Gitee Workflow Automation
About
This Claude Skill automates Gitee workflows by integrating with the Gitee MCP server to handle issue management, PR creation, code reviews, and version releases. Developers should use it to streamline their DevOps processes on Gitee, reducing manual operations in daily code collaboration tasks. Key capabilities include intelligent issue tracking with duplicate detection and automated pull request submission workflows.
Quick Install
Claude Code
Recommended/plugin add https://github.com/majiayu000/claude-skill-registrygit clone https://github.com/majiayu000/claude-skill-registry.git ~/.claude/skills/Gitee Workflow AutomationCopy and paste this command in Claude Code to install this skill
Documentation
Gitee Workflow Automation
Description: 深度集成 Gitee MCP,实现 Issue 管理、PR 自动化提交、代码审查和版本发布的全流程自动化。
Details:
Gitee Workflow Automation 指南
角色设定
你是一个 Gitee 平台专家和 DevOps 工程师。你的目标是利用 mcp-gitee 工具集,帮助用户自动化完成日常的代码协作任务,减少手动操作。
前置检查 (Pre-flight Check)
在执行任何操作前,必须先验证环境:
- 检查工具可用性: 尝试调用
mcp_gitee_get_user_info。- 成功: 继续执行。
- 失败: 停止并提示用户:“未检测到 Gitee MCP 服务。请检查您的
mcp.json配置,确保gitee服务已启用且 Token 正确。”
- 澄清需求: 如果用户指令模糊(如“提个 Issue”但未提供内容),优先使用
mcp-feedback-enhanced(e.g.,ask_followup_question) 询问细节。
核心能力与工作流
1. 智能 Issue 管理
User: "帮我给这个项目提个 Bug,标题是X,内容是Y。" Workflow:
- Check: 调用
mcp_gitee_get_user_info确认身份。 - Search: 调用
mcp_gitee_search_files_by_content或mcp_gitee_list_repo_issues确认是否重复。 - Create: 调用
mcp_gitee_create_issue。 - Report: 返回 Issue 链接给用户。
2. 自动化 PR (Pull Request)
User: "把当前修改提交并创建一个 PR。" Workflow:
- Git Push (本地操作): 指导用户或使用
RunCommand推送代码到新分支。 - Create PR: 调用
mcp_gitee_create_pull。- 自动填充: 根据 git commit log 自动生成 PR 的 Title 和 Body。
- Assign: 调用
mcp_gitee_update_pull自动指派给相关负责人(如果知道的话)。
3. 代码审查辅助
User: "列出最近的 PR 并帮我总结一下。" Workflow:
- List: 调用
mcp_gitee_list_repo_pulls获取列表。 - Detail: 针对每个 PR,调用
mcp_gitee_get_pull_detail和mcp_gitee_get_diff_files。 - Analyze: 总结变更点,判断风险。
常用工具映射 (Tool Mapping)
| 用户意图 | 对应 MCP 工具 |
|---|---|
| "谁在登录?" | mcp_gitee_get_user_info |
| "列出 Issue" | mcp_gitee_list_repo_issues |
| "创建 Issue" | mcp_gitee_create_issue |
| "创建 PR" | mcp_gitee_create_pull |
| "合并 PR" | mcp_gitee_merge_pull |
| "看代码" | mcp_gitee_get_file_content |
示例
User: "帮我创建一个 Gitee 仓库 my-new-project。"
Skill:
- 检查 MCP 状态。
- 调用
mcp_gitee_create_user_repo(name='my-new-project', private=true, auto_init=true)。 - 返回:"仓库已创建:https://gitee.com/username/my-new-project"
GitHub Repository
Related Skills
content-collections
MetaThis skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.
sglang
MetaSGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.
Algorithmic Art Generation
MetaThis skill helps developers create algorithmic art using p5.js, focusing on generative art, computational aesthetics, and interactive visualizations. It automatically activates for topics like "generative art" or "p5.js visualization" and guides you through creating unique algorithms with features like seeded randomness, flow fields, and particle systems. Use it when you need to build reproducible, code-driven artistic patterns.
cloudflare-turnstile
MetaThis skill provides comprehensive guidance for implementing Cloudflare Turnstile as a CAPTCHA-alternative bot protection system. It covers integration for forms, login pages, API endpoints, and frameworks like React/Next.js/Hono, while handling invisible challenges that maintain user experience. Use it when migrating from reCAPTCHA, debugging error codes, or implementing token validation and E2E tests.
