Skills
96,770 packaged capabilities and playbooks for agents. Install any of them with one command.
Development
Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work. Use when building or reviewing a Spring Boot backend — REST layer, services, data access, caching, or async work.
Use when building any system where email content triggers actions — AI agent inboxes, automated support handlers, email-to-task pipelines, or any workflow processing untrusted inbound email. Always use this skill when the user wants to receive emails and act on them programmatically, even if they don't mention "agent" — the skill contains critical security patterns (sender allowlists, content filtering, sandboxed processing) that prevent untrusted email from controlling your system.
Operate the Resend platform from the terminal — send emails (including React Email .tsx templates via --react-email), manage domains, contacts, broadcasts, templates, webhooks, API keys, logs, automations, and events via the `resend` CLI. Use when the user wants to run Resend commands in the shell, scripts, or CI/CD pipelines, or send/preview React Email templates. Always load this skill before running `resend` commands — it contains the non-interactive flag contract and gotchas that prevent silent failures.
Loading three.js assets: glTF with Draco, meshopt and KTX2 compression, other model formats, textures, HDR and EXR environments, progress, caching, cloning and disposal. Use when loading 3D models, textures or environment maps, or managing loading progress, on WebGL or with WebGPU and TSL.
Turborepo monorepo build system guidance. Triggers on: turbo.json, task pipelines, dependsOn, caching, remote cache, the "turbo" CLI, --filter, --affected, CI optimization, environment variables, internal packages, monorepo structure/best practices, and boundaries. Use when user: configures tasks/workflows/pipelines, creates packages, sets up monorepo, shares code between apps, runs changed/affected packages, debugs cache, or has apps/packages directories.
Build, modify, or review Stripe Apps and extensions using the relevant documentation and reference guides. Use for custom Stripe Dashboard UI, stripe-app.yaml, @stripe/ui-extension-sdk, @stripe/extensibility-sdk, script extensions, extension interfaces, custom workflow actions, and apps that authenticate to Stripe or react to events. Also use when deciding whether a Stripe extension can support the user's billing or workflow requirements.
Three.js textures: image loading, color spaces, UV channels and transforms, texture types from canvas to HDR and KTX2, render targets, texture memory. Use when working with images on materials, UV coordinates, cubemaps, render targets or texture optimization; on WebGL or with WebGPU and TSL.
Expert skill for building web-based game engines and games using HTML5, Canvas, WebGL, and JavaScript. Use when asked to create games, build game engines, implement game physics, handle collision detection, set up game loops, manage sprites, add game controls, or work with 2D/3D rendering. Covers techniques for platformers, breakout-style games, maze games, tilemaps, audio, multiplayer via WebRTC, and publishing games.
Turns implementation work into working code, reviewed and verified. Use when the user delegates a feature, story, bug fix, or meaningful change; a bare story or issue link counts. Skip obvious, low-risk mechanical maintenance such as small ignore-file, typo-only, formatting-only, or configuration-hygiene edits. Explicit BMAD requests always qualify. Do not volunteer for user-directed interactive edits or version-control operations that only record existing work
CLI tools for Svelte 5 documentation lookup and code analysis. MUST be used whenever creating, editing or analyzing any Svelte component (`.svelte`) or Svelte module (`.svelte.ts`/`.svelte.js`). If possible, this skill should be executed within the `svelte-file-editor` subagent for optimal results.
Create a concrete plan before starting a multi-file refactor. Use when the user asks to plan, sequence, scope, or safely execute a refactor across multiple files; always investigate first, output the plan, and wait for confirmation before making code changes.
Test-driven development workflow: write a failing test first, watch it fail, implement the smallest change to green, then refactor with 80%+ coverage across unit, integration, and E2E tests. Use when writing a new feature, fixing a bug, refactoring, or when told to write failing tests first.
Liquid is an open-source templating language created by Shopify. It is the backbone of Shopify themes and is used to load dynamic content on storefronts. Keywords: liquid, theme, shopify-theme, liquid-component, liquid-block, liquid-section, liquid-snippet, liquid-schemas, shopify-theme-schemas
Generate self-contained HTML visualizations with Plannotator theming. Use for implementation plans, PR explainers, architecture diagrams, data tables, slide decks, and any visual explanation of technical concepts. Plans and PR explainers follow Plannotator's prescriptive approach; all other visual content delegates to nicobailon/visual-explainer.
Upgrades React Native apps to newer versions by applying rn-diff-purge template diffs, updating package.json dependencies, migrating native iOS and Android configuration, resolving CocoaPods and Gradle changes, and handling breaking API updates. Use when upgrading React Native, bumping RN version, updating from RN 0.x to 0.y, or migrating Expo SDK alongside a React Native upgrade.
Drive a live marimo notebook as a workspace: run Python in the same kernel the user does, inspect live notebook state, and commit durable notebook changes. Use when the user wants to start a marimo notebook or pair on an active marimo session.
