Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Development
Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.
Skyline Worklet animation system skill. Use this skill to develop high-performance interactive animations with worklet functions, shared variables (SharedValue), animation types (timing/spring/decay), Easing functions, composed animations, and thread communication (runOnUI/runOnJS). Suitable for animation scenarios such as dragging, gesture tracking, and spring rebound that require direct response on the UI thread. Trigger keywords: worklet, worklet animation, SharedValue, shared variable, timing, spring, decay, Easing, runOnUI, runOnJS, applyAnimatedStyle, interactive animation, gesture animation, UI thread animation.
Audits instrumentation health of existing Arize traces. Runs deterministic checks over a bounded span sample (orphaned/uncategorized/duplicate spans, flat structure, blank root I/O, unset status, missing token counts or children) and returns a ranked report. Use when the user asks why traces look empty/flat/broken, wants to verify instrumentation is healthy, find instrumentation issues, or why evals or token/cost dashboards show n/a or zero. To debug app behavior or errors, use arize-trace.
Use this skill when designing, generating an MVP blueprint for, auditing, troubleshooting, refactoring, or explaining an agentic harness for any domain. Covers provider-neutral agent architecture for OpenAI, Anthropic, and OpenAI-compatible APIs: agent loops, tool design, record provenance, interactive presentation, user-memory lifecycles, environment-adaptive tools, speculative tool execution, late-bound capabilities, permissions, system prompts, planning, goals, always-on agents and durable runtime, adaptive agent teams, context compaction, memory, skills, MCP/external connectors, public-board communications, realtime voice agents, hardware agents and board deployment, self-refining recursive harnesses, programmable context, continual refinement, observability, evals, prompt caching, agent-legible environments, feedback loops, and safety.
Creative coding skills for Claude Code, claude.ai and Cowork. Motion, micro-interactions and design systems across Web (GSAP, Motion, Three.js, CSS), Android (Jetpack Compose) and Apple (SwiftUI). Proposes an interaction thesis you approve before it writes any code. Anti-AI-slop.
Write idiomatic Effect v4 TypeScript following official best practices from effect-solutions and the Effect source. Use when writing, reviewing, or refactoring Effect code: services (ServiceMap.Service), layers and dependency injection, error handling (Schema.TaggedErrorClass), data modeling (Schema.Class, branded types, variants), testing (@effect/vitest), HTTP clients (effect/unstable/http), CLI tools (effect/unstable/cli), config, observability, and project setup. Triggers on: 'Effect', 'effect-ts', '@effect/', 'Schema', 'ServiceMap', 'Layer', 'Effect.gen', 'Effect.fn', 'TaggedError', 'branded types', or any Effect-TS related code.
Apply when implementing asynchronous payment methods (Boleto, Pix, bank redirects) or working with callback URLs in payment connector code. Covers undefined status response, callbackUrl notification, X-VTEX-signature validation, sync vs async handling, correct delayToCancel configuration for each async method, and redirect-based flows where inboundRequestsUrl does not support browser GET redirects (requires custom public routes).
Guides the agent through setting up in-app purchases in Capacitor apps. Covers App Store Connect and Google Play Console product configuration, plugin selection (Capawesome Purchases vs. RevenueCat), plugin installation and platform setup, purchase flows for subscriptions and consumables, receipt validation, restore purchases, handling unfinished transactions, and testing with sandbox and StoreKit environments. Do not use for non-Capacitor mobile frameworks, Stripe payment processing, or physical goods checkout.
Guides the agent through adding Swift Package Manager (SPM) support to an existing Capacitor plugin. Covers creating a Package.swift manifest, replacing Objective-C bridge files with the CAPBridgedPlugin Swift protocol, updating .gitignore for SPM artifacts, cleaning up the Xcode project file, and updating package.json. Do not use for Capacitor app projects, creating new plugins from scratch, or non-Capacitor plugin frameworks.
Use the Libraries.dev UI effect libraries correctly and find where they fit in a project. Covers Border beam (border-beam), Thinking orbs (thinking-orbs), Gooey (liquid-gooey), Voice (voice-glow), Bot avatars (bot-avatars), Liquid metal (metal-fx) and Image (img-fx). Use when adding an AI thinking or loading state, a glowing or animated border around an input or card, a voice or microphone visualizer, an animated bot or agent avatar, a liquid metal button or badge, an image generation placeholder or reveal, a gooey blob or liquid menu, or when the user mentions libraries.dev or any of these packages. Also "review my project for libraries.dev", "where could I use these effects", and the commands libraries reveal, libraries review, libraries apply.
Enforce the no-useEffect rule when writing or reviewing React code. ACTIVATE when writing React components, refactoring existing useEffect calls, reviewing PRs with useEffect, or when an agent adds useEffect "just in case." Provides the five replacement patterns and the useMountEffect escape hatch
The spec-coding methodology for AI-assisted development. Use when planning features, creating/refining/implementing/verifying specs, or organising a project. Works with whatever spec backend your team already uses — local markdown, GitHub Issues, Azure DevOps, Jira — by delegating platform-specific details to a LeanSpec adapter.
