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Interactive prompt refinement workflow: interrogates scope, deliverables, constraints; copies final markdown to clipboard; never writes code. Requires the Joyride extension.
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Convert a text-based document to markdown following instructions from prompt, or if a documented option is passed, follow the instructions for that option.
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Transform this Python script into a polished, beginner-friendly project by refactoring the code, adding clear instructional comments, and generating a complete markdown tutorial.
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Plan mode: write an actionable markdown plan to .hermes/plans/, no execution. Bite-sized tasks, exact paths, complete code.
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Notion API + ntn CLI: pages, databases, markdown, Workers.
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把公众号文章、Markdown、笔记、文档或长文本拆成适合小红书/小绿书的完整发布包。先分析全文、论证关系和模块覆盖，输出含完整逐卡文案、布局 ID、3～5 个标题建议与发布正文的确认方案；确认后生成可逐元素编辑、移动、缩放、切换整套或单卡主题、编辑发布文案并导出 1080x1440 PNG 的独立 HTML。也适用于复用已有拆分方案或 v1/v2 卡片 JSON。
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Documentation and narrative content. USE FOR: writing docs; markdown files; storybook stories; vitepress guides; API documentation. DO NOT USE FOR: production code changes (use code-implementation skill); tests (use test-writing skill); commit conventions (use commit-conventions skill).
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Documentation and narrative content for create-vue-dsfr. Use for markdown files, Storybook stories, VitePress guides, component documentation, and API documentation. Read the shared project skill before acting.
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Creates professional PDF whitepapers from Markdown files. Use when the user wants to create a whitepaper, technical document, or PDF with professional formatting and typography.
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Comprehensive dimension analysis and reporting for CJA. Use this skill whenever the user wants to analyze one or more dimensions — including cardinality, distribution/skew, trends, anomalies, data quality errors, comparisons, and forecasting. Also trigger when someone asks "what are the top values for...", "dimension health", "explore this dimension", "dimension dashboard", "dimension statistics", "data quality check on a dimension", "dimension cardinality", "dimension trends", "dimension skew", "dimension anomalies", "compare dimensions", or any similar request to understand what's inside a CJA dimension. Produces an interactive HTML dashboard or a markdown report. Works with the CJA MCP server.
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Creates a new blog post as a local Markdown file with YAML frontmatter in content/blog/. Use when the user wants to write, draft, or create a new blog post.
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Creates Mermaid diagrams for flowcharts, sequence diagrams, ERDs, and architecture visualizations in markdown. Use when users request "Mermaid diagram", "flowchart", "sequence diagram", "ERD diagram", or "architecture diagram".
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Convert raw notes, error logs, voice dictation, or screenshots into crisp GitHub-flavored markdown issue reports. Use when the user pastes bug info, error messages, or informal descriptions and wants a structured GitHub issue. Supports images/GIFs for visual evidence.
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Read, write, edit, and format Excel files (.xlsx). Create spreadsheets, manipulate data, apply formatting, manage sheets, merge cells, find/replace, and export to CSV/JSON/Markdown. Use for any Excel file manipulation task.
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基于预设 URL 列表抓取内容，筛选高质量技术信息并生成每日 Markdown 报告。
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Generate professional PDFs from Markdown using Pandoc and LaTeX with AI-powered content generation. Creates whitepapers, term sheets, memos, agreements, SAFEs, NDAs, and more.
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Creates professional invoices in markdown and HTML
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一键发布 Markdown 到微信公众号草稿箱。基于 wenyan-cli，支持多主题、代码高亮、图片自动上传。
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X Intelligence CLI — search, analyze, and engage on X/Twitter from the terminal. Use when: (1) user says "x research", "search x for", "search twitter for", "what are people saying about", "what's twitter saying", "check x for", "x search", "search x", "find tweets about", "monitor x for", "track followers", (2) user is working on something where recent X discourse would provide useful context (new library releases, API changes, product launches, cultural events, industry drama), (3) user wants to find what devs/experts/community thinks about a topic, (4) user needs real-time monitoring ("watch"), (5) user wants AI-powered analysis ("analyze", "sentiment", "report"). Also supports: bookmarks, likes, following (read/write), trending topics, Grok AI analysis, and cost tracking. Export as JSON, JSONL (pipeable), CSV, or Markdown. Non-goals: Not for posting tweets, not for DMs, not for enterprise features. Requires OAuth for user-context operations (bookmarks, likes, following, diff).
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Converts the learning Markdown into a standalone, split-screen interactive HTML page. Left pane for EN/CN text, right pane for deep linguistic analysis.
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Download an entire website as local files — markdown, screenshots, or multiple formats per page. Use this skill when the user wants to save a site locally, download documentation for offline use, bulk-save pages as files, or says "download the site", "save as local files", "offline copy", "download all the docs", or "save for reference". Combines site mapping and scraping into organized local directories.
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Web search with full page content extraction. Use this skill whenever the user asks to search the web, find articles, research a topic, look something up, find recent news, discover sources, or says "search for", "find me", "look up", "what are people saying about", or "find articles about". Returns real search results with optional full-page markdown — not just snippets. Provides capabilities beyond Claude's built-in WebSearch.
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Analyze any codebase's source code in depth and produce structured analysis documents saved as markdown files. Use this skill whenever the user asks to understand how a codebase works — architecture, module design, call flows, data models, design patterns, performance characteristics, or any implementation detail. Trigger on phrases like "analyze the source", "explain this code", "how does X work", "where is Y implemented", "trace the flow of", "what happens when", "read through the code", "code walkthrough", "源码分析", "代码解读", "实现原理", "架构分析", "调用链路", "模块分析", or any code-exploration request. Works with any programming language: TypeScript/JavaScript, Java, Python, Go, Rust, C/C++, and more. Even if the user's question seems simple (e.g., "这个文件是干什么的"), use this skill — a thorough, source-backed analysis document is always more valuable than a surface-level guess.
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Weekly pipeline metrics, forecast, and trend dashboard in structured markdown
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