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Found 98 Skills
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.
Universal content grabber — fetch any URL and return structured Markdown. Supports X/Twitter, WeChat, Xiaohongshu, YouTube, GitHub, Feishu/Lark, Bilibili, Telegram, RSS, and any web page. Use when user provides a URL and wants its content extracted.
Fetch any URL and convert to markdown using baoyu-fetch CLI (Chrome CDP with site-specific adapters). Built-in adapters for X/Twitter, YouTube transcripts, Hacker News threads, and generic pages via Defuddle. Handles login/CAPTCHA via interaction wait modes. Use when user wants to save a webpage as markdown.
Use when converting PDFs, DOCX, HTML, scanned papers, reports, proposals, tables, or figures into Markdown, text, extracted assets, or quality reports for an academic research repository.
Use when writing or formatting Jira descriptions, comments, or any text destined for Jira. Converts Markdown to Jira wiki markup, provides templates (bug reports, feature requests), and validates syntax before submission. Trigger on any Jira content authoring task.
Parse PDFs locally (CPU) into Markdown/JSON using MinerU. Assumes MinerU creates per‑doc output folders; supports table/image extraction.
Fetch and parse WeChat Official Account articles. Extract titles, authors, official account names, main content, images and metadata from WeChat article links. It is used when users provide WeChat article links (mp.weixin.qq.com/s/...) and want to read, extract, download or convert article content. Applicable scenarios include obtaining/downloading WeChat articles, extracting text or metadata from WeChat articles, converting WeChat articles to Markdown, and saving WeChat articles along with images locally. Keywords: WeChat Official Account, article acquisition, article scraping, article download.
Fetch and extract web content as clean Markdown when provided with URLs. Use this skill whenever a user provides a URL (http/https link) that needs to be read, analyzed, summarized, or extracted. Converts web pages to Markdown with 80% fewer tokens than raw HTML. Handles all content types including JS-heavy sites, documentation, articles, and blog posts. Supports three conversion methods (auto, AI, browser rendering). Always use this instead of web_fetch when working with URLs - it's more efficient and provides cleaner output.
Convert files, URLs, and media to markdown using the markit-ai CLI and SDK with pluggable converters and LLM support.
This skill helps users automatically extract complete Markdown content from any website via the BrowserAct Web Search Scraper API. The Agent should proactively apply this skill when users express needs like extract complete markdown from a specific website, scrape the content of an article link, get the text from a target url, convert a webpage to markdown format, fetch the main content of a blog post, extract data from a given web page, parse the html of a website into markdown, download the readable text from a news article, obtain the content of a tutorial page, extract all the markdown text from any http or https url, scrape documentation from a web link, or grab the text of a single webpage.
Visit a webpage and extract its content as markdown, or fetch images. Use for reading articles, documentation, or any web page content. Handles both HTML pages (via Jina Reader) and image URLs (downloads and saves locally).
Parse PDF into Markdown/JSON/DOCX using MinerU API. Extract text, tables, formulas with OCR support. Use when converting PDF documents, extracting content from scanned papers, or batch processing PDF files.