Browse and Install AI Agent Skills

langgenius

Обзор бэкенд-кода - это процесс анализа кода для выявления проблем качества, безопасности и поддержки.

langgenius

The component-refactoring skill simplifies high-complexity React components, improving code quality and reducing maintenance efforts for developers. It utilizes patterns and workflows to refactor components, making them more efficient and easier to understand.

langgenius

Generate Vitest + React Testing Library tests for Dify frontend components, hooks, and utilities. Triggers on testing, spec files, coverage, Vitest, RTL, unit tests, integration tests, or write/review test requests.

langgenius

This frontend-code-review skill reviews frontend files, such as .tsx, .ts, and .js, and applies a checklist to ensure code quality, performance, and business logic, helping developers and teams maintain high standards.

langgenius

Frontend-запрос и мутация - это шаблон реализации для сохранения контрактов как единственного источника правды

langgenius

Guide for implementing oRPC contract-first API patterns in Dify frontend. Trigger when creating or updating contracts in web/contract, wiring router composition, integrating TanStack Query with typed contracts, migrating legacy service calls to oRPC, or deciding whether to call queryOptions directly vs extracting a helper or use-* hook in web/service.

simstudioai

Build, deploy, and orchestrate AI agents. Sim is the central intelligence layer for your AI workforce.

llama-farm

The wt skill streamlines AI model deployment, enabling developers to work efficiently with isolated environments and parallel coding sessions, perfect for AI coding workflows

llama-farm

Deploy any AI model, agent, database, RAG, and pipeline locally or remotely in minutes

kreuzberg-dev

git-standards is a high-performance HTML to Markdown converter that maintains Conventional Commits 1.0.0 standards, benefiting developers with structured data extraction from 56+ document formats.

tidyverse

Database (DBI) backend for dplyr

taylorsatula

This is the public release of MIRA OS. Discrete memories decay through momentum loss, tools auto-configure when dropped into tools/ folder, and the system prompt composes from modular trinkets. I would like to think I've made an elegant brain-in-box. You load it and send cURL requests - it talks back, learns, and uses tools. Contributions welcome.