The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 870 files from 1 769 authors, of which 62 217 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
Use this skill to track institutional investor ownership changes and portfolio flows using 13F filings data. Analyzes hedge funds, mutual funds, and other institutional holders to identify stocks with significant smart money accumulation or distribution. Helps discover stocks before major moves by following where sophisticated investors are deploying capital.
This skill should be used when analyzing recent market-moving news events and their impact on equity markets and commodities. Use this skill when the user requests analysis of major financial news from the past 10 days, wants to understand market reactions to monetary policy decisions (FOMC, ECB, BOJ), needs assessment of geopolitical events' impact on commodities, or requires comprehensive review of earnings announcements from mega-cap stocks. The skill automatically collects news using WebSearch/WebFetch tools and produces impact-ranked analysis reports. All analysis thinking and output are conducted in English.
| ニュースヘッドラインを入力として18ヶ月シナリオを分析するスキル。 scenario-analystエージェントで主分析を実行し、 strategy-reviewerエージェントでセカンドオピニオンを取得。 1次・2次・3次影響、推奨銘柄、レビューを含む包括的レポートを日本語で生成。
スタンレー・ドラッケンミラーの投資哲学と戦略に基づいた投資アドバイスを提供。30年間無敗、年率30%近いリターンを達成した伝説的投資家の思考法を活用し、マクロ経済分析、リスク管理、ポジション構築、市場サイクルの読み方などについて実践的な指導を行う。投資判断、市場分析、リスク管理、ポートフォリオ構築などの相談時に使用。
This skill should be used when analyzing sector and industry performance charts to assess market positioning and rotation patterns. Use this skill when the user provides performance chart images (1-week or 1-month timeframes) for sectors or industries and requests market cycle assessment, sector rotation analysis, or strategic positioning recommendations based on performance data. All analysis and output are conducted in English.
| Shioaji Taiwan financial trading API guide. Use when trading stocks/futures/options on Taiwan markets, subscribing to real-time market data, querying account info, or building automated trading systems. Shioaji 台灣金融交易 API 指南。適用於:股票/期貨/選擇權交易、即時行情訂閱、帳務查詢、自動交易系統開發。
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs. Use this skill when the user provides chart images and requests technical analysis, trend identification, support/resistance levels, scenario planning, or probability assessments based purely on chart data without consideration of news or fundamental factors.
Filter and screen stocks by financial metrics like P/E ratio, market cap, dividend yield, and growth rates. Analyze and compare stocks from CSV data.
Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.
Screen US stocks for high-quality dividend opportunities combining value characteristics (P/E ratio under 20, P/B ratio under 2), attractive yields (3% or higher), and consistent growth (dividend/revenue/EPS trending up over 3 years). Supports two-stage screening using FINVIZ Elite API for efficient pre-filtering followed by FMP API for detailed analysis. Use when user requests dividend stock screening, income portfolio ideas, or quality value stocks with strong fundamentals.
This skill should be used when analyzing market breadth charts, specifically the S&P 500 Breadth Index (200-Day MA based) and the US Stock Market Uptrend Stock Ratio charts. Use this skill when the user provides breadth chart images for analysis, requests market breadth assessment, positioning strategy recommendations, or wants to understand medium-term strategic and short-term tactical market outlook based on breadth indicators. All analysis and output are conducted in English.
提供获取用户自选分组(LongPort)、股票市场数据(LongPort + AkShare)、技术指标计算(ta-lib)的技能。分析数并与用户研究交易策略,形成买卖点建议,并可做回测、寻优与报告输出。
Extract color palettes from images, websites, or designs. Identifies dominant colors, generates complementary schemes, and exports in multiple formats (HEX, RGB, HSL, Tailwind, CSS variables). Use when users need color schemes from images, brand colors, or design system palettes.
Create beautiful infographics based on the given text content. Use this when users request creating infographics.
Extracts Mermaid diagrams from markdown files and generates high-quality PNG images using bundled scripts. Activates when working with Mermaid diagrams, converting diagrams to PNG, extracting diagrams from markdown, or processing markdown files with embedded Mermaid code.
Generate images using Google's Nano Banana Pro (gemini-3-pro-image-preview). Accepts text prompts and optionally images (for editing/transformation) as INPUT. Returns generated IMAGES as OUTPUT. Use when user asks to create, generate, edit, or draw images, infographics, visualizations, diagrams, charts, or illustrations. Excellent for data-accurate infographics and text rendering.
