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---
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name: skill-create
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description: Analyze local git history to extract coding patterns and generate SKILL.md files. Local version of the Skill Creator GitHub App.
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description: 分析本地 Git 历史以提取编码模式并生成 SKILL.md 文件。Skill Creator GitHub App 的本地版本。
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allowed_tools: ["Bash", "Read", "Write", "Grep", "Glob"]
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---
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# /skill-create - Local Skill Generation
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# /skill-create - 本地技能生成（Local Skill Generation）
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Analyze your repository's git history to extract coding patterns and generate SKILL.md files that teach Claude your team's practices.
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分析你仓库的 Git 历史记录以提取编码模式，并生成 SKILL.md 文件，以便让 Claude 学习你团队的工程实践。
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## Usage
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## 用法（Usage）
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```bash
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/skill-create # Analyze current repo
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/skill-create --commits 100 # Analyze last 100 commits
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/skill-create --output ./skills # Custom output directory
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/skill-create --instincts # Also generate instincts for continuous-learning-v2
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/skill-create # 分析当前仓库
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/skill-create --commits 100 # 分析最近 100 条提交
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/skill-create --output ./skills # 指定自定义输出目录
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/skill-create --instincts # 同时为 continuous-learning-v2 生成直觉（instincts）
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```
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## What It Does
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## 功能说明（What It Does）
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1. **Parses Git History** - Analyzes commits, file changes, and patterns
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2. **Detects Patterns** - Identifies recurring workflows and conventions
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3. **Generates SKILL.md** - Creates valid Claude Code skill files
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4. **Optionally Creates Instincts** - For the continuous-learning-v2 system
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1. **解析 Git 历史** - 分析提交（commits）、文件变更和模式。
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2. **检测模式** - 识别循环出现的工作流（Workflow）和约定。
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3. **生成 SKILL.md** - 创建有效的 Claude Code 技能（Skill）文件。
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4. **可选生成直觉（Instincts）** - 用于 continuous-learning-v2 系统。
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## Analysis Steps
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## 分析步骤（Analysis Steps）
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### Step 1: Gather Git Data
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### 第 1 步：收集 Git 数据
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```bash
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# Get recent commits with file changes
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# 获取带有文件变更的近期提交
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git log --oneline -n ${COMMITS:-200} --name-only --pretty=format:"%H|%s|%ad" --date=short
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# Get commit frequency by file
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# 获取按文件统计的提交频率
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git log --oneline -n 200 --name-only | grep -v "^$" | grep -v "^[a-f0-9]" | sort | uniq -c | sort -rn | head -20
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# Get commit message patterns
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# 获取提交信息模式
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git log --oneline -n 200 | cut -d' ' -f2- | head -50
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```
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### Step 2: Detect Patterns
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### 第 2 步：检测模式
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Look for these pattern types:
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寻找以下模式类型：
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| Pattern | Detection Method |
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| 模式 (Pattern) | 检测方法 (Detection Method) |
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|---------|-----------------|
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| **Commit conventions** | Regex on commit messages (feat:, fix:, chore:) |
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| **File co-changes** | Files that always change together |
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| **Workflow sequences** | Repeated file change patterns |
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| **Architecture** | Folder structure and naming conventions |
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| **Testing patterns** | Test file locations, naming, coverage |
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| **提交规范 (Commit conventions)** | 对提交信息使用正则匹配 (feat:, fix:, chore:) |
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| **文件关联变更 (File co-changes)** | 总是同时发生变化的文件 |
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| **工作流序列 (Workflow sequences)** | 重复出现的文件变更模式 |
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| **架构 (Architecture)** | 文件夹结构和命名规范 |
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| **测试模式 (Testing patterns)** | 测试文件位置、命名、覆盖率 |
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### Step 3: Generate SKILL.md
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### 第 3 步：生成 SKILL.md
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Output format:
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输出格式：
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```markdown
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---
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@@ -64,24 +64,24 @@ source: local-git-analysis
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analyzed_commits: {count}
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---
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# {Repo Name} Patterns
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# {Repo Name} 模式
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## Commit Conventions
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{detected commit message patterns}
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## 提交规范
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{检测到的提交信息模式}
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## Code Architecture
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{detected folder structure and organization}
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## 代码架构
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{检测到的文件夹结构和组织方式}
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## Workflows
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{detected repeating file change patterns}
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## 工作流
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{检测到的重复文件变更模式}
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## Testing Patterns
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{detected test conventions}
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## 测试模式
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{检测到的测试约定}
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```
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### Step 4: Generate Instincts (if --instincts)
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### 第 4 步：生成直觉 (如果使用了 --instincts)
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For continuous-learning-v2 integration:
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用于 continuous-learning-v2 集成：
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```yaml
