aka. Agent Skills
Discover skills for AI coding agents. Works with Claude Code, OpenAI Codex, Gemini CLI, Cursor, and more.
Use when creating or modifying GitHub Actions workflow files. Provides guidance on workflow syntax, triggers, jobs, steps, and expressions for creating valid GitHub Actions workflows that can be tested locally with act.
Use when active Record patterns including models, associations, queries, validations, and callbacks.
Use when Go interfaces including interface design, duck typing, and composition patterns. Use when designing Go APIs and abstractions.
Use when discovering, exploring, or retrieving gluestack-ui components via MCP tools. Provides access to component source code, variants, demos, and metadata.
Use when implementing navigation in React Native Web projects. Provides patterns for React Navigation, deep linking, and web-specific routing.
Use when managing development tool versions with Mise. Covers installing tools, version pinning, and replacing language-specific version managers.
Use when working with Ruby's standard library including Enumerable, File I/O, Time/Date, Regular Expressions, and core classes.
Use when mocha test structure, hooks, and async testing patterns for JavaScript testing.
Use when nestJS dependency injection with providers, modules, and decorators. Use when building modular NestJS applications.
Use when vitest testing patterns including unit tests, mocks, spies, and browser mode testing.
Use when vitest performance optimization including fast execution, watch mode, and parallelization strategies.
Use when creating troubleshooting guides and diagnostic procedures for operational issues. Covers problem diagnosis, root cause analysis, and systematic debugging.
Use when Rust error handling with Result, Option, custom errors, thiserror, and anyhow. Use when handling errors in Rust applications.
Use when understanding and creating Helm charts for packaging and deploying Kubernetes applications.
Use when building iOS apps with UIKit, implementing MVVM/MVC/Coordinator patterns, or integrating UIKit with SwiftUI.
Use PROACTIVELY when a user describes work that sounds like a feature, project, or task. Detects intent patterns and offers to start AI-DLC elaboration.
Use when validating GraphQL operations/documents against a schema, checking query depth, complexity, or fragment usage.
Use when defining completion criteria for AI-DLC tasks. Covers writing verifiable, specific, and measurable criteria that enable autonomous operation and clear exit conditions.
Use when building comprehensive monitoring and observability systems.
Use when creating atomic-level UI components like buttons, inputs, labels, and icons. The smallest building blocks of a design system.
Use when building SwiftUI views, managing state with @State/@Binding/@ObservableObject, or implementing declarative UI patterns in iOS apps.
Use when implementing data structures in C including arrays, linked lists, trees, and hash tables with manual memory management.
Use when building terminal UIs with Ink component patterns for React-based CLI applications.
Use when building GraphQL APIs with Apollo Server requiring resolvers, data sources, schema design, and federation.