AI Agent Skills 集合 — 面向 Claude Code / Trae / OpenClaw 等 AI 编程助手的可复用技能包。
以下 5 个 skill 为原创设计,部分属于 AI Agent 领域首创概念:
| Skill | 简介 | 详情 |
|---|---|---|
| cli-help-layers | CLI 帮助信息分层设计指南 — Usage/Help/Man 三层渐进式披露架构,让 AI Agent 高效解析和调用 CLI 命令 | README |
| exploration-tree | 通用探索树 — 树状探索记录框架,采用"广度枚举→选易深入→失败回溯→再广度"交替策略,系统性求解复杂问题 | README |
| fast-rebase | squash-merge 后的加速 rebase — 用 MESSAGE+TIME+STATE 三重信号定位 upstream 已合并 commit 并 drop,逐字节校验零代码丢失 | README |
| skill-iter | Skill 自迭代评审引擎 — 7 维度评审标准 + 完整工具链,评估并提升 Skill 的自迭代闭环能力 | README |
| skill-selector | 通用 Skill 选择器 — 下载候选源码做深度分析,构建决策树,1-3 轮交互选定最合适的 skill | README |
| Skill | Description |
|---|---|
| cli-help-layers | CLI 帮助信息分层设计指南,让 AI Agent 高效解析和调用 CLI 命令 |
| exploration-tree | 通用探索树,树状探索记录框架,系统性穷举、验证、排除复杂问题 |
| fast-rebase | squash-merge 后的加速 rebase,三重信号定位 upstream 已合并 commit 并 drop,逐字节校验零代码丢失 |
| favorites-curator | 从本地已安装的仓库、应用、skill、扩展中构建和维护收藏目录清单 |
| langextract-search | 集成智谱搜索、DuckDuckGo 搜索和多模型结构化提取的完整工作流 |
| metadata-naming | 定义、应用或审查基于元数据的可复用文件命名规范 |
| octocode | AI 驱动的代码索引器,提供语义搜索、知识图谱(GraphRAG)和持久化记忆系统 |
| rtk-rewrite | 拦截 exec 工具调用并委托 rtk rewrite 执行重写以减少 token 消耗 |
| skill-iter | Skill 自迭代能力评审与改进工具,输出结构化评分报告与改进建议 |
| skill-selector | 通用 skill 选择器,通过深度分析构建决策树,引导用户快速选定最合适的 skill |
| skill-yao-manager | Skill 工程化管理工具,支持创建、验证、检查、lint、打包 skill |
# 在 Claude Code 内添加本 marketplace
/plugin marketplace add luw2007/skills
# 安装单个 skill(如 fast-rebase)
/plugin install fast-rebase@luw2007-skills
# 列出可用 skill
npx skills add luw2007/skills --list
# 安装指定 skill
npx skills add luw2007/skills --skill cli-help-layers
npx skills add luw2007/skills --skill exploration-tree
npx skills add luw2007/skills --skill skill-selector
# 安装全部
npx skills add luw2007/skills --all
git clone https://github.com/luw2007/skills.git
cp -r skills/skills/<skill-name> ~/.claude/skills/
MIT License
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npx claudepluginhub luw2007/skills --plugin metadata-namingsquash-merge 后的加速 rebase — 用 MESSAGE+TIME+STATE 三重信号定位 upstream 已合并的本地 commit 并 drop,逐字节校验零代码丢失
CLI 帮助信息分层设计指南 — Usage/Help/Man 三层渐进式披露架构,让 AI Agent 高效解析和调用 CLI 命令
通用探索树 — 树状探索记录框架,采用广度枚举→选易深入→失败回溯交替策略,系统性求解复杂问题
Skill 自迭代评审引擎 — 7 维度评审标准 + 完整工具链,评估并提升 Skill 的自迭代闭环能力
通用 Skill 选择器 — 下载候选源码做深度分析,构建决策树,1-3 轮交互选定最合适的 skill
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