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Documentation AI Skills

Discover Documentation skills, compare source repositories and read the instructions for each workflow.

Categories: Documentation

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GitHub

hardhat-setup

IvanTorresEdge

Templates and automation for initializing and configuring Hardhat projects. Use when setting up new Hardhat projects or adding Hardhat to existing codebases.

GitHub

benchmarking

IvanTorresEdge

Performance benchmarking techniques and analysis. Use when measuring performance.

GitHub

code-quality

IvanTorresEdge

Standards for maintaining high code quality including comments, test coverage, and documentation practices

GitHub

project-structure

IvanTorresEdge

Standard Go project layouts and architecture patterns. Use when initializing projects or understanding codebase structure.

GitHub

gluestack-ui-setup

IvanTorresEdge

Gluestack-ui component library setup and usage. Use when implementing pre-built accessible components.

GitHub

shadcn-ui-setup

IvanTorresEdge

shadcn/ui component library setup and customization. Use when building UIs with pre-built components.

GitHub

testing-standards

IvanTorresEdge

Standards and best practices for writing effective tests including the testing pyramid, test structure patterns, and coverage guidelines

GitHub

responsive-design

IvanTorresEdge

Mobile-first responsive design patterns. Use when building responsive layouts and components.

GitHub

nextjs-deployment

IvanTorresEdge

Next.js deployment strategies and platform configurations. Use when deploying Next.js applications.

GitHub

foundry-setup

IvanTorresEdge

Templates and automation for initializing and configuring Foundry projects. Use when setting up new Foundry projects or adding Foundry to existing codebases.

GitHub

zustand-patterns

IvanTorresEdge

Zustand state management patterns. Use when implementing client-side state with Zustand.

GitHub

performance-patterns

IvanTorresEdge

React performance optimization including memoization, code splitting, and lazy loading. Use when optimizing React applications.

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.

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