Skills
98,639 packaged capabilities and playbooks for agents. Install any of them with one command.
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Set up @turbodocx/html-to-docx to convert HTML to Microsoft Word (.docx) documents in a Node.js project. Use this skill when the user wants to generate DOCX files from HTML, add document generation to their app, convert HTML templates to Word documents, or integrate TurboDocx html-to-docx into their project. Also trigger for mentions of HTML-to-Word, HTML-to-DOCX, document generation, report generation from HTML, or any request involving the @turbodocx/html-to-docx package.
Get Chinese financial market data (A-shares, Hong Kong stocks, US stocks, funds, futures, bonds). Supports 220+ Tushare Pro interfaces: stock quotes, financial statements, macroeconomic indicators. Use when the user requests stock price data, financial analysis, index quotes, or macroeconomic data such as GDP/CPI.
Navigate Taiwan's tax system including corporate income tax (營所稅), business tax (營業稅), personal income tax, withholding obligations, and startup tax incentives. Use this skill when the user needs to understand Taiwan tax obligations, calculate tax liability, file taxes, or plan for tax efficiency — even if they say 'how much tax do we owe', 'what's the corporate tax rate in Taiwan', 'tax filing deadlines', or 'are there startup tax breaks'.
Create and review one-to-five Twitter/X post tasks through ThreadWave, or publish one exact final user-supplied post through a strict dry-run and approval flow. Use for create tweets, write several posts, batch tweet tasks, post about a topic, manual tweet work, post this exact text, send a tweet, or publish on Twitter/X. Do not use for replies or the daily strategy/plan loop.
Create, review, and monitor five-to-ten Twitter/X reply tasks with target discovery through ThreadWave, retry one conclusively undispatched reviewed reply through a fresh exact-action flow, or send one exact final reply to one exact target through a strict dry-run and approval flow. Use for create replies, retry failed replies, reply to several posts, batch reply tasks, engage with posts about a topic, manual Twitter replies, or reply to this exact tweet with this exact text. Do not use for original posts or the daily strategy/plan loop.
Use this skill when writing or reviewing TypeScript code in the frontend to follow project conventions. Covers naming standards (kebab-case files), import patterns, error handling, type safety (no any), and ESLint/Prettier configuration. Apply when authoring new TypeScript files, reviewing code style, or resolving linting issues.
Audits and implements TYPO3 accessibility patterns for WCAG 2.2 AA, including Fluid templates, PHP helpers, JavaScript widgets, forms, focus states, ARIA, and go-live checks. Use when building or reviewing TYPO3 templates, content elements, extensions, or frontend code for accessibility, keyboard support, screen readers, WCAG, ARIA, or a11y readiness.
Extract a DDD-style ubiquitous language glossary from the current conversation, flagging ambiguities and proposing canonical terms. Saves to CONTEXT.md. Use when user wants to define domain terms, build a glossary, harden terminology, create a ubiquitous language, or mentions "domain model" or "DDD".
A comprehensive suite of protocols, meta-prompts, and orchestration tools designed to streamline software development workflows, project management, and team collaboration. Includes the VibeCode Protocol Suite with web interface, user manuals, and reusable templates for efficient development processes
uni-app cross-platform frontend development with Vue 3 + TypeScript. Use for: (1) Creating new uni-app projects or pages, (2) Integrating UI libraries (uView Plus, uni-ui, TuniaoUI), (3) Implementing multi-theme design systems, (4) Building WeChat Mini Programs, H5, and other platforms, (5) Setting up SCSS theming and global styles, (6) Configuring Vite build system. Includes reusable templates, component patterns, and best practices applicable to any uni-app project.
