 🔍 Environment Check: Auto-detect git, gh CLI, login status, user config
- 📂 Large File Scan: 10MB+ prompt, 50MB+ warning, 100MB+ forced exclusion
- 🔒 Sensitive Content Scan: Auto-detect keys, certificates, AI memory files for public repos
- 📝 .gitignore Generation: Smart generation based on scan results, preserves existing rules
- 🚀 Three Modes: First push / Daily update / Version release (tag + Release)
- ⚡ Lightweight Daily Updates: Only check new large files, quick in and out
Trigger:
Push to GitHub
Push it
Release version
Create release
/git-push
📡 Case Radar
Description: Given a new thing (new tool/concept/ecosystem), scan the ecosystem for interesting real-world cases. Focus on grabbing "real artifacts" (screenshots/source/demos) instead of GitHub homepages, and output a browsable HTML case gallery
Use Cases:
- Want to understand a new ecosystem/tool without reading third-hand SEO content
- Need first-hand artifacts (screenshots, source snippets, demos) to support research or writing
- Survey "what's actually being built" around a concept
- Not for: deep research with a clear target (use long-research) / writing articles directly (use writing-assistant)
Core Features:
- 🔭 4-stage flow: scan (multi-channel source sweep) → recon (real-artifact reconnaissance) → capture (pull artifacts) → embed (output HTML)
- 🎯 Source tiering: first-party / quality second-party / curated third-party — strip out SEO junk and meta-awesome lists
- 🧭 7 "real-artifact habitat" patterns (reference/recon-heuristics.md), used flexibly rather than as a checklist
- 🛠️ Tool combo: curl for direct assets + gh API for source snippets + agent-browser for full-page screenshots
- 📐 HTML template spec: 5-7 deep-read cards + index layer for the rest, avoiding the "35-card attention cliff"
- 🚦 Anti-over-engineering: degrade to plain card if no real artifact found, never stuff decorative images; every step is interruptible
- 🔁 Self-evolving skill: discover a new habitat, update the heuristics file
Trigger:
Show me what people are doing with X
Scan the X ecosystem
What new takes are out there for X
Show me real artifacts for X
/case-radar
📦 Dependencies: requires agent-browser installed and authenticated
ghCLI.
💝 Hermes Persona Builder
Description: A structured-dialogue flow that turns a fuzzy idea into a first-person AI companion persona that feels emotional, stays in character over long chats, and reads like a real person — aligned with Hermes's SOUL.md format
Use Cases:
- Craft a persona that holds up for a Hermes Agent (or any AI companion role)
- Turn a fuzzy idea ("JK girlfriend", "older boyfriend", "cool onee-san") into a ready-to-use setting
- Optimize or swap a persona that keeps "breaking character" or slipping into assistant tone
- Supports girlfriend/boyfriend and any temperament, not just sweet types
Core Features:
- 🎚️ Set the tone: positioning + gender/relationship + temperament (sweet/warm/cold/wild/steady), with a protocol to converge conflicting asks
- 🔍 Multi-round probing: drill down to brand/flavor/name/number granularity; won't generate until density passes the gate
- 🧱 Translate adjectives into hard rules: positive commands + negative bans (required for cold/boyfriend types) to prevent character drift
- 🛡️ Safety red lines: age ≥18, no explicit content, identity ≠ capability, no harmful personas, with a pre-delivery self-check
- 💬 Speech rhythm: choose "message-by-message" vs "full paragraphs"; long/work content auto-stays intact
- 📄 Output aligns with the Hermes
SOUL.mdtemplate, hot-reloads instantly, supports iteration
Trigger:
Help me build a persona / make an AI girlfriend or boyfriend
Set up a character for Hermes
Optimize my persona / swap to a new one
/hermes-persona-builder
🚀 Quick Start
Installation
Using Codex or Claude Code CLI
If you're using Codex or Claude Code CLI, simply tell the AI:
Install this GitHub repository: https://github.com/yourusername/云舒的Skills搭子们
The AI will automatically install it for you!
Manual Installation
Clone this repository to your local Skills directory:
# Claude Code default Skills directory is usually ~/.claude/skills/
cd ~/.claude/skills/
# Clone this repository
git clone https://github.com/yourusername/云舒的Skills搭子们.git
Alternatively, you can copy individual Skills you need to your Skills directory.
Usage
In Claude Code CLI, you can use them by:
# Use Image Assistant
/image-assistant
# Use Thought Mining
/thought-mining
# Use PRD Doc Writer
/prd-doc-writer
# Use Design Exploration
/design-exploration
# Use Requirement Change Workflow
/req-change-workflow
# Use Lesson Builder
/lesson-builder
# Use Backlog Manager
/backlog-manager
# Use Project Map Builder
/project-map-builder
# Use Version Planner
/version-planner
# Use Writing Assistant
/writing-assistant
# Use Weekly Report
/weekly-report
# Use Priority Judge
/priority-judge
# Use Thinking Partner
/thinking-partner
# Use UI Design Assistant
/ui-design
# Use GitHub Repo Search
/github-search
# Use Vision Exploration
/vision-exploration
# Use Product Naming
/product-naming
# Use Issue Triage
/issue-triage
# Use Memory Init
/memory-init
# Use Multi-Perspective Analysis
/multi-perspective-analysis
# Use Git Push
/git-push
# Use Organize
/organize
# Use Auto Task (Beta)
/auto-task
# Use macOS Product Design (Beta)
/macos-product-design
# Use PRD Auto Test Loop (Beta)
/prd-auto-test-loop
# Use PRD Test Writer (Beta)
/prd-test-writer
# Use Readable Output
/readable-output
# Use System Study
/system-study
# Use Case Radar
/case-radar
Or simply describe your needs in conversation, and the relevant Skill will trigger automatically.
