AI-agent skills for distributed-systems testing
A curated collection of system prompts and tool definitions from production AI coding agents
Continual Learning & Self-improving skills system for Claude Code - learn from corrections, never repeat mistakes
Extracted system prompts from Anthropic - Claude Fable 5.1, Opus 5, Claude Design, Claude Code. OpenAI - ChatGPT GPT-6-Astra, Codex. Google - Gemini 3.8 Flash, 3.1 Pro, Antigravity. xAI - Grok, Grok Bot, Cursor, Kimi and more! Updated regularly.
Extract design tokens (colors, typography, spacing, border radius, shadows) from any public website. Generates JSON and CSS custom properties for local projects. Available as an AI agent skill (Claude, Cursor, Codex) and standalone CLI.
A curated list of autonomous improvement loops, research agents, and autoresearch-style systems inspired by Karpathy's autoresearch.
NVIDIA Design System and UI Agent Harness for AI/ML Factories, Robotics, and Autonomous Vehicles
Understand any codebase instantly. System intelligence for codebases, built for humans and AI.
open-source skill that learns any brand and turns it into a complete design system. works on claude code and codex. install once, every UI your assistant builds matches your brand.
Architecture Deep Research: deep research for strategic system design decisions.
Project management skill system for Agents that uses GitHub Issues and Git worktrees for parallel agent execution.
Gridgeist turns product intent into a rigorous visual system—without the generic AI SaaS aftertaste.
AI-powered software development system that automates the entire lifecycle from requirements analysis to code delivery through specialized agent collaboration.
On-demand design systems from any URL. Five surfaces, one agent: web, API, CLI, TypeScript SDK, and a portable agent skill that runs inside Claude Code, Codex, and Cursor.
An open Agent Skill for extracting poster design systems and transferring them to original poster concepts.
Design engineering system for AI coding agents — ship UI with craft-level quality. Install as an agent skill.
Multi-agent harness that runs Claude Code and Codex together as one system
Markdown that steers an LLM is code. Genesis is the architectural layer for designing multi-agent, multi-skill systems -- with named patterns, contracts, and substrate portability, before you write them.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Zotero AI plugin Research assistant for Zotero 9. Chat with your library, run federated scholarly search, RAG, OCR, systematic reviews, and manage cloud storage. Includes standalone MCP, Agentic capabilities, and skills library.
Claude Code, Codex, and multi-agent configuration system: principles, hooks, skills, and workflow patterns for AI-assisted development

🥷 A code-first, strongly-typed build automation system for Deno.
The best-benchmarked open-source AI memory system. And it's free.
Multi-agent team operating system for Claude Code. 108 MCP tools, 40+ agent templates, 10 lifecycle hooks, 7 pipeline workflows. Persistent teams, structured meetings, task wall, real-time React dashboard. No LangChain/AutoGen — pure CC native integration.