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control
Writing, refactoring, reviewing, or running unit tests — fast, isolated checks that exercise one small exported contract from the caller's point of view. Triggers on mocks and fakes, fixtures, schema and codec tests, snapshot choices, coverage questions, assertion design, spec naming, or whether a behavior belongs in a unit test at all. For runner configuration and mocking APIs, use that runner's own capability — Jest, Vitest; for browser or device journeys, an end-to-end-testing one; for verification-evidence adequacy, a quality-assurance one. Covers refactor-surviving design, boundary fakes, and async assertions.
Multiplayer development with Netcode for GameObjects. Network setup, NetworkBehaviour, state synchronization, RPCs, lobby and relay. Triggers: /netcode, /multiplayer, 'NetworkBehaviour', 'NetworkVariable', 'ServerRpc', 'ClientRpc', 'lobby', 'multijoueur', 'Netcode for GameObjects', 'mode host', 'dedicated server'.
Systematic research methodology for building comprehensive, current knowledge on any topic. Requires web_search tool. Use when questions require thorough investigation, recent developments post-cutoff, synthesis across multiple sources, or when Claude's knowledge may be outdated or incomplete. Triggered by "Research", "Investigate", "What's current on", "Latest info on", complex queries needing validation, or technical topics with recent changes.
Researches Upwork job postings and freelancer profiles via the Crawlora API — search Upwork's public job listings by keyword, pull full detail on a specific job posting, or look up a freelancer's profile (rate, Job Success Score, ratings, feedback) — returning clean JSON. Use when the user wants to search Upwork jobs, read a specific Upwork job posting, or research an Upwork freelancer.
Use to determine the division of responsibilities between workflows and Agents + Skills, or how other apps/services connect to a workflow through Portal. Not for developing or releasing workflows themselves, or for cases that only connect to the Task Gateway executor. Provides guidance on selection, orchestration, and invocation.
Use when defining or authoring extensions for a Backstage frontend plugin in the new frontend system. Covers createFrontendPlugin, route refs from @backstage/frontend-plugin-api, ApiBlueprint, PageBlueprint, SubPageBlueprint, and hook usage. Triggers on imports from @backstage/frontend-plugin-api or when writing src/plugin.tsx, src/routes.ts, src/apis.ts, src/extensions.tsx.
Enforces CLI tool usage over web dashboards for reproducibility and scriptability. Use when working with Git/GitHub, Supabase, Vercel, Netlify, Cloudflare, AWS, Stripe, Prisma, Docker, or any cloud service. Triggers on deployments, database operations, migrations, PRs, issues, webhooks, or environment management.
Evaluate UI designs and implementations against established UX principles. Use this skill when the user wants a UX heuristic evaluation, usability review, UX critique, or analysis of a design against best practices. Triggers include: 'evaluate the UX', 'heuristic evaluation', 'UX review', 'usability critique', 'does this follow UX best practices', 'what UX issues do you see', 'critique this design', 'review this flow', or when the user provides a screenshot or HTML file and asks for UX feedback. Also trigger when users reference specific heuristics like 'visibility of system status', 'Fitts's Law', 'Hick's Law', 'cognitive load', or any of Nielsen's heuristics or Laws of UX by name.
Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that don't fit in memory.
Given a current win probability and a downside asymmetry flag, recommends a variance-seeking, neutral, or variance-minimizing posture and emits a numeric multiplier (typically 0.8-1.3) for downstream consumers to apply to boom-bust scores, position sizes, or bet sizes. Favorites minimize variance; underdogs maximize it. Reusable across fantasy sports lineup construction, portfolio allocation, poker bankroll decisions, racing strategy, and any decision where the agent controls a variance knob. Use when user mentions variance strategy, underdog variance, variance seeking, variance minimizing, risk posture, boom bust, must-win variance, favorite strategy, or when a decision module needs a single scalar to bias toward or away from high-variance options.
