Skills
98,284 packaged capabilities and playbooks for agents. Install any of them with one command.
Development
Build, debug, test, or package Python Textual terminal interfaces: screens, widgets, TCSS, reactive state, workers, keyboard workflows, and optional browser delivery. Use when Textual is selected or an existing Textual app is involved; do not turn a noninteractive CLI or simple Rich output into a TUI unnecessarily.
Edit Shopify theme JSON templates, settings data, and settings schema using the target theme's existing sections, blocks, nested block structures, and schema-defined settings. Use when updating, editing, or tweaking Shopify `templates/*.json`, JSON section data, `config/settings_data.json`, `config/settings_schema.json`, section settings, or block settings. Do not use for custom Liquid, new theme sections or blocks, snippets, assets, JavaScript, CSS, checkout extensions, or non-JSON theme-code work.
Build tilemaps using Tiny Swords asset pack. Handles 64x64 tile grid, elevation layers, water foam animation, shadow positioning, and terrain color variants. Use when creating game maps, level editors, or rendering terrain with the Tiny Swords tileset.
Meta-skill for understanding and customizing Mindfold Trellis - the all-in-one AI workflow system for 9 AI coding platforms (Claude Code, Cursor, OpenCode, iFlow, Codex, Kilo, Kiro, Gemini CLI, Antigravity). This skill documents the ORIGINAL Trellis system design. When users customize their Trellis installation, modifications should be recorded in a project-local `trellis-local` skill, NOT in this meta-skill. Use this skill when: (1) understanding Trellis architecture, (2) customizing Trellis workflows, (3) adding commands/agents/hooks, (4) troubleshooting issues, or (5) adapting Trellis to specific projects.
How to read on-chain data in @aptos-labs/ts-sdk: view(), getBalance(), getAccountInfo(), getAccountResources(), getAccountModules(), getResource(). Triggers on: 'aptos.view', 'getBalance', 'getAccountInfo', 'getAccountResources', 'SDK query', 'view function TypeScript'.
UI/UX design intelligence for web and mobile. Includes 50+ styles, 161 color palettes, 57 font pairings, 161 product types, 99 UX guidelines, and 25 chart types across 10 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, and HTML/CSS). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, and check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, and mobile app. Elements: button, modal, navbar, sidebar, card, table, form, and chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, and flat design. Topics: color systems, accessibility, animation, layout, typography, font pairing, spacing, interaction states, shadow, and gradient. Integrations: shadcn/ui MCP for component search and examples.
Manages the structured relationship between ScriptableObjects (Data) and Prefabs (Logic/Visuals) in Unity 6. Follows the 'SO-to-Mono' Bridge pattern to ensure instance independence (e.g., individual health for identical robots) while maintaining a clean, data-driven architecture. Use when: (1) Creating new unit/item types, (2) Wiring SO data to Prefab MonoBehaviours, (3) Resolving data-sharing bugs where changing one SO affects all instances.
Use the Vendure CLI (`vendure`) to scaffold, run, build, migrate and maintain a Vendure ecommerce project. Use whenever working inside a Vendure project that needs a dev server, a production build, database migrations, plugin/entity/service scaffolding, GraphQL schema generation, diagnostic checks, or codemods.
Webflow Enterprise API endpoints for workspace management, audit logs, site activity, 301 redirects, robots.txt, and well-known files. Use when working with Enterprise-only Webflow API endpoints that require an Enterprise workspace.
Drive WordPress from the command line via `wp` CLI — site migrations, search-replace, bulk plugin/theme/user/post operations, option and config edits, multisite management, and cron scheduling. Use whenever the user wants to do something to a WordPress site that a terminal can reach faster than wp-admin.
Use when preparing anything that announces a release to the people who consume it — CHANGELOG entries, GitHub release descriptions, version announcements, upgrade or migration guides, or deprecation notices. Triggers include "write the changelog", "release notes for v2.3", "summarize what changed since the last release", "what do users need to know about this upgrade", and cutting a tag.
