Agent skill
skssearch
搜索 SkillsMP skill 库。当用户描述需求、询问某类 skill 是否存在、或明确搜索时触发。
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/skssearch
SKILL.md
skssearch
关键词生成（最关键）
SkillsMP 只支持英文。关键词生成的核心原则：
像 skill 作者一样思考，而不是像用户一样搜索。 Skill 以「能力」命名，不以「需求」命名。
第一步：提取意图
从用户描述中识别：
- 核心动作：用户想让 skill 做什么？（write / review / generate / analyze / test / format / search...）
- 目标对象：作用在什么上？（readme / code / csv / api / image / pr / commit...）
- 领域/技术栈（如有）：react / python / sql / docker / markdown...
第二步：生成关键词
用 1-2 个词，优先选：
| 策略 | 示例 |
|---|---|
| 动作名词（skill 最常见命名） | reviewer、writer、generator、analyzer |
| 领域词（单词） | csv、testing、readme、documentation |
| 动作+领域（精确时用） | code review、readme writer |
不要用：完整需求描述（help me write project documentation）、实现细节（using langchain to process csv）、中文词（无效）
第三步：选最优关键词
- 优先选覆盖面最广的词（
testing>pytest unit test） - 同一概念有多个英文词时，选 skill 作者最可能用的那个
- 不确定时，选最短的那个
示例
| 用户说的 | 思考过程 | 关键词 |
|---|---|---|
| "帮我找个写 README 的" | 动作=write，对象=readme → skill 作者会叫它 readme writer | readme writer |
| "有没有代码审查的？" | 动作=review，对象=code → 常见名 | code review |
| "我需要处理 CSV 文件" | 对象=csv，动作=process → 领域词更精准 | csv |
| "找个能生成单元测试的" | 动作=generate，对象=test → 领域词 | testing |
| "有 React 相关的吗" | 技术栈=react → 直接用 | react |
| "想找个调试助手" | 动作=debug → 动作名词 | debugging |
执行
确定关键词后，直接运行，不要询问确认：
python3 "$(git rev-parse --show-toplevel 2>/dev/null)/.claude/skills/skssearch/search.py" "<KEYWORD>"
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