Discover Databases skills, compare source repositories and read the instructions for each workflow.
Infrastructure as Code best practices for Terraform, Docker, Ansible, and CloudFormation. Covers secure-by-default configurations, multi-stage builds, state management, and modular patterns. Use when working wi...
GitHub Actions best practices for CI/CD workflows. Covers security (permissions, secrets), performance (caching, matrix builds), reusable workflows, and common patterns for testing, building, and deploying. Use...
Bash scripting best practices for production-grade scripts, CLI tools, and Makefiles. Covers strict mode, error handling, portability, performance patterns, and argument parsing. Use when working with .sh files...
Guide for creating effective Claude Code agents. This skill should be used when users want to create a new agent (or update an existing agent) that configures Claude with specialized system prompts, tool restri...
This skill should be used when working with xterm.js terminal implementations, React-based terminal applications, WebSocket terminal communication, or refactoring terminal-related code. It provides battle-teste...
Comprehensive guide for Docker MCP Toolkit Dynamic Tools - discover and use ~170 MCP servers on-demand. Use when working with MCP servers, dynamic tools, database access, APIs, cloud services, or needing extern...
Create and manage Claude Code plugins including commands, agents, skills, hooks, and MCP servers. This skill should be used when building new plugins, debugging plugin issues, understanding plugin structure, or...
Guide for using Ava's MCP tools effectively for task management and progress reporting. Use when working with Ava MCP server to report progress on coding tasks, including starting tasks, updating progress, repo...
Execute and generate xUnit tests for C#/.NET projects with FluentAssertions and Moq support
Execute and generate pytest tests for Python projects with fixtures, parametrization, and mocking support
Execute and generate Jest tests for JavaScript/TypeScript projects with support for unit, integration, and E2E testing
Multi-signal framework detection with confidence scoring for 6 major frameworks
Execute and generate ExUnit tests for Elixir projects with setup callbacks, describe blocks, and async testing support
Node.js/TypeScript backend framework with dependency injection and modular architecture
Automatically detect test frameworks (Jest, pytest, RSpec, xUnit) in projects by analyzing configuration files and dependencies
Execute and generate RSpec tests for Ruby projects with let bindings, before hooks, and mocking support
Create distinctive, memorable user interfaces that avoid generic AI aesthetics. Use when designing UI/UX, planning visual direction, or building pages and layouts.
Knowledge base for the Cadre DevKit. Use when answering questions about the devkit structure, commands, skills, hooks, agents, or workflows.
Methodology for discovering and specifying new software products. Use when starting greenfield projects, exploring new ideas, or defining MVP scope.
Formats code according to Ben's style guidelines for TypeScript, Python, and general best practices. Use when formatting code, fixing linting issues, checking naming conventions, organizing imports, or when use...
Generates Jest or Pytest tests following Ben's testing standards. Use when creating tests, adding test coverage, writing unit tests, mocking dependencies, or when user mentions testing, test cases, Jest, Pytest...
Consistent Tailwind CSS patterns for React/Next.js applications. Use when styling components with Tailwind, adding responsive design, implementing dark mode, or organizing utility classes.
Provides REST and GraphQL API design patterns for Node.js, Flask, and FastAPI. Use when designing endpoints, request/response structures, API architecture, pagination, authentication, rate limiting, or when wor...
Provides battle-tested error handling patterns for TypeScript and Python. Use when implementing error handling, creating try/catch blocks, or handling exceptions.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.