Source royalty-free images and videos from Pexels API for design, placeholders, or content. Supports search, curated/popular content, collections, multiple resolutions, and ALWAYS creates detailed sidecar metadata files.
Structure compelling presentations with clear narratives and visual suggestions
Creates Slidev markdown presentations for developers. Activates for: slides with code highlighting, technical talks, conference presentations, workshop materials, live coding decks, or markdown-based slides. Not for PowerPoint/Google Slides or non-presentation documents.
Comprehensive guide for Slidev - a web-based presentation framework for developers. Covers Markdown syntax, layouts, components, animations, theming, and exporting. Use this skill when creating or working with developer presentations using Slidev.
Transcribe audio and video from URLs (YouTube, direct media links) using WhisperKit locally. Optionally analyze transcripts with AI when explicitly requested. Use when users provide URLs to media content and request transcription or speech-to-text conversion.
Fetch transcripts from YouTube videos for summarization and analysis.
Processes Drafts Pro captures from the Inbox folder. Classifies by intent, shows preview for approval, routes to Ready as tasks. Use when triaging captures, processing mobile notes, or as part of daily review. Triggers on "triage captures", "process captures", "check my captures".
Instagram Graph API integration via curl. Use this skill to fetch and publish Instagram media.
Video/audio/image processing with FFmpeg and ImageMagick. Tools: FFmpeg (video/audio), ImageMagick (images). Capabilities: format conversion, encoding (H.264/H.265/VP9/AV1), streaming (HLS/DASH), filters, effects, thumbnails, watermarks, batch processing, hardware acceleration (NVENC/QSV). Actions: convert, encode, resize, crop, compress, extract, merge, stream, transcode media. Keywords: FFmpeg, ImageMagick, video encoding, audio extraction, image resize, thumbnail, watermark, HLS, DASH, H.264, H.265, VP9, AV1, codec, bitrate, framerate, resolution, aspect ratio, filter, overlay, concat, trim, fade, batch processing. Use when: converting video/audio formats, encoding with specific codecs, generating thumbnails, creating streaming manifests, extracting audio from video, batch processing images, adding watermarks, optimizing file sizes.
n8n workflow automation knowledge base. Provides n8n node information, node functionality details, workflow patterns, and configuration examples. Covers triggers, data transformation, data input/output, AI integration, covering 10 nodes. Keywords: n8n, workflow, automation, node, trigger, webhook, http request, database, ai agent.
Convert long-form videos into short-form content for TikTok, YouTube Shorts, and Instagram Reels. Identifies viral moments, creates hooks, and adapts scripts for vertical format. Use when repurposing videos, creating Shorts from long videos, or planning multi-platform content.
PostHog analytics, event tracking, feature flags, dashboards
SerpApi search engine results API via curl. Use this skill to scrape Google, Bing, YouTube, and other search engines.
Generate professional sponsorship pitches and media kits for brands. Creates compelling proposals highlighting channel value, audience demographics, and collaboration ideas. Use when seeking sponsorships, responding to brand inquiries, or creating media kits.
Translate video subtitles (SRT, VTT, TXT) between languages. Supports batch translation and maintains timing synchronization. Use when creating multilingual subtitles, expanding to international audiences, or translating video transcripts.
Unified content extraction and action planning. Use when user says "tapestry <URL>", "weave <URL>", "help me plan <URL>", "extract and plan <URL>", "make this actionable <URL>", or similar phrases indicating they want to extract content and create an action plan. Automatically detects content type (YouTube video, article, PDF) and processes accordingly.
Generate thumbnail concepts and ideas for YouTube, TikTok, and other video platforms. Creates detailed visual briefs with composition, text, colors, and emotion suggestions. Use when planning thumbnails, improving CTR, or briefing designers.
Interpret YouTube Analytics, TikTok Analytics, and video performance data. Identifies trends, explains metrics, and provides actionable recommendations for growth. Use when analyzing video performance, understanding metrics, or optimizing channel strategy.
Generate attention-grabbing hooks for the first 3 seconds of videos. The hook determines if viewers stay or scroll. Creates multiple hook variations for A/B testing. Use when crafting video openings, improving retention, or creating scroll-stopping content for YouTube, TikTok, or Reels.
