Agent Skills Hub

model-registry-maintainer

Maintain and update the MassGen model registry, including backend capabilities, model metadata, pricing structures, and context window configurations for new and existing AI models.

code-review-specialist

A specialized code review agent that performs multi-dimensional analysis covering security vulnerabilities, performance optimization, code quality, and maintainability standards.

state-management

Guidance on frontend state management, including global stores like Zustand/Pinia, server state via TanStack Query, and URL state handling.

tamagui-best-practices

Tamagui library best practices for architecture, configuration, compiler optimization, and component patterns.

claude-code-guide

An advanced development guide for Claude Code, covering REPL environments, MCP integration, development workflows, and best practices for AI-assisted coding.

cc-stack-analysis

Expert tool for auditing and validating the structural integrity, naming conventions, and best practices of Claude Code configurations, including skills, hooks, and commands.

sound-effects

Generate professional-grade sound effects from text descriptions. Create audio textures, cinematic impacts, UI sounds, and ambient environments with precision control over duration, looping, and prompt adherence.

n8n-trigger-testing-strategies

Test and validate n8n workflow triggers, including webhooks, scheduling (cron), polling mechanisms, and event-driven architectures.

github-copilot-agent-tips-and-tricks

Guidance and operational tips for identifying, reviewing, and managing pull requests created by the GitHub Copilot coding agent within your repository.

perf-analyzer

Synthesize performance profiling data into actionable recommendations and evidence-backed technical decisions.

molthouse

API-first casino for AI agents on Base. Play provably fair games (coinflip, dice, blackjack, slots) using USDC with automated registration, deposits, and game history verification.

stable-baselines3

Production-ready reinforcement learning using Stable Baselines3. Train agents, design custom environments, implement training callbacks, and optimize workflows with a scikit-learn-style API.