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Found 1,025 Skills
Defines a workflow for end-to-end (E2E) testing using browser developer tools, with test cases documented in Markdown files.
Convert a public webpage URL into Markdown and save it as a reusable `.md` file with the bundled script. Prefer `https://r.jina.ai/<url>` first, and only fallback to `https://markdown.new/` if `r.jina.ai` is unavailable. Use this whenever the user wants to turn a public webpage, article, documentation page, blog post, release note, or reference URL into Markdown for reading, archiving, summarizing, extraction, RAG prep, or downstream agent reuse, even if they do not explicitly mention markdown or saving a file.
Converts Markdown to WeChat Official Account HTML using AI-themed layouts and optionally one-click publishes to the draft box. Use when formatting Markdown for WeChat or uploading drafts with WECHAT_APPID/WECHAT_SECRET set in an env file.
Reads PDF files and extracts text content in Markdown format. Handles tables and multi-page documents. Use when needing to read PDF documents. Requires pdfplumber package.
Conduct a full-dimensional in-depth analysis of Amazon competitor Listings, including copywriting logic, review analysis, keyword analysis, market dynamics, etc. Automatically save the analysis as a Markdown report to the reports/ directory. Trigger this when the user uses the /amazon-analyse command with a product ASIN.
Safe bulk editing across multiple Hugo markdown posts: find/replace, frontmatter updates, content transforms with mandatory preview before apply. Use when user needs batch text replacement, bulk frontmatter field changes, heading/link/whitespace normalization, or regex-based content transforms across posts. Use for "batch edit", "find and replace across files", "add field to all posts", "bulk update tags". Do NOT use for single-file edits, structural refactoring, or content generation.
Use markdown.new to fetch web content, convert files, and crawl sites as clean Markdown instead of raw HTML. Trigger this skill whenever you need to read a webpage, fetch URL content, convert a document (PDF, DOCX, XLSX, images, etc.), or crawl a website. This includes any task involving summarizing web pages, extracting content from URLs, ingesting documents, researching topics online, or gathering information from websites. If you're about to fetch HTML from a URL, use markdown.new instead — it returns clean Markdown with 80% fewer tokens.
Load all open issues from GitHub and save them as markdown files
Preview Markdown, LaTeX, PDF, or code artifacts in the browser or as PDF. Use when the user wants to review a written artifact, export a report, or view a rendered document.
Generate guided Chinese software copyright application materials based on real projects. Activate this skill when users inquire about 软件著作权, 软著申请资料, 软著代码材料, 操作手册, 申请表信息, or request Word/TXT materials for software copyright registration. The workflow analyzes the imported project, extracts real source code, creates Markdown drafts for user confirmation, and then uses integrated DOCX tooling to generate the final Word documents and TXT files.
Build and maintain a persistent markdown wiki that an LLM updates on the user's behalf, usually inside an Obsidian vault or git-tracked notes repo. Use when raw sources such as web articles, papers, meeting notes, transcripts, screenshots, or past analyses need to be turned into an interlinked knowledge base with immutable source files, LLM-written wiki pages, `index.md`, `log.md`, schema rules in `AGENTS.md` or `CLAUDE.md`, source summaries, query notes, and recurring lint passes. Triggers on: llm-wiki, personal wiki, obsidian wiki, research vault, knowledge base, source ingest, persistent notes, wiki maintenance, source summaries, query filing.
This skill should be used to search the local Obsidian vault / markdown knowledge base by meaning, not just keywords, using the on-device qmd engine (BM25 + vector + LLM rerank). Trigger when the user asks to "search my vault/notes", "find notes about X", "what do my notes say about Y", "do I have anything on Z", "semantic search my knowledge base", or wants concept/cross-lingual retrieval over markdown. Fully local — nothing leaves the machine.