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Found 183 Skills
Generate a handoff document after implementation work is complete — summarizes changes, risks, and review focus areas for the review pipeline. Use when done coding and ready to hand off for review.
Automatically collect and summarize daily AI industry news, trends, and hot topics from platforms like GitHub (trending repos), X/Twitter (AI influencers/hashtags), and AI news aggregators. Use this skill when the user asks for "today's AI news", "AI industry updates", "what's trending in AI", or wants a daily digest of AI developments.
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.
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.
Curate a Chinese reading digest from a fixed bundle of RSS and Atom feeds, with a strong preference for AI agent thinking, frontier AI commentary, deep interviews, and non-boring high-signal essays. Use when Codex needs to pull the latest week's posts by default, or a specific day's posts when explicitly requested, summarize them, score each article on a 10-point scale, and output only the posts scoring above 7 in a concise Chinese daily-brief style.
Generate high-quality Markdown documents such as weekly reports, work reports, summaries, and introductions. When no draft is provided, search and summarize from the Web; when a draft is provided, organize, polish, and supplement based on the draft. Use this when the user mentions weekly reports, work reports, summaries, introductions, debriefings, or reviews.
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.
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.
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.
Multimodal UI understanding and single-step planning via OpenAI-compatible Responses APIs. Use when you need AIQuery/AIAssert and plan-next to extract UI element coordinates, validate UI assertions, summarize screenshots, or decide the next UI action from an image. External agents handle execution via adb/hdc and multi-step loops. Defaults to Doubao models but can be pointed at other multimodal providers via base URL, API key, and model name.
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.