Search and rewrite code by AST structure across 25 languages with ast-grep (sg). Use when the task is structural - find function calls shaped like X, rewrite console.log to logger.info, find all `as any`, migrate require() to import, find empty catch blocks, missing await, codemod a class hierarchy, scan project against YAML rules. Preferred over grep when the user mentions code SHAPE or needs deterministic refactoring across many files. Triggers: 'ast-grep', 'sg', 'ast grep', 'astgrep', 'find all functions that', 'find every call to', 'codemod', 'structural search', 'pattern match code', 'replace pattern across files', 'rename function everywhere', 'find usages of pattern', 'apply this transformation to all', 'migrate X to Y'.
基于 opencli 的智能搜索路由器，根据话题和场景将查询路由到最佳搜索源。当用户需要从网络获取信息时务必使用此技能——包括但不限于：查资料、搜新闻、找帖子、比价格、搜职位、查论文、搜视频、搜天气、查股价、找商品。即使用户没有明确说"用 opencli 搜索"，只要需要网络信息就加载此技能。
将会话内容总结并写入 Obsidian 工作日志或个人日记，管理待办事项。当用户说「记录一下」「保存这个」「记一笔」「总结工作」「更新日志」「写日记」「记录会议」「更新待办」，或会话末尾有多个可记录的事件/结论/决策时，必须加载此技能。工作相关（公司代码开发、方案设计、运维部署、正式会议）用 work 变体；个人方向（技术探索、学习笔记、投资复盘、生活记录、个人开源项目）用 personal 变体。会话末尾有结构化结论、技术选型、部署结果、调研成果时，在结束前主动询问用户是否需要记录。
Audit pi agent skills usage frequency, identify unused skills, and clean up safely. Queries pi session logs for skill invocation records (skill tags + read SKILL.md calls), cross-references against globally installed skills, categorizes by usage into high/medium/low/unused tiers, and drives cleanup via bunx skills remove. Use whenever the user mentions skill management, cleanup, or usage analysis — including "技能使用频率", "哪些技能用的多", "整理技能", "删掉不用的技能", "技能审计", "skill audit", "看看技能", "用哪些技能", "used skills", "unused skills", "清理", "clean up skills". Also use when the user has many installed skills and you suspect some are unused, or when reviewing what skills are worth keeping. This is the go-to skill for any pi skill management task. Not for Hermes agent skills — use audit-hermes-agent-skills instead.
从多个数据源收集用户活动轨迹 → 分析并区分工作与个人内容 → 排版为 PDF → 投递到邮箱。触发词：「发日报」「生成日报」「发我的今天」「今日汇总」「日记 PDF」「每天总结」「保存日志」「生成日报发邮件」。当你发现用户需要做每日回顾、日志汇总、生成日报 PDF 并发送时触发。
Query AI model specifications from the models.dev database. Use when the user asks about model specs (pricing, context limits, capabilities: reasoning, tool_call, modalities), needs API endpoint information for a provider, wants to list what models a provider supports, or compare models across providers. Triggers for questions like "查一下 XXX 支持哪些模型"、"gpt-5 的定价"、 "配置 Trae 用 deepseek 的配置"。
根据 OpenAI 提示词工程最佳实践，帮用户创建和改进 pi 的 prompt template（/命令）。当用户想要「写一个提示词」「改进提示词」「做提示词工程」「创建 prompt template」「写一个 / 命令」，或提到提示词效果不好需要优化时，务必使用此技能。也适用于用户问「怎么让模型输出更好」这类问题。
Free up disk space on Arch Linux WSL through layered cleanup: cache purge, orphan removal, package audit, and large file scanning. Use whenever the user mentions disk space, cleanup, storage, package review, or wants to shrink their WSL footprint — even if they just say "空间不够", "磁盘满了", "WSL 太大了", or "clean up my system". Prefer this skill over ad-hoc cleanup commands on Arch WSL.