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---
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source: local-repo-analysis
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---
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# Use Conventional Commits
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# 使用约定式提交 (Conventional Commits)
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## Action
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Prefix commits with: feat:, fix:, chore:, docs:, test:, refactor:
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## 操作 (Action)
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在提交信息前添加前缀：feat:, fix:, chore:, docs:, test:, refactor:
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## Evidence
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- Analyzed {n} commits
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- {percentage}% follow conventional commit format
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## 证据 (Evidence)
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- 已分析 {n} 条提交
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- {percentage}% 遵循约定式提交格式
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```
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## Example Output
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## 输出示例
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Running `/skill-create` on a TypeScript project might produce:
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在 TypeScript 项目上运行 `/skill-create` 可能会产生：
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```markdown
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---
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@@ -115,60 +115,60 @@ source: local-git-analysis
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analyzed_commits: 150
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---
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# My App Patterns
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# My App 模式
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## Commit Conventions
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## 提交规范 (Commit Conventions)
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This project uses **conventional commits**:
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- `feat:` - New features
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- `fix:` - Bug fixes
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- `chore:` - Maintenance tasks
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- `docs:` - Documentation updates
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该项目使用 **约定式提交 (conventional commits)**：
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- `feat:` - 新功能
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- `fix:` - 错误修复
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- `chore:` - 维护任务
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- `docs:` - 文档更新
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## Code Architecture
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## 代码架构 (Code Architecture)
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```
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src/
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├── components/ # React components (PascalCase.tsx)
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├── hooks/ # Custom hooks (use*.ts)
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├── utils/ # Utility functions
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├── types/ # TypeScript type definitions
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└── services/ # API and external services
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├── components/ # React 组件 (PascalCase.tsx)
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├── hooks/ # 自定义 Hooks (use*.ts)
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├── utils/ # 工具函数
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├── types/ # TypeScript 类型定义
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└── services/ # API 和外部服务
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```
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## Workflows
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## 工作流 (Workflows)
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### Adding a New Component
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1. Create `src/components/ComponentName.tsx`
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2. Add tests in `src/components/__tests__/ComponentName.test.tsx`
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3. Export from `src/components/index.ts`
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### 添加新组件
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1. 创建 `src/components/ComponentName.tsx`
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2. 在 `src/components/__tests__/ComponentName.test.tsx` 中添加测试
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3. 从 `src/components/index.ts` 导出
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### Database Migration
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1. Modify `src/db/schema.ts`
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2. Run `pnpm db:generate`
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3. Run `pnpm db:migrate`
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### 数据库迁移
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1. 修改 `src/db/schema.ts`
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2. 运行 `pnpm db:generate`
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3. 运行 `pnpm db:migrate`
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## Testing Patterns
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## 测试模式 (Testing patterns)
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- Test files: `__tests__/` directories or `.test.ts` suffix
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- Coverage target: 80%+
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- Framework: Vitest
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- 测试文件：`__tests__/` 目录或 `.test.ts` 后缀
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- 覆盖率目标：80%+
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- 框架：Vitest
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```
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## GitHub App Integration
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## GitHub App 集成
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For advanced features (10k+ commits, team sharing, auto-PRs), use the [Skill Creator GitHub App](https://github.com/apps/skill-creator):
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对于高级功能（1万+ 提交、团队共享、自动 PR），请使用 [Skill Creator GitHub App](https://github.com/apps/skill-creator)：
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- Install: [github.com/apps/skill-creator](https://github.com/apps/skill-creator)
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- Comment `/skill-creator analyze` on any issue
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- Receives PR with generated skills
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- 安装：[github.com/apps/skill-creator](https://github.com/apps/skill-creator)
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- 在任何 Issue 上评论 `/skill-creator analyze`
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- 接收包含生成的技能的 PR
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## Related Commands
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## 相关命令
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- `/instinct-import` - Import generated instincts
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- `/instinct-status` - View learned instincts
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- `/evolve` - Cluster instincts into skills/agents
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- `/instinct-import` - 导入生成的直觉
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- `/instinct-status` - 查看已学习的直觉
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- `/evolve` - 将直觉聚类为技能/智能体
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---
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*Part of [Everything Claude Code](https://github.com/affaan-m/everything-claude-code)*
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*属于 [Everything Claude Code](https://github.com/affaan-m/everything-claude-code) 的一部分*
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