VeBetterDAO Navigators feature: rewards multipliers (freshness + governance intent) and navigator delegation system. Use when working on navigator contracts, delegation, staking, freshness multiplier, governance intent multiplier, navigator fees, slashing, or any navigator-related frontend/backend code. Triggers on: navigator, navigators, delegation, freshness multiplier, governance intent, navigator staking, navigator fee, slashing, NavigatorRegistry.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Use the `vhscli` CLI to analyze images/video/pdfs with a prompt, or generate images/videos/audio. Use when the user asks about local media, wants AI images/videos/audio, or mentions vhscli, vhs, seedream, seedance, seed-audio, nano-banana, or gpt-image.
Create a no-narration knowledge short in the style of Douyin’s “Vibe知识大赏”: 2–5 minutes, 16:9, no voice, with viewers reading a single line of subtitles at the bottom while the screen illustrates them. The key is explanatory design: find a familiar image for each concept and depict it as the concept itself (not as dots, lines, or circles); show exactly what the subtitles say, and make verbs happen. Don’t force visuals for questions, names, or conclusions. Draw every frame in code (Canvas + seek(t) + Playwright + ffmpeg). Includes line-by-line breakdowns of four reference videos, six visual approaches, methods for finding imagery, a storyboard format, two visual styles, a rendering engine, and composed music. Use when the user asks for a “vibe knowledge showcase” video, a film like “《信息论·惊奇之学》”, “《运气的形状》”, “《超常刺激》”, or “《自指》”, a knowledge short generated directly from code, a subtitled educational video with no narration, or an intuitive explanation of a concept—or provides a topic or script to turn into this kind of video. Only makes 16:9 landscape videos. Don’t use for narrated explainers.
Security intelligence for code analysis. Detects SQL injection, XSS, CSRF, authentication issues, crypto failures, and more. Actions: scan, analyze, fix, audit, check, review, secure, validate, sanitize, protect. Languages: JavaScript, TypeScript, Python, PHP, Java, Go, Ruby. Frameworks: Express, Django, Flask, Laravel, Spring, Rails. Vulnerabilities: SQL injection, XSS, CSRF, authentication bypass, authorization issues, command injection, path traversal, insecure deserialization, weak crypto, sensitive data exposure. Topics: input validation, output encoding, parameterized queries, password hashing, session management, CORS, CSP, security headers, rate limiting, dependency scanning.
Generates motion graphics videos (MP4) from a content brief. Multi-scene HTML/CSS animations rendered frame-by-frame in headless Chromium via Playwright, assembled with FFmpeg. 1080×1080 default, 16:9 (1920×1080) and 9:16 (1080×1920) supported. 5 style presets. Trigger when user says "create a video", "motion graphic", "animated video", "make a reel", "create an explainer", "animated infographic", or "short video".
Generates a high-energy sizzle reel or hype video (MP4) from brand assets and key messages. Fast-paced montage format with dynamic cuts, bold text overlays, and optional music. 4-section structure: Cold Open, Build, Peak, Land. 4 tone presets. Beat-sync cuts when music is provided. Built on HyperFrames (GSAP + headless Chromium + FFmpeg). Trigger when user says "sizzle reel", "hype video", "highlight reel", "launch hype", "conference opener", "event promo video", "investor pitch video", or "brand video montage".
Complete video ad creation toolkit — from creative brief to published ad. Includes hook formulas, script frameworks, multi-format strategy, A/B testing methodology, and batch workflow patterns. Integrates with Creatify API for automated URL-to-video, ad cloning, AI script generation, custom templates, product-to-video, and IAB banner creation. Use when: "create video ad", "product to ad", "batch ads", "ad from URL", "URL to video", "clone this ad", "video ad script", "ad creative brief", "IAB banners", "custom template", "product video", "ad clone", "multi-format ads", "A/B test ads", "hook formula", "CTA pattern", "video ad framework", "batch video generation", "product URL to video", "ad campaign", "video marketing", or any video advertising creation task.
