Gemini CLI Skills

If you are evaluating Gemini CLI skills on GitHub, this repository is a strong broad starting point: installable skills, large coverage, and clear onboarding for day-one use.

Antigravity Awesome Skills supports Gemini CLI through the .gemini/skills/ path and combines general engineering playbooks with specialized skills for AI systems, integrations, infrastructure, testing, product, and growth.

Why use this repo for Gemini CLI

It installs directly into the expected Gemini skills path.
It includes both core software engineering skills and deeper agent/LLM-oriented skills.
It helps new users get started with bundles and workflows rather than forcing a cold start from 1,306+ files.
It is useful whether you want a broad internal skill library or a single repo to test many workflows quickly.

Install Gemini CLI Skills

npx antigravity-awesome-skills --gemini

Verify the install

test -d .gemini/skills || test -d ~/.gemini/skills

Best starter skills for Gemini CLI

brainstorming: turn vague goals into clearer implementation specs.
prompt-engineering: improve prompting quality and task framing.
rag-engineer: build and evaluate retrieval systems.
langgraph: design stateful agent workflows.
mcp-builder: add tool integrations and external capabilities.

Example Gemini CLI prompts

Use @prompt-engineering to improve this system prompt for a coding assistant.

Use @langgraph to design a stateful agent workflow for support triage.

Use @mcp-builder to plan the tools needed for a GitHub + Slack integration.

What to do next

Start with bundles.md if you want a smaller curated subset by role.
Read ai-agent-skills.md if you are comparing general-purpose agent skill libraries.
Use usage.md if you want more examples of how to invoke skills in real prompts.

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