将视频脚本转换为更适合实际录制的口语化表达,去除书面化语言,增加自然感和亲和力。当用户提到"视频脚本"、"录制"、"口语化"、"自然一点"、"像说话一样"、"太书面了"时使用此技能。
Write engaging video scripts for YouTube, TikTok, and other platforms. Creates complete scripts with hooks, main content, and CTAs. Supports various formats including tutorials, vlogs, reviews, explainers, and storytelling. Use when creating video scripts, writing YouTube content, or planning video structure.
Optimize video titles for maximum click-through rate (CTR) and YouTube/TikTok SEO. Generates multiple title variations balancing curiosity, keywords, and platform best practices. Use when naming videos, improving CTR, or A/B testing titles.
Convert video clips to optimized GIFs with speed control, cropping, text overlays, and file size optimization. Create perfect GIFs for social media, documentation, and presentations.
Content web architecture framework. Use when diagnosing offer doc usage, content-to-conversion pathways, or why someone isn't getting sales despite traffic.
Optimize YouTube videos for search and discovery. Generates SEO-optimized titles, descriptions, tags, hashtags, and chapters. Includes keyword research and competitor analysis. Use when publishing videos, improving discoverability, or optimizing existing content.
Use when user asks YouTube video extraction, get, fetch, transcripts, subtitles, or captions. Writes video details and transcription into structured markdown file.
> Jetpack Compose and Compose Multiplatform (KMP/CMP) architecture skill. Only use when the user explicitly mentions "compose-skill", "@compose-skill", or "use compose skill" in their message. Do NOT auto-activate based on keyword matching — this skill should only be triggered by direct user request.
Create architecture diagrams from a local codebase or system description. Use when the user asks to diagram a repo, map system architecture, show component relationships, create drill-down views, or explain a system visually with tld.
NSFC申请书撰写指南。覆盖选题、摘要、立项依据、研究内容、研究方案、创新性、可行性分析等各部分的写作技巧与模板。适用于青年C、面上、重点等项目类型。
NSFC 2026年度申报政策速查。包含限项规定、AI使用规范、申请代码说明、项目类型定位、申请书结构改革等关键政策信息。
NSFC申请书图表制作指南。指导如何制作概念图、技术路线图、研究内容关系图、研究基础展示图等。包含Mermaid/Python代码模板和设计原则。
NSFC申请书文献检索与引用生成。使用OpenAlex API免费搜索学术文献,使用wenxian生成标准引用格式。
Generates production-ready FastGPT workflow JSON from natural language requirements. Uses AI-powered semantic template matching from built-in workflows (document translation, sales training, resume screening, financial news). Performs three-layer validation (format, connections, logic completeness). Supports incremental modifications to add/remove/modify nodes. Activates when user asks to "create FastGPT workflow", "generate workflow JSON", "design FastGPT application", or mentions workflow automation, multi-agent systems, or FastGPT templates.
基于本地 git diff 的代码审查技能。用于在提交 PR 前先做自检评审,严格复用 pr-review 的三维度标准(代码质量标准、FastGPT 风格规范、常见问题清单),支持审查未暂存改动、已暂存改动、某次提交、或当前分支相对基线分支的全部改动。
Guides Claude in creating well-structured SKILL.md files following best practices. Provides clear guidelines for naming, structure, and content organization to make skills easy to discover and execute.
根据真实代码仓库、官网页面、运行界面、模块范围和目标软著数量,分析软件著作权(软著)申报方向,拆分可申报主题,检查 Logo、版权、备案、截图和源码等材料约束,生成 3w-4w 字正文、局部代码片段、源码原文、网页截图证据和 .docx 文档。Use when Claude needs to prepare or split legitimate software copyright registration materials from code repositories, product pages, running UI screenshots, module scopes, or source evidence.
Create original relaxed black-pen graphics from concepts or visual references, including sparse illustrations, narrative scenes, animals, objects, abstract relationships, icons, and logo marks. Use when the user wants quick hand-drawn line energy, causal story staging, non-equilibrium proportion, shorthand forms, open contours, structural line drift, misregistered junctions, selective retracing, physical pen texture, or a transferable illustration system that must not collapse into clean vector minimalism or polished period-sketch drawing.
