bb2304a34f
Add installer filters for risk, category, and tags so maintainers and users can ship smaller skill surfaces to context-sensitive runtimes. Document the reduced-install flow for OpenCode-style hosts, add the humanize-chinese community skill, and sync the generated catalog and plugin-safe artifacts that now reflect the release batch. Refs #437 Refs #440 Refs #443
57 lines
2.3 KiB
Markdown
57 lines
2.3 KiB
Markdown
# Gemini CLI Skills
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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.
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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.
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## How to use Antigravity Awesome Skills with Gemini CLI
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Install into the Gemini skills path, then ask Gemini to apply one skill at a time to a specific task. This works best when you keep the active set small and choose a clear workflow-oriented skill for the job in front of you.
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## Why use this repo for Gemini CLI
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- It installs directly into the expected Gemini skills path.
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- It includes both core software engineering skills and deeper agent/LLM-oriented skills.
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- It helps new users get started with bundles and workflows rather than forcing a cold start from 1,344+ files.
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- It is useful whether you want a broad internal skill library or a single repo to test many workflows quickly.
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## Install Gemini CLI Skills
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```bash
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npx antigravity-awesome-skills --gemini
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```
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### Verify the install
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```bash
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test -d .gemini/skills || test -d ~/.gemini/skills
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```
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## Best starter skills for Gemini CLI
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- [`brainstorming`](../../skills/brainstorming/): turn vague goals into clearer implementation specs.
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- [`prompt-engineering`](../../skills/prompt-engineering/): improve prompting quality and task framing.
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- [`rag-engineer`](../../skills/rag-engineer/): build and evaluate retrieval systems.
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- [`langgraph`](../../skills/langgraph/): design stateful agent workflows.
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- [`mcp-builder`](../../skills/mcp-builder/): add tool integrations and external capabilities.
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## Example Gemini CLI prompts
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```text
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Use @prompt-engineering to improve this system prompt for a coding assistant.
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```
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```text
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Use @langgraph to design a stateful agent workflow for support triage.
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```
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```text
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Use @mcp-builder to plan the tools needed for a GitHub + Slack integration.
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```
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## What to do next
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- Start with [`bundles.md`](bundles.md) if you want a smaller curated subset by role.
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- Read [`ai-agent-skills.md`](ai-agent-skills.md) if you are comparing general-purpose agent skill libraries.
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- Use [`usage.md`](usage.md) if you want more examples of how to invoke skills in real prompts.
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