By sickn33
Build and evaluate production-grade AI agents using LangGraph, RAG systems, MCP servers, and prompt engineering patterns—with behavioral testing and reliability monitoring.
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks
Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration.
Expert in LangGraph - the production-grade framework for building stateful, multi-actor AI applications. Covers graph construction, state management, cycles and branches, persistence with checkpointers, human-in-the-loop patterns, and the ReAct agent pattern.
Create MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. The quality of an MCP server is measured by how well it enables LLMs to accomplish real-world tasks.
Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug agent behavior.
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Installable GitHub library of 1,460+ agentic skills for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, and other AI coding assistants.
Antigravity Awesome Skills is an installable GitHub library and npm installer for reusable SKILL.md playbooks. It is designed for Claude Code, Cursor, Codex CLI, Gemini CLI, Antigravity, Kiro, OpenCode, GitHub Copilot, and other AI coding assistants that benefit from structured operating instructions. Instead of collecting one-off prompt snippets, this repository gives you a searchable, installable catalog of skills, bundles, workflows, plugin-safe distributions, and practical docs that help agents perform recurring tasks with better context, stronger constraints, and clearer outputs.
You can use this repo to install a broad multi-tool skill library, start from role-based bundles, or jump into workflow-driven execution for planning, coding, debugging, testing, security review, infrastructure, product work, and growth tasks. The root README is intentionally a high-signal landing page: understand what the project is, install it quickly, choose the right tool path, and then follow deeper docs only when you need them.
Start here: Star the repo · Install in 1 minute · Choose your tool · Best skills by tool · 📚 Browse 1,460+ Skills · Bundles · Workflows · Plugins for Claude Code and Codex
Current release: V11.3.0. Trusted by 38k+ GitHub stargazers, this repository combines official and community skill collections with bundles, workflows, installation paths, and docs that help you go from first install to daily use quickly.
npx antigravity-awesome-skills to put skills where your tool expects them.Most users should start with the full library install and use bundles or workflows to narrow down what to try first.
npx claudepluginhub sickn33/antigravity-awesome-skills --plugin antigravity-bundle-agent-architectPlugin-safe Claude Code distribution of Antigravity Awesome Skills with 1,561 supported skills.
Editorial "Business Analyst" bundle for Claude Code from Antigravity Awesome Skills.
Editorial "QA & Testing" bundle for Claude Code from Antigravity Awesome Skills.
Editorial "SEO Specialist" bundle for Claude Code from Antigravity Awesome Skills.
Editorial "Apple Platform Design" bundle for Claude Code from Antigravity Awesome Skills.
Editorial "LLM Application Developer" bundle for Claude Code from Antigravity Awesome Skills.
Unified capability management center for Skills, Agents, and Commands.
Multi-agent collaboration plugin for Claude Code. Spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any problem that benefits from diverse solutions. Evaluate by metric or LLM judge, merge the winner. 7 slash commands, agent templates, git DAG orchestration, message board coordination.
Complete collection of 117 specialized AI agents across 11 categories
LLM application development with LangGraph, RAG systems, vector search, and AI agent architectures for Claude 4.6 and GPT-5.4
Core ACE workflow with TDD-based skills, task enforcement, and quality reviewers