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Found 262 Skills
Fetch a YouTube transcript and generate an executive summary, key points, and timestamped topic list as a polished HTML report. Activate on YouTube URLs or requests like "summarize this video", "what's this about", "give me the highlights", "TL;DR this", "digest this video", "watch this for me", "I watched this and want a breakdown", or "make notes on this talk". Supports non-English videos, language selection, and yt-dlp enrichment for chapters, video description, and richer metadata.
Generates Mermaid mindmap diagrams from codebases, topics, files, or conversations. Visually summarizes source material as branching diagrams. Use when asked to create a Mermaid mind map, visualize a topic, map out a codebase, summarize a file as a diagram, generate a concept map, or create a visual overview.
Help users study research papers with Paper Breakdown. Use when the user wants to study, understand, ask questions about, summarize, or analyze a paper with Paper Breakdown, including requests like "I want to study paper P with Paper Breakdown", "help me read this paper in PaperBD", "use Paper Breakdown for this arXiv paper", or similar requests about looking up a paper, finding its arXiv ID, checking access in the paperbd CLI, and then answering questions about the paper.
Fetch and analyze content from one or more URLs using AI (Gemini 2.5 Flash). Use when you have specific URLs and need to extract or summarize their content. Pairs well with `nansen web search` results.
Search and analyze research papers, find related work, summarize key ideas. Use when user says "find papers", "related work", "literature review", "what does this paper say", or needs to understand academic papers.
Analyze codebases from the bottom up and generate a hierarchical README.md document tree. Start analysis from leaf directories, generate README.md files for each directory containing one-sentence descriptions of files, classes, and functions, and summarize layer by layer upwards to form a complete codebase documentation system. Supports state persistence and resumable analysis, suitable for scenarios such as understanding new projects, generating technical documentation, and analyzing code structures. Use this skill when you need to understand codebase structures, analyze function implementations, or generate code documentation.
Turn many commits into a curated grouped squash summary compatible with the opinionated wording style of git-visual-commits. Use this skill whenever the user asks to squash a branch into a concise summary, write a squash-and-merge summary, summarize a commit range or PR as grouped lines, clean up noisy commit history, or asks for a curated summary without committing. Treat phrases like "squash summary", "squash commit message", "summarize this branch", "turn these commits into one summary", "rewrite these 10+ commits", or "draft the squash summary" as automatic triggers. This skill is non-mutating: it inspects git history and diffs, then returns grouped summary lines only. It preserves technical identifiers where possible, groups by intent rather than chronology, merges overlapping commits, drops low-signal noise, uses strong concrete verbs, favors readable GitHub and terminal output, keeps every output line at or below 72 characters, and does not invent unsupported changes or drift into changelog wording.
Fetches web pages and converts them to clean markdown using a robust 3-tier chain (Firecrawl → Jina Reader → Scrapling stealth browser). Use this skill instead of WebFetch whenever the user provides a URL and needs the page's text content — especially for sites that block direct access: medium.com articles (paywalled/metered), WeChat public accounts (mp.weixin.qq.com, geo-restricted), documentation sites with bot protection, or any page where simple HTTP fetching might return a CAPTCHA or empty page. Triggers for: "read this URL", "summarize this article/page", "grab the content from", "extract text from", "what does this page say", "fetch this link", or any request to access and process a specific web page. Do NOT trigger for: building scrapers, checking HTTP status codes, parsing already-downloaded HTML files, answering conceptual questions about scraping tools, or monitoring page changes.
Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user shares a Hugging Face paper page URL, an arXiv URL or ID, or asks to summarize, explain, or analyze an AI research paper.
General Technical Design Document Summarization Skill: Scan documents and diagrams in the current execution directory (Markdown, PlantUML/Mermaid, drawio, images, etc.), extract system objectives, module boundaries, core processes, sequences and states, and output structured technical design documents. Use this skill when users mention "technical design documents", "solution sorting", "summarize design based on existing documents", "summarize documents and diagrams in the directory", or "complete sequence diagrams/state diagrams".
Retrieve, summarize, and inspect documents indexed by Glean. Use when getting document content, summaries, permissions, or metadata by URL.
Fetch recent YouTube channel videos via RSS, filter out Shorts, get metadata and transcripts, AI-summarize, and upsert into a Notion database. Supports multiple channels. Triggers on "youtube channel summary", "channel summary to notion", "youtube rss to notion", "summarize youtube channel", "youtube channel notion sync".