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Found 1,025 Skills
Converts Markdown files (.md, .markdown) to DOCX using the markdown-docx npm package. Supports single and batch conversions, automatically generates output filenames, and creates Microsoft Word documents from Markdown content.
Create and edit rich text message drafts for Gmail, Outlook, and WhatsApp. Writes Markdown fragments and assembles platform-specific HTML via build script. Use when writing emails, drafting emails, composing replies, sending messages, writing WhatsApp messages, sending Gmail messages, replying via email, or when user mentions Gmail, Outlook, WhatsApp, email client, "email to", "reply to", "draft an email", "write an email", "send a message", "message to", "WhatsApp to", or professional correspondence.
Adds a complete blog feature to an existing Blazor WebAssembly Static Web App with Azure Functions backend and Azure File Share for markdown storage. Use when implementing blog functionality in .NET Blazor WASM projects with Azure infrastructure. Includes post listing, detail pages, markdown rendering, Azure Storage integration.
Scaffold a LaTeX project (`latex/main.tex`, bibliography wiring, structure) from an existing Markdown draft and `citations/ref.bib`. **Trigger**: latex scaffold, md→tex, LaTeX 项目骨架, 生成 main.tex. **Use when**: 需要 LaTeX/PDF 交付（例如 arxiv-survey-latex pipeline），且 draft 已生成/已进入写作阶段。 **Skip if**: 还没有 `output/DRAFT.md`（或你不需要 LaTeX 交付）。 **Network**: none. **Guardrail**: 移除 markdown 残留（`##`, `**`, `[@...]`）；bibliography 指向 `citations/ref.bib`；不在此步骤改写内容。
Convert EPUB books to high-quality formatted Markdown using pandoc and AI-assisted formatting. Use when the user provides an EPUB file path and wants to convert it to professionally formatted Markdown, similar to the Clean Code Collection formatting. This skill handles the complete workflow from EPUB extraction through AI-driven content formatting, including fixing PDF conversion artifacts, joining split paragraphs, correcting code blocks, standardizing headers, and creating proper Table of Contents.
This skill should be used when the user asks to write, edit, review, or improve Markdown content (README, docs, changelog, guides), or needs Markdown formatting, syntax help, or advanced patterns (tables, callouts, task lists, mermaid, details/summary, footnotes).
Production-grade PDF rendering engine. Converts markdown content into professionally typeset PDF documents using brand kit assets. Handles page composition, typography, grid layout, content flow, tables, code blocks, and images. This skill should be used whenever generating PDF documents, reports, proposals, or any paginated output. It triggers on requests mentioning PDF generation, document rendering, report creation, or paginated output. Requires a brand-* kit skill for branded output; falls back to minimal defaults without one.
Generate well-formatted markdown tables from data. Use when creating documentation tables or formatting tabular data.
Writing and authoring Quarto documents (.qmd), including code cell options, figure and table captions, cross-references, callout blocks (notes, warnings, tips), citations and bibliography, page layout and columns, Mermaid diagrams, YAML metadata configuration, and Quarto extensions. Also covers converting and migrating R Markdown (.Rmd), bookdown, blogdown, xaringan, and distill projects to Quarto, and creating Quarto websites, books, presentations, and reports.
Fetch any URL and convert to markdown using Chrome CDP. Supports two modes - auto-capture on page load, or wait for user signal (for pages requiring login). Use when user wants to save a webpage as markdown.
Converts Markdown to styled HTML with WeChat-compatible themes. Supports code highlighting, math, PlantUML, footnotes, alerts, and infographics. Use when user asks for "markdown to html", "convert md to html", "md转html", or needs styled HTML output from markdown.
Use the official MinerU (mineru.net) parsing API to convert a URL (HTML pages like WeChat articles, or direct PDF/Office/image links) into clean Markdown + structured outputs. Use when web_fetch/browser can’t access or extracts messy content, and you want higher-fidelity parsing (layout/table/formula/OCR).