Skip the learning curve of professional editing software. Describe what you want — trim the video, add subtitles, and export for free — and get edited MP4 videos back in 1-2 minutes. Upload MP4, MOV, AVI, WebM files up to 500MB, and the AI handles AI video editing automatically. Ideal for content creators and students who want to edit videos quickly without paying for software.
Trim video clips into trimmed video clips with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. Content creators use it for cutting unwanted sections from long video recordings — processing takes 20-40 seconds on cloud GPUs and you get 1080p MP4 files.
Analyze a short-form video (TikTok, Instagram Reel, or any MP4) to extract its full transcript, understand why it performed, and generate concrete repurposing ideas. Use this skill whenever the user asks to: analyze a video, understand why something went viral, reverse-engineer a creator's content, extract a transcript from a video, figure out what makes a video perform, or get repurposing ideas from a video. Also trigger when the user says things like "why did this perform", "what's the hook here", "can I repurpose this", "analyze this TikTok", or drops a video file path or URL.
Convert an MP4 (e.g. a HyperFrames render or a screen recording) to a high-quality GIF using FFmpeg's two-pass palette method. Picks the right preset for the target surface — Slack/DMs/Twitter/email/Reddit/GitHub — so you don't ship a 40MB GIF to a 5MB inbox.
Finds what over-performs in the creator's niche and writes it to video-agent/swipe.md. Use when the user asks what goes viral, viral hooks, what works in my niche, competitor research, swipe file, outliers, my best videos, my stats, or "find hooks that work". Scores recent Shorts from 10 to 12 accounts against each account's median (YouTube free with yt-dlp; TikTok, Instagram and their own stats through Treg), pulls the first 3 seconds of each outlier and tags the hook formula so video-script reuses the shape, never the words.
Write and maintain Vitest 5 unit tests for TypeScript utilities, services, stores, and API clients. Use for unit coverage, related mocks and fixtures, and Vitest review, debugging, or performance work. Adapt guidance to the project's version. Browser flows and Playwright tests use the project's browser or E2E test setup.
Run an autonomous Humanize-governed vLLM SOTA performance loop for one LLM model: first perform the fixed fair vLLM/SGLang/TensorRT-LLM deployment search and benchmark, then start one RLCR loop that repeatedly decides the gap, profiles the current bottleneck, runs layer/kernel pipeline analysis, patches vLLM code, optionally uses ncu-report-skill for kernel evidence, and revalidates until vLLM matches or beats the best observed framework under the same workload and SLA.
Use when the user is building on Web 3 Data Spaces (W3DS) or the MetaState prototype — building a post-platform, integrating an eVault, calling the eVault GraphQL API (createMetaEnvelope, updateMetaEnvelope, removeMetaEnvelope, bulkCreateMetaEnvelopes, uploadFile, bindingDocument*), wiring the Web3 Adapter, writing a webhook controller for /api/webhook, authoring mapping.json files, using the wallet-sdk, implementing the w3ds://auth or w3ds://sign flow, resolving W3IDs / eNames via the Registry, working with the Ontology service, proposing a new ontology, dealing with Binding Documents, dereferencing w3ds://file URIs, provisioning an eVault, syncing public keys, hosting a platform on GitW3 (the W3DS-aware Git forge — `.w3ds/platform.json`, platform eName, version eName, PPA certification, deployment records, porting an existing app, `w3ds-deployment-key.json`), or debugging local dev (Registry, Provisioner, eVault-core, Dev Sandbox, pnpm dev:core). Also use for any design decision about where data lives on a W3DS platform — adding a table, entity, model or field, deciding what to cache locally, or asking whether something belongs in the database or the eVault. Also use for company signing delegation — a company eVault with directors, titled roles, delegations and re-delegations, signing on behalf of a company, verifyDelegatedSignature / buildDelegatedSignRequest / buildGrantSignRequest. Also use when the user asks what an eVault, W3ID, eName, MetaEnvelope, Envelope, Ontology, Web3 Adapter, Awareness Protocol, or Awareness-as-a-Service is.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.