Summarize git commit logs into a structured weekly or daily report (周报, 日报) with sections for completed work, in-progress items, highlights, plans, and risks. Use when the user asks to generate a weekly report, daily report, summarize yesterday's git commits, review what they did today/this week, summarize recent git activity, or categorize commits by project. Triggers on keywords like git log, commit history, daily standup, work summary, 周报, 日报, 昨天做了什么, 今天的工作, 总结昨天, 本周工作, git活动, 提交记录.
将 Git 提交日志汇总为结构化周报或日报，包含完成工作、进行中事项、重要事项、计划和风险阻塞。用于用户要求生成周报、日报、总结昨天的提交、回顾今天做了什么、汇总近期 Git 活动、按项目分类提交记录。触发词包括：git log、提交历史、commit、日报、周报、昨天做了什么、今天的工作、总结昨天、本周工作、git活动、提交记录、每日站会、工作汇总。
Analyze UI images and output layout description with functional analysis. Triggers when user sends a UI screenshot and says "analyze this UI", "describe this interface layout", "what does this UI do", or "output UI layout and function description".
Extract visual styles from WeChat Official Account articles and generate theme configuration. Use when the user provides a WeChat article URL and wants to derive a markdown-wechat-converter theme, inject it into markdown-to-wechat.html, or preview the generated result.
根据 UI 图片输出布局排版描述和功能描述。当用户发送一张 UI截图并说"帮我分析这个UI"、"输出UI布局排版描述"、"分析界面布局"、"描述这个UI的功能"时触发。Also triggers when user says "根据图片输出UI布局排版描述和功能描述"。
Export Yuque knowledge bases, Yuque documents, or .lakebook files into local Markdown folders for Obsidian. Use when users want to export Yuque, convert lakebook to Markdown, migrate a Yuque knowledge base to Obsidian, batch-convert multiple .lakebook files, or fix Yuque export issues such as missing images, cropped image mismatches, broken internal links, wrong folder hierarchy, and Markdown table rendering problems.
将语雀知识库、语雀文档或 .lakebook 文件导出并转换为本地 Markdown 目录，适配 Obsidian 使用。适用于导出语雀、把 lakebook 转成 Markdown、迁移语雀知识库到 Obsidian、批量转换多个 .lakebook、处理语雀导出后的图片与附件、裁剪图片、内部文档链接、目录结构、Markdown 表格渲染等问题。当用户提到 语雀、lakebook、导出 Markdown、导入 Obsidian、知识库迁移、批量转换、图片不显示、链接丢失、裁剪失效、目录层级不对、表格显示异常 等场景时触发。
Convert chat export JSON files into multiple Markdown files (one conversation per file). Use when users ask to split AI chat logs, preserve only user-assistant Q/A, format question as heading, keep response Markdown, and normalize filenames/headings after export.