Builds a self-contained multi-source trending / hot-topic Markdown digest for any subject (AI, gaming, crypto, research, news, ...). Pulls fresh content in parallel from X/Twitter, Hacker News, Reddit, GitHub trending, arXiv, 微博 (Weibo), 36kr — plus any new source modules you drop into scripts/sources/. Use this skill whenever the user asks to find trending/hot/popular content on a topic, monitor what people are saying across social media or news sites, build a "top N posts" digest, aggregate AI/tech/research signals into a report, summarize cross-platform discussion, track Chinese (国内) + international (国外) coverage of an event, or curate a multimedia weekly digest with embedded images and videos. Triggers on phrases like "find hot posts about X", "X 热门帖", "trending now on AI", "monitor what people are saying about Z", "整理热点", "AI 资讯汇总", "Twitter + HN + Reddit trending report", "中文 + 英文 热点", "tech news roundup", "summarize discussion across platforms". The skill ships ready-made scrapers for 7 sources and is
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, or extract information from web pages.
Emit HTML reports (not Markdown) when the user asks for a structured report, analysis, plan, status, write-up, or dashboard. Loads a shared CSS shell from references/base-template.html and a 12-layer Claude-report skeleton from references/claude-report.html so output is body-only HTML (~40-55% token saving vs inline-CSS HTML). Use when the user requests: 报告/分析报告/调试报告/实现计划/状态报告/周报/日报/PR write-up/incident report/research explainer/dashboard; OR when output benefits from rich layout (cards, tables, stat bands, timeline, checklist, SVG, diff blocks). Do NOT trigger for: 简单回答/单段解释/纯代码片段/单 table 速查 — Markdown stays cheaper there.
Audit and improve CLAUDE.md files in repositories. Use when user asks to check, audit, update, improve, or fix CLAUDE.md files. Scans for all CLAUDE.md files, evaluates quality against templates, outputs quality report, then makes targeted updates. Also use when the user mentions "CLAUDE.md maintenance" or "project memory optimization".
Use when the user wants to BUILD a UI (page, component, dashboard, landing,
End-to-end methodology for distilling repetitive workflows into reusable automation. Mines conversation history and codebase for repeated patterns, implements project-specific automation, then extracts cross-project universal templates with sanitization and parameterization. Triggers when user mentions identifying repetitive operations, building reusable automation, extracting universal templates, finding what's worth automating, distilling workflows, asks "what can be automated" across a project, or wants to review/retire existing automation.
端到端自动化提炼方法论, 把重复流程蒸馏为可复用自动化。三阶段: 挖掘对话和代码库的重复模式 → 实施项目内自动化 → 提取跨项目通用模板 (含脱敏与参数化)。触发条件: 用户提到识别重复操作、构建可复用自动化、提取通用模板、找出可自动化的环节、流程蒸馏、问"项目里什么能自动化", 或想 review/退役已有自动化。中文版。
记录与追溯多版本数据/实验的派生血缘。用于回答"X 哪来的"、"X 排除了什么"、"X 和 parent 的差异是什么"。Triggers when user asks about data origin, derivation history, audit trail, removal/addition rationale, or completeness verification across versions.