antigravity-skills-reference/docs/users/gemini-cli-skills.md

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 1,304+ 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.