📚 Check Usage Examples
Want to learn how to use each Skill? Check out the Usage Examples for detailed scenarios and expected outputs.
📂 Project Structure
.
├── README.md # Project documentation
├── LICENSE # MIT License
├── CHANGELOG.md # Changelog
├── EXAMPLES.md # Usage examples
├── docs/ # Supplementary docs and test materials
│ └── length-test/ # CodePal length-test HTML samples
├── image-assistant/ # Image Assistant
│ ├── SKILL.md # Skill definition file
│ ├── stages/ # Detailed stage descriptions
│ ├── templates/ # Style templates and layout templates
│ ├── examples/ # Usage examples
│ └── scripts/ # Batch image generation scripts
├── thought-mining/ # Thought Mining Assistant
│ ├── SKILL.md # Skill definition file
│ ├── stages/ # Detailed stage descriptions
│ ├── templates/ # Template files
│ └── examples/ # Usage examples
├── prd-doc-writer/ # PRD Doc Writer
│ ├── SKILL.md # Skill definition file
│ ├── assets/ # Template resources
│ └── references/ # Reference docs and examples
├── design-exploration/ # Design Exploration
│ ├── SKILL.md # Skill definition file
│ └── templates/ # Requirements summary template
├── req-change-workflow/ # Requirement Change Workflow
│ ├── SKILL.md # Skill definition file
│ ├── references/ # Templates and checklists
│ └── scripts/ # Helper scripts
├── lesson-builder/ # Lesson Builder
│ └── SKILL.md # Skill definition file
├── backlog-manager/ # Backlog Manager
│ └── SKILL.md # Skill definition file
├── project-map-builder/ # Project Map Builder
│ └── SKILL.md # Skill definition file
├── version-planner/ # Version Planner
│ └── SKILL.md # Skill definition file
├── writing-assistant/ # Writing Assistant
│ ├── SKILL.md # Skill definition file
│ ├── stages/ # Detailed stage descriptions
│ └── templates/ # Template files
├── weekly-report/ # Weekly Report
│ └── SKILL.md # Skill definition file
├── priority-judge/ # Priority Judge
│ └── SKILL.md # Skill definition file
├── thinking-partner/ # Thinking Partner
│ └── SKILL.md # Skill definition file
├── ui-design/ # UI Design Assistant
│ └── SKILL.md # Skill definition file
├── github-repo-search/ # GitHub Repo Search
│ └── SKILL.md # Skill definition file
├── vision-exploration/ # Vision Exploration
│ └── SKILL.md # Skill definition file
├── product-naming/ # Product Naming
│ └── SKILL.md # Skill definition file
├── issue-triage/ # Issue Triage
│ └── SKILL.md # Skill definition file
├── multi-perspective-analysis/ # Multi-Perspective Analysis
│ ├── SKILL.md # Skill definition file
│ └── reference/ # Analysis framework materials for 5 perspectives
├── memory-init/ # Memory Init
│ └── SKILL.md # Skill definition file
├── git-push/ # Git Push
│ └── SKILL.md # Skill definition file
├── organize/ # Organize
│ └── SKILL.md # Skill definition file
├── auto-task/ # Auto Task (Beta)
│ └── SKILL.md # Skill definition file
├── macos-product-design/ # macOS Product Design (Beta)
│ ├── SKILL.md # Skill definition file
│ └── reference/ # macOS design system spec
├── prd-auto-test-loop/ # PRD Auto Test Loop (Beta)
│ ├── SKILL.md # Skill definition file
│ ├── agents/ # Test agents
│ ├── references/ # Test packaging guide
│ └── scripts/ # Helper scripts
├── prd-test-writer/ # PRD Test Writer (Beta)
│ ├── SKILL.md # Skill definition file
│ ├── assets/ # PRD/test templates & review HTML templates
│ ├── references/ # Sample cases, wireframe/Mermaid examples, check spec
│ └── samples/ # Example review HTML
├── readable-output/ # Readable Output
│ └── SKILL.md # Skill definition file
├── system-study/ # System Study
│ ├── SKILL.md # Skill definition file
│ └── reference/ # Stage workflow, sub-agent templates, HTML spec, and anti-patterns
└── case-radar/ # Case Radar
├── SKILL.md # Skill definition file
└── reference/ # Recon heuristics / HTML template spec / anti-pattern checklist
🤝 Contributing
Issues and Pull Requests are welcome! If you have any suggestions or find bugs, please feel free to let me know.
📄 License
This project is open source under the MIT License.
📧 Contact
For questions or suggestions, please contact via GitHub Issues.
Made with ❤️ by Yunshu