Writes and restructures technical documentation - READMEs, tutorials, how-to guides, user guides, architecture docs, onboarding guides, runbooks and SOPs, troubleshooting guides, release notes, and knowledge base articles - grounded in the actual code or product, with commands and examples verified where possible. Use when the user asks to document a project, feature, system, or process, write or fix a README, explain a codebase to new developers, turn notes into a guide, or make existing docs clearer. For endpoint-by-endpoint API reference or OpenAPI specs, use api-documentation-writer; for CLAUDE.md or AGENTS.md files, use claude-md-writer.
Build automated AI workflows combining multiple models and services. Patterns: batch processing, scheduled tasks, event-driven pipelines, agent loops. Tools: inference.sh CLI, bash scripting, Python SDK, webhook integration. Use for: content automation, data processing, monitoring, scheduled generation. Triggers: ai automation, workflow automation, batch processing, ai pipeline, automated content, scheduled ai, ai cron, ai batch job, automated generation, ai workflow, content at scale, automation script, ai orchestration
Chat UI building blocks for React/Next.js from ui.inference.sh. Components: container, messages, input, typing indicators, avatars. Capabilities: chat interfaces, message lists, input handling, streaming. Use for: building custom chat UIs, messaging interfaces, AI assistants. Triggers: chat ui, chat component, message list, chat input, shadcn chat, react chat, chat interface, messaging ui, conversation ui, chat building blocks
Model selection and recommendations for Alibaba Cloud Bailian. Activate when the user needs to select, recommend, or compare models, or describes an AI scenario or feature requirement that implies they need help deciding which model to use. The core intent is to help the user make a decision, not simply look up information. Trigger phrases: recommend a model, which one to choose, which is suitable, compare, build an XX, implement XX functionality, which model should I use, or a solution for an XX scenario. When the user asks about both model information and model selection, prioritize this skill; it reads model data internally to make recommendations.
Apply when designing or modifying a VTEX IO storefront theme app — the app that owns `store/blocks.json`, `store/routes.json`, `store/templates/`, `store/contentSchemas.json`, and the storefront page tree assembled from `store.home`, `store.product`, `store.search`, `store.custom`, and other native page templates. Covers how a theme app extends a base theme, declares routes, composes blocks across pages, and how its `store/` files relate to merchant Site Editor content. Use for theme scaffolding, custom page routes, theme-level overrides, or reviewing whether a change belongs in the theme app, in a component app, or in app settings
Builds and designs React Native Nitro Modules with Nitrogen, HybridObject TypeScript specs, Nitro View components, generated native implementations, zero-copy and native-state APIs, Swift/Kotlin/C++ bindings, example apps, and testing. Use when creating a Nitro Module, adding or reviewing HybridObjects, building a Nitro View (HybridView) component, designing Nitro-specific public APIs, implementing native functionality, or setting up the nitrogen codegen pipeline. Pair with api-design for general library API shape.
Catalyst Zia Services — OCR, Face Analytics, Text Analytics, Object Detection, Barcode Reader, and Content Moderation via pre-trained AI APIs. Trigger on 'Zia', 'OCR', 'face detection', 'text analytics', 'object detection', 'barcode', 'content moderation', or 'image recognition'. DC restrictions: Identity Scanner Document Processing is IN DC only (API included); Facial Comparison works via API from any DC (console testing is IN DC only). For QuickML (AutoML, ML pipelines, LLM Serving, RAG) load catalyst-quickml instead.
Create, build, and deploy Webflow Cloud apps from the CLI (site-attached or project apps), and manage existing ones — apps, domains, environments, deployments, build/runtime logs, and environment variables including secrets. Use when initializing or deploying a Cloud app, importing an existing GitHub repository, setting up CI/CD (GitHub Actions or GitHub-linked deploys), setting or importing secrets, retrying or rolling back a deployment, diagnosing a failed build, or resolving app/environment/workspace IDs from webflow.json or env vars
Build Next.js 16 apps with App Router, Server Components/Actions, Cache Components ("use cache"), and async route params. Includes proxy.ts and React 19.2. Prevents 25 documented errors. Use when: building Next.js 16 projects, or troubleshooting async params (Promise types), "use cache" directives, parallel route 404s, Turbopack issues, i18n caching, navigation throttling.
Design and implement web animations that feel natural and purposeful. Use this skill proactively whenever the user asks questions about animations, motion, easing, timing, duration, springs, transitions, or animation performance. This includes questions about how to animate specific UI elements, which easing to use, animation best practices, or accessibility considerations for motion. Triggers on: easing, ease-out, ease-in, ease-in-out, cubic-bezier, bounce, spring physics, keyframes, transform, opacity, fade, slide, scale, hover effects, microinteractions, Framer Motion, React Spring, GSAP, CSS transitions, entrance/exit animations, page transitions, stagger, will-change, GPU acceleration, prefers-reduced-motion, modal/dropdown/tooltip/popover/drawer animations, gesture animations, drag interactions, button press feel, feels janky, make it smooth.