Wire AG2's shipped tools into an `Agent` — both provider-native server-side tools (web search, web fetch, code execution, MCP, image generation, memory) and locally-executed common toolkits (filesystem, DuckDuckGo, Exa, Tavily, skills). Use when the user wants capabilities AG2 already ships rather than writing custom Python. For shell commands see `ag2-shell-tool`; for custom Python tools see `ag2-add-custom-tool`.
Build LiveKit Agent backends in Python. Use this skill when creating voice AI agents, voice assistants, or any realtime AI application using LiveKit's Python Agents SDK (livekit-agents). Covers AgentSession, Agent class, function tools, STT/LLM/TTS models, turn detection, and multi-agent workflows.
Build backend AI with Vercel AI SDK v5/v6. Covers v6 beta (Agent abstraction, tool approval, reranking), v4→v5 migration (breaking changes), latest models (GPT-5/5.1, Claude 4.x, Gemini 2.5), Workers startup fix, and 12 error solutions (AI_APICallError, AI_NoObjectGeneratedError, streamText silent errors). Use when: implementing AI SDK v5/v6, migrating v4→v5, troubleshooting errors, fixing Workers startup issues, or updating to latest models.
Builds and deploys bioinformatics pipelines on the LatchBio platform using the Latch SDK — author workflows with @workflow/@task decorators, handle LatchFile/LatchDir I/O, register serverless workflows, configure CPU/GPU task resources, organize data in the Latch Registry, and wrap Nextflow/Snakemake pipelines. Use when developing or deploying a Latch SDK workflow, sizing task resources, working with the Registry, or porting a Nextflow/Snakemake bioinformatics pipeline onto LatchBio. Not for DNAnexus (dxpy/dx CLI) or generic Flyte. Part of the AlterLab Academic Skills suite.
Scales reinforcement learning with PufferLib — high-throughput parallel training (PuffeRL), vectorized environments, and native multi-agent systems achieving 2-10x speedups over standard implementations. Use when scaling RL to millions of steps per second, running vectorized or multi-agent setups, building custom PufferEnv tasks, or integrating game environments (Atari, Procgen, NetHack, PettingZoo). For standard single-agent algorithm implementations (PPO/SAC/DQN) or quick prototyping prefer alterlab-stable-baselines3. Part of the AlterLab Academic Skills suite.
Scalable deep-learning training with PyTorch Lightning — organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, build data pipelines and callbacks, log to W&B or TensorBoard, and run distributed training (DDP, FSDP, DeepSpeed). Use when structuring PyTorch training loops, scaling neural-network training across GPUs/TPUs, or adding checkpointing, logging, and distributed strategies. Part of the AlterLab Academic Skills suite.
Builds, transpiles, and runs quantum circuits with Qiskit, IBM's quantum computing framework, including Qiskit Runtime primitives (Sampler/Estimator), circuit transpilation, and error mitigation on IBM Quantum hardware. Use when targeting IBM Quantum backends, transpiling circuits, running Runtime sessions or batches, or applying resilience/error mitigation. For Google Quantum AI hardware and NISQ circuits prefer alterlab-cirq; for gradient-trained quantum ML and hybrid quantum-classical models prefer alterlab-pennylane; for open-system Lindblad/master-equation dynamics prefer alterlab-qutip. Part of the AlterLab Academic Skills suite.
Classical machine learning in Python with scikit-learn — algorithms, preprocessing, pipelines, and best-practice reference documentation. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, feature preprocessing, or building ML pipelines. Part of the AlterLab Academic Skills suite.
Add GSAP-driven WebGL to a site without restyling it, on one shared OGL renderer and canvas per document. Image planes track each img for a hover lens, scroll-velocity wave, wipe, glitch, dissolve, pixelation, and ripple. Framed views draw in an element's box: a camera flight through a 3D spiral of images, GPU particles morphing between shapes, a liquid image, and liquid-metal drops that melt into a word or pour down a page. GSAP tweens shader uniforms. The real img, or a poster img for a view, stays the accessible content and the fallback when WebGL is missing, the context is lost, an image lacks CORS, or motion is reduced. Use for WebGL image effects, shader hover, 3D scroll flights, particle morphs, liquid hover, uniform tweens, or keeping a canvas alive across routes. Pair with the matching GSAP framework skill for lifecycle timing. Not for glTF models, physics, DOM-only effects (use animaxxing), branding, or GSAP API questions.
