Agent Skills Hub

arduino-mcp

An MCP server enabling agents to edit, manage, and compile Arduino IDE 2.0 sketches, including source code manipulation and automated build capabilities via arduino-cli.

patterns

A collection of design patterns for the Langroid multi-agent framework, covering agent configuration, tool handling, task orchestration, and external integrations.

pr-checks

Automate PR quality checks by reviewing CodeRabbit comments, validating PR descriptions, running pre-commit hooks, and executing test suites.

tdd-enforce

Enforce Test-Driven Development (TDD) via pre-commit hooks and CI/CD coverage gates. Automates test execution and ensures compliance with minimum code coverage thresholds.

springboot-tdd

Test-driven development (TDD) workflow for Spring Boot applications using JUnit 5, Mockito, MockMvc, and Testcontainers.

libragent-quality

Comprehensive code quality validation for LibrAgent, covering TypeScript frontend and Rust/Tauri backend via automated linting, formatting, type checking, and build verification.

turborepo

High-performance build system for JavaScript/TypeScript monorepos. Optimized for parallel task execution, remote caching, and dependency graph analysis.

skill-repo

Standardize, validate, and manage Netresearch AI agent skill repositories with automated structure enforcement, distribution workflows, and licensing compliance tools.

core-dev

Development guide for lemline-core, the stateless Serverless Workflow engine. Manage workflow execution, node navigation, state transitions, JQ expression evaluation, error handling, and parallel fork logic.

tooling-setup

Production-ready scaffolding for React 19 projects using Vite, TypeScript, Biome, and Vitest. Provides strict configuration, linting, formatting, and testing infrastructure.

create-auth-skill

Scaffold and implement authentication in TypeScript/JavaScript apps using Better Auth. Detects frameworks, configures database adapters, sets up route handlers, adds OAuth providers, and scaffolds UI pages.

autoresearch

Autonomous multi-team codebase improvement agent with specialized modes: narrow (goal-directed), broad (hypothesis-divergent), and sweep (quality-focused).