Use when building HTML email templates with React components, adding a visual email editor to an application using the React Email visual editor, rendering emails to HTML, or sending emails with Resend. Covers welcome emails, password resets, notifications, order confirmations, newsletters, transactional emails, and the embeddable email editor component
Use this skill when you develop, design, build, deploy, debug, migrate, or troubleshoot CloudBase (腾讯云开发, 云开发, TCB, 微信云开发) projects — Web, 微信小程序, 小程序, uni-app, mobile (iOS, Android, Flutter, React Native). Covers UI (页面, 界面, 表单, dashboard, prototype, 原型); auth (登录, 注册, OAuth, publishable key); databases (NoSQL 文档数据库, PostgreSQL/CloudBase PG, 已有 MySQL, app.rdb(), queryPgDatabase/managePgDatabase, CRUD, security rules); 云函数/cloud functions (serverless, scf_bootstrap); CloudRun (云托管, Dockerfile); 云存储; built-in AI (内置大模型, AI 对话, streaming, 流式输出, 图片生成, generateText, streamText, createModel, generateImage, TokenHub, Hunyuan, DeepSeek, GLM, Kimi, Token Credits 资源包, 小程序成长计划); third-party/custom model onboarding (第三方大模型接入, 大模型调用, LLM API); AI agent (智能体, AG-UI, LangGraph); ops troubleshooting (巡检, 诊断, 日志); spec workflow (需求文档, 技术方案, requirements, tasks.md). Do NOT use for non-CloudBase projects, pure frontend without CloudBase, or self-hosted backends without CloudBase
Scaffold, configure, and troubleshoot Solana Mobile apps for Android using the solana-mobile CLI, Expo, and React Native. Use when creating a new Solana mobile app, picking a template, adding Solana to an existing Expo app, checking the Android toolchain, managing Android emulators or connected devices, installing a wallet APK for testing, running a local validator the device can reach, or producing a development build.
Connect Solana wallets and sign or send transactions in React Native Expo apps using Mobile Wallet Adapter and Wallet UI. Use when adding a connect wallet button, showing a connected address, disconnecting, signing messages, sign-in with Solana, transferring SOL, or sending any transaction from a Solana mobile app.
Java coding standards for Spring Boot and Quarkus services: naming, immutability, Optional usage, streams, exceptions, generics, CDI, reactive patterns, and project layout. Automatically applies framework-specific conventions. Use when writing or reviewing Java in a Spring Boot or Quarkus service.
Work out and record the architecture decisions that keep separately built parts of a system consistent, in a short architecture document. Creates, updates, or validates one; works from a ticket file, with an existing codebase or architecture document beside it. Use when the user says "create the architecture", "create technical architecture", "architecture spine", or "create a solution design"
Verify Seeker device ownership by checking for the Seeker Genesis Token (SGT) with Sign-in-with-Solana and server-side token verification. Use when gating content or rewards to Seeker owners, verifying a user holds an SGT, adding anti-Sybil checks to a Solana mobile app, or implementing one-claim-per-device logic.
Resolve and display .skr domain names in Solana mobile apps, in both directions between names and wallet addresses. Use when showing .skr names instead of wallet addresses in profiles, friend lists, or transaction history, resolving a .skr domain to an address, reverse-looking-up an address to a domain, or validating .skr input.
Add Privy authentication to a Solana Expo Android app on top of Mobile Wallet Adapter, using Sign-In-With-Solana. Use when installing @privy-io/expo, mounting PrivyProvider, logging a user in with useLoginWithSiws, linking a wallet to an existing Privy account, reading the Privy access token from a backend, or debugging a Privy plus MWA setup.
MANDATORY recipe for every Caffeine build that calls an LLM, chatbot, GPT, or ChatGPT on Caffeine Inference (no user-pasted OpenAI key). The ONLY supported path is the `caffeineai-inference-client` mops package with `Config.fromEnv<system>()`, which hands the canister a ready-to-use authenticated config — the app never asks for, stores, or returns a key. Hand-rolling `ic.http_request` to `inference.caffeine.ai` (or `api.openai.com`) is a FORBIDDEN anti-pattern. Load this skill whenever the user, spec, or any prior task wants an LLM in a Caffeine app — and BEFORE writing any code that talks to an LLM host. Use `extension-openai` only when the spec explicitly requires a user- or admin-pasted `sk-...` key against `api.openai.com`
Use this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, video generation, streaming responses, background research tasks, function calling, structured output, or migrating from the old generateContent API. This skill covers the Interactions API, the recommended way to use Gemini models and agents in Python and TypeScript.
Guide agents to use `package:ffigen` to automatically generate FFI bindings instead of writing them manually. Use this skill when a task involves writing new FFI bindings, extending C/Objective-C/Swift integrations, or replacing hand-crafted `dart:ffi` setups.
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.