Manage Apidog project resources through Apidog CLI. Trigger scenarios - running API automation tests/test suites, querying/creating/updating/deleting endpoints, environments, schemas, mocks, branches and other project resources, importing/exporting API documentation, viewing test reports, managing runners, scheduled tasks, notifications and CI/CD configuration. CLI output is structured JSON and often includes agentHints.nextSteps; all commands support --help.
Swift Standard Library, Concurrency, and Observation reference. Protocols/generics, async/await, actor, SerialExecutor, Sendable, Task, TaskGroup, AsyncSequence, AsyncStream, Continuation (CheckedContinuation), Observable, @Observable, Observations, ObservationRegistrar, Span, InlineArray, RangeSet, Equatable, Hashable, Comparable, Identifiable, Optional, Codable, Result, generics, some/any.
Work with ArcGIS Knowledge graphs for storing, querying, and visualizing connected data using KnowledgeGraphLayer, LinkChartView, and openCypher queries. Use for graph databases, relationship visualization, and entity exploration.
Transforms code into clean, testable, and maintainable architecture using SOLID principles, Clean Architecture, and proven design patterns. Use this skill when you need to: design a new feature with proper separation of concerns, refactor legacy or monolithic code, review architecture for SOLID violations, establish dependency-injection boundaries, plan a testing strategy, or document architectural decisions. Language-agnostic; includes concrete Swift/iOS examples from the Essential Developer methodology.
Design, implement, review, and refine focused product interfaces for Astrale Domain Views embedded in the Astrale GUI. Use when working on information architecture, layout, React or UI components, forms, lists, menus, dialogs, loading/empty/error/mutation states, interaction polish, responsive behavior, accessibility, or interface copy in a Domain frontend.
Use when push notifications fail to arrive, token registration errors occur, notifications work in development but not production, silent push does not wake app, rich notification media is missing, or Live Activity stops updating via push. Covers APNs errors, environment mismatches, Focus mode filtering, service extension failures, FCM diagnostics.
Expert knowledge for Azure AI Face development including troubleshooting, best practices, decision making, limits & quotas, security, and integrations & coding patterns. Use when using Face detection, identification, verification, liveness, PersonGroup/Directory, or Face API quotas, and other Azure AI Face related development tasks. Not for Azure AI Vision (use azure-ai-vision), Azure AI Custom Vision (use azure-custom-vision), Azure AI Video Indexer (use azure-video-indexer), Azure AI Document Intelligence (use azure-document-intelligence).
Use when writing, reviewing, or refactoring TypeScript/Node.js backend application or API code where backend design guidance is useful, including APIs, routes, controllers, middleware, SDKs, services, repositories, database access, runtime workers, and external integrations that implement backend behavior. Do not use merely because code runs in Node.js or on a server. Skip CI/workflow configuration, deployment or maintenance scripts, demos, tests, simple renames, formatting, documentation-only work, and other mechanical or supporting work that does not require backend design guidance. Do not use for localized bug fixes when the cause and edit location are already known, even when the affected code is part of an SDK or backend component.
Comprehensive backend development guide for Node.js/Express/TypeScript microservices. Use when creating routes, controllers, services, repositories, middleware, or working with Express APIs, Prisma database access, Sentry error tracking, Zod validation, unifiedConfig, dependency injection, or async patterns. Covers layered architecture (routes → controllers → services → repositories), BaseController pattern, error handling, performance monitoring, testing strategies, and migration from legacy patterns.
Solve a hard problem by trying multiple approaches in parallel using isolated git worktrees. Each attempt runs in its own branch, and the best solution is selected. Use for complex refactors, tricky bugs, or architectural decisions where multiple strategies could work.
Configure Better Auth server and client, set up database adapters, manage sessions, add plugins, and handle environment variables. Use when users mention Better Auth, betterauth, auth.ts, or need to set up TypeScript authentication with email/password, OAuth, or plugin configuration.
Use when designing or auditing high-standard video-game accessibility in Bevy 0.19, integrating screen readers and focus navigation, supporting adaptive controllers and complete remapping, implementing captions or audio description, checking contrast and motion safety, or building disabled-player test evidence.
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.