Chinese commit and changelog configuration reference—Chinese adaptations of Conventional Commits, Chinese templates for commitlint/husky/commitizen, and Chinese conventional-changelog configuration. Invoke only when the user explicitly uses /chinese-commit-conventions; do not trigger automatically based on context.
Creates RuleTiles from existing terrain or edge sprites so tiles auto-tile while painting, and converts sprite-segment-3x3grid output patterns into TilingRules. Use when the user wants sprites to connect correctly or to define tile neighbor rules, and provides sprites as input.
Provides instructions for building with Arc, Circle’s blockchain where USDC is the native gas token. Arc offers USDC as gas (no other native token needed), stable and predictable transaction fees, and sub-second finality for fast confirmation. These properties make Arc suitable for developers and agents building payment apps, DeFi protocols, or any USDC-first application where cost predictability and speed matter. Use when Arc, Arc Mainnet, or Arc Testnet is mentioned; when working with Arc-related smart contracts, configuring Arc in blockchain projects, bridging USDC to Arc via CCTP, or building USDC-first applications. Triggers: Arc, Arc Mainnet, Arc Testnet, USDC gas, deploy to Arc, Arc chain, stable fees, fast finality
Wire Alchemy into application code without an API key, using the x402 or MPP gateway with wallet-based auth (SIWE/SIWS) and per-request payments (USDC via x402, or USDC/credit-card via MPP). Specialized app-integration path. Use when the user is building application code and no API key is available, they're an autonomous agent that needs to pay for itself, or they explicitly want x402/MPP. For normal app code with an API key, use `alchemy-api`. For live agent work in this session (querying, admin, automation), use `alchemy-cli` (preferred) or `alchemy-mcp`.
Create and deploy reusable React components for Webflow Designer. Configure existing React projects with webflow.json, build and bundle code, validate output, and deploy to workspace using library share. Use when building custom components for designers
Generate code using nx generators. INVOKE IMMEDIATELY when user mentions scaffolding, setup, structure, creating apps/libs, or setting up project structure. Trigger words - scaffold, setup, create a new app, create a new lib, project structure, generate, add a new project. ALWAYS use this BEFORE calling nx_docs or exploring - this skill handles discovery internally.
Implement, configure, and secure Sign In With Google (SiwG) using Google Identity Services (GIS / `https://accounts.google.com/gsi/client`) across web architectures. Use when creating Google sign-in buttons, implementing Google One Tap with FedCM, integrating GIS in React/Next.js/Angular/HTML, verifying ID tokens on backend runtimes (Python/Node.js/Go/Java), enforcing Google Workspace domain restrictions (`hd`), securing client-side ID tokens via WebCrypto nonces or encrypted IndexedDB, embedding in cross-origin iframes via the Intermediate Iframe API (`https://accounts.google.com/gsi/intermediate`), configuring Content Security Policy (CSP), COOP, and Permissions Policy (`identity-credentials-get`) headers, or handling sign-out and revocation. Don't use for legacy Google Sign-In (`gapi.auth2`), Google Cloud IAM service accounts, or Android/iOS native Credential Manager.
Use when organizing functions within a Go file, formatting function signatures, designing return values, or following Printf-style naming conventions. Also use when a user is adding or refactoring any Go function, even if they don't mention function design or signature formatting. Does not cover functional options constructors (see go-functional-options).
Access Claude, Gemini, Kimi, GLM and 100+ LLMs via inference.sh CLI using OpenRouter. Models: Claude Opus 4.5, Claude Sonnet 4.5, Claude Haiku 4.5, Gemini 3 Pro, Kimi K2, GLM-4.6, Intellect 3. One API for all models with automatic fallback and cost optimization. Use for: AI assistants, code generation, reasoning, agents, chat, content generation. Triggers: claude api, openrouter, llm api, claude sonnet, claude opus, gemini api, kimi, language model, gpt alternative, anthropic api, ai model api, llm access, chat api, claude alternative, openai alternative
Proactive security advisor and architectural remediation assistant for secure code development. Use to query threat models, historical vulnerability lineages, verified patch patterns, triaged false positives, and learned trajectory invariants before code edits or to generate architectural remediation plans for confirmed findings. Don't use for automated multi-pass red-team exploitation or fuzzing.
Use when deciding whether to use Go generics, writing generic functions or types, choosing constraints, or choosing between type aliases and type definitions. Also use when a user is writing a utility function that could work with multiple types, even if they don't explicitly mention generics. Does not cover interface design without generics (see go-interfaces)
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.