Install brainstorming, testing, and security review skills into Claude Code to get consistent guidance on those tasks without rewriting prompts.
Set up debugging and feature-planning skills in Cursor so your AI assistant follows a structured workflow every time you ask for help.
Combine multiple skills into multi-step workflows to automate complex development processes like code review plus refactoring.
Keep your AI assistant's instructions up-to-date by re-running the installer to fetch newer versions of skills as they're released.
Antigravity Awesome Skills is a library of over 1,400 reusable "skills", structured instruction playbooks written in Markdown files called SKILL.md, that you install into AI coding assistants to make them perform recurring development tasks more reliably. The problem it solves is that AI coding tools like Claude Code, Cursor, Codex CLI, and Gemini CLI can do a lot, but without structured guidance they often produce inconsistent results on common workflows. Skills give these tools a precise, reusable set of instructions for tasks like brainstorming, writing tests, doing security reviews, planning features, debugging, and more. The way it works is straightforward: you run the installer (npx antigravity-awesome-skills) with a flag for your tool (e.g., --claude, --cursor, --gemini), and it copies the skill files to the directory your AI assistant reads its custom instructions from. After installation, you invoke a skill by name in your conversation with the AI, for example, typing /brainstorming in Claude Code or @brainstorming in Cursor, and the AI follows the detailed operating instructions from that skill file. Skills are grouped into bundles by theme (development, testing, infrastructure, security, product, marketing) and can also be combined into larger multi-step workflows. The library is versioned and updated, so you can re-run the installer to get newer skills. You would use this repository if you spend significant time with AI coding assistants and want consistent, higher-quality outputs for common tasks, essentially turning ad-hoc prompting into a repeatable process. It is aimed at developers who already use tools like Claude Code, Cursor, or Codex and want to get more out of them without writing prompt instructions from scratch. The tech stack is Python for the installer logic, distributed as an npm package for convenience, and MIT-licensed.
Generated 2026-05-18 · Model: sonnet-4-6 · Verify against the repo before relying on details.