Voice/audio cleanup step of the AI Video Editor pipeline — diagnose a video's background noise, pick the right denoise method, and produce a cleaned master (voice isolated, levels preserved, video stream copied). Use when the user wants to "clean the audio / voice", "remove background noise", "denoise", "isolate voice", fix outdoor/room/water/hum/hiss noise, run ElevenLabs Voice Isolator or local RNNoise, A/B denoise methods, or produce a cleaned master for a video-N in this repo. Covers diagnosing the noise (spectrogram + levels), choosing eleven vs rnnoise by noise type, the sample A/B, tools/clean_voice.py, preserving levels (RMS-match, not LUFS), and rewiring the pipeline to the clean master. Not the SFX/music mix (that is /suggest-sfx + the final-mix step) and not the cut (that is /clean-cut).
Makes this repo's videos look like YOUR channel instead of the house default — interviews you for palette, fonts, wordmark, motion energy, delivery specs and SFX taste, then rewrites brand.md + remotion/src/brand.ts + remotion/src/fonts.ts together and renders a proof card so you SEE it. Use whenever the user wants to set up or change their brand, rebrand the repo, "make it my colors/fonts", change the accent color, set their wordmark, adjust the motion feel, or asks why their videos look like someone else's. Run it once before the first video. Not for per-video art direction (that is /make-tsx) and not for thumbnails, which are deliberately louder than the brand (that is /packaging).
Dedicated YouTube thumbnail generator — interviews you for exactly the style elements you want (environment, text budget, extras, accent color), then renders high-contrast, vibrant, face-consistent thumbnails with Nano Banana Pro and verifies every frame before showing it. Use whenever you want to create, redo, or iterate thumbnail variants for a video — "make a thumbnail", "new version of B", "more realistic", "less text", "put the app on the screen", "another angle for the test". Renders into videos/<project>/packaging/thumbs/. Works standalone or as the render engine for Stage 5 of /packaging (which owns titles, bets, and descriptions).
Generates click-optimized YouTube packaging — 3 thumbnail bets under one fixed title, engineered for YouTube's built-in A/B/C thumbnail test, plus a value-forward description, then renders the thumbnails as real images. Use this whenever you want to package a long-form video or turn a video idea into titles and thumbnails. Triggers include how would you package this, title ideas for, thumbnail concept, package this video, A/B variations, and make this clickable. Calibrates to your channel's own CTR data if you have it. Long-form only, never Shorts. Not for non-YouTube copywriting.
Step 2 of the AI Video Editor pipeline — build the visual beats (Remotion TSX shots) over a project's master cut and bake a composited preview. Use when the user wants to add/edit overlays or full-screen animation segments, "make a shot / beat", implement an edit plan or a v2 update, retime a beat to the narration, re-render shots, or re-bake the video-N preview in this repo. Covers reading the plan + edited-transcript + brand + reusable kit, authoring shots library-first, syncing reveals to word times, updating timeline.json (cutaway vs overlay), rendering, verifying by screenshot, and baking with tools/bake.py. Defers raw TSX authoring rules to vidtsx-2d-generator and the cut itself to clean-cut.
Step 1 of the AI Video Editor pipeline — turn raw talking-head footage into a clean master cut. Use when the user wants to "clean cut", "cut the raw footage", "remove filler / dead air / bad takes", "tighten the pacing", produce cuts.json, run the cut editor, or render a cleaned preview/master for a video-N project in this repo. Covers audio extraction, AssemblyAI transcription, authoring cuts.json (keeps/cuts/fluff categorized), the cut policy (content-aggressive, pause-natural ~0.5s), QA + review docs, the local cut-editor UI, tight/natural previews, the final 4K60 render, and producing edited-transcript.json as the handoff to /make-tsx. Not for building TSX overlays (that is /make-tsx) or the raw TSX authoring rules (that is vidtsx-2d-generator).
Turn static SCREENSHOTS into a simulated screen recording (TSX) — a fake screencast with an animated cursor that eases to targets and clicks, a browser URL bar that updates per page, hard-cut navigations, in-page filter crossfades, smooth scroll, and a ken-burns zoom onto the payoff. Use when a beat needs to show a walkthrough of a web app / dashboard / settings page and you'd rather build it from screenshots than get (or ask for) a real screen recording — "fake a screen recording", "turn these screenshots into a screencast", "simulate clicking through the dashboard", "animate this UI walkthrough", "cursor moving through the app". Built on remotion/src/lib/screencast.tsx. This is a technique WITHIN step 2 (make-tsx): defer timeline/render/bake orchestration to make-tsx and raw crash-free TSX rules to vidtsx-2d-generator. Not for a single static page clone (use WebBrowserFrame directly) and not when the point is genuine proof of real speed/output (use a real recording).
Answers built from the skills we actually parsed.