analyze-pr
分析GitHub/GitLab的Pull Request,拉取代码获取diff,读取PR网页描述,生成综合分析文档。当用户提供PR链接并要求分析、审查或总结PR时使用。
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Menu
分析GitHub/GitLab的Pull Request,拉取代码获取diff,读取PR网页描述,生成综合分析文档。当用户提供PR链接并要求分析、审查或总结PR时使用。
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
分析GitHub/GitLab的Pull Request,拉取代码获取diff,读取PR网页描述,生成综合分析文档。当用户提供PR链接并要求分析、审查或总结PR时使用。
# Copy this command into Claude Code to install this skill
/plugin add https://github.com/magic3007/dotfiles/tree/master/claude/project_skills/analyze-pr
For more information, visit the GitHub repository.
Capture a multi-step workflow into a timestamped pipeline memory after trial-and-error sessions. The core output is: (1) the final working commands saved as executable scripts (not bare shell commands), and (2) a structured markdown document separating the clean reproducible pipeline from the detours and pitfalls. Timestamped snapshots live in pipeline_memory/; mature pipelines can be promoted to PIPELINE.md and auto-loaded. Fully environment-agnostic — works for any project, any toolset, any domain. Use when the user finishes a multi-step task, says "保存工作流记忆", "save pipeline memory", "记录一下当前进展", or "/save-pipeline-memory". Takes an optional folder path.
Run Claude Code commands (including /insights, /doctor, custom prompts) via system crontab in non-interactive mode. Use when: (1) setting up daily/weekly automated Claude Code tasks, (2) scheduling reports or analysis via cron, (3) running Claude Code with third-party API backends (DeepSeek, Qwen, etc.) in headless environments, (4) "set up a daily report", "automate this in cron", "schedule insights". Covers: cron PATH setup, third-party API env vars for non-interactive mode, nvm/node auto-discovery, and wechat-reminder integration for notification delivery.
Use when the user wants to *learn* or *understand* a technical concept (an algorithm, a math derivation, an ML architecture, a systems internal) rather than just get a one-shot answer — triggers include "explain X", "teach me X", "help me understand X", or being stuck on a concept while reading a paper or code. Probe the user's level with a few questions FIRST, then teach interactively through a runnable Jupyter notebook with LaTeX derivations and small experiments.
Claudeception is a continuous learning system that extracts reusable knowledge from work sessions. Triggers: (1) /claudeception command to review session learnings, (2) "save this as a skill" or "extract a skill from this", (3) "what did we learn?", (4) After any task involving non-obvious debugging, workarounds, or trial-and-error discovery. Creates new Claude Code skills when valuable, reusable knowledge is identified.
Record a debugging session's findings into a timestamped markdown file under debug_experience/. Captures problem, root cause, solution, and key learnings in a structured, reusable format. Use when: you've just resolved a non-obvious bug, found an undocumented edge case, encountered an issue that took multiple attempts to fix, or when you say things like "保存调试经验", "save debug experience", "记录这次调试", "/save-debug-experience". Takes an optional folder path as argument.
MCP Notion工具使用指南,包含常见问题解决方案和最佳实践。使用当: (1) 访问Notion数据库view URL出现"URL type view not currently supported"错误, (2) 需要获取数据库schema和表结构信息, (3) 查询数据库中的条目内容, (4) 创建页面时MULTI_SELECT字段值不存在导致失败, (5) 需要更新数据库schema添加新选项, (6) 开发需要集成Notion数据的自动化工作流, (7) query_data_sources/query-database-view返回Business Plan要求错误, (8) 需要在无Business Plan的情况下枚举数据库所有条目。