Agent Skills Hub

nuxt-test-skill

A testing utility for the npm-agentskills framework, designed to validate Nuxt module integration and skill discovery patterns.

agents-md-generator

Generate hierarchical, token-efficient AGENTS.md files for AI coding agents to provide repository-wide context and project-specific guidelines.

color-palette

Generate complete, accessible colour systems from a single hex. Includes 11-shade scales (50-950), semantic tokens, dark mode variants, and Tailwind v4 CSS output.

agents

Build AI agents with tool calling and multi-step reasoning. Generate, manage, and orchestrate custom skill files for Claude Code, Cursor, Cline, and other AI assistants to standardize your development workflows.

resource-scout

Search and discover Claude Code skills and MCP servers from marketplaces, GitHub repositories, and registries to enhance your AI-assisted development workflow.

task-folder-migrator

Automates the migration of legacy single-file task lists to a structured, folder-based project management system.

tavily-web

Advanced web search, content extraction, and site crawling capabilities using the Tavily API, optimized for AI agent research and data gathering.

flyio

Manage Fly.io edge infrastructure: deploy apps, scale machines, configure volumes, secrets, and networking via the Fly.io Machines API. Python-based, zero-dependency.

symbols

Token-efficient codebase navigation through intelligent symbol indexing, domain chunking, and architectural layer filtering. Reduce token usage by 60-95% when exploring or developing complex systems.

canvas

Interactive terminal UI toolkit for Claude Code. Spawn and control calendar, document, and flight booking interfaces directly within tmux panes.

moollm

A microworld operating system for LLM-based agent living memory, transforming filesystems into navigable rooms and code into habitable worlds.

interface-design

Interface design guidance for utilitarian apps, focusing on dashboards, admin panels, and data-heavy UIs using a component-library-first approach.