Google's pre-packaged prompts for cloud LLM agents
A repo of reusable "skills" that teach agent frameworks how to talk to Google Cloud APIs and follow its well-architected pillars.

What it does
This repository bundles structured prompt modules — “Agent Skills” — for Google products and technologies, mostly Google Cloud. Install them via npx skills add google/skills and pick the ones you need. Each skill is essentially a recipe that tells an LLM agent how to interact with a specific API or follow a specific operational practice.
The interesting bit Google is treating prompt engineering as infrastructure. Rather than hoping your agent figures out BigQuery or GKE on its own, you slot in a pre-built skill — like a driver for a very chatty, very forgetful coworker. The Well-Architected Framework skills (security, reliability, cost, etc.) are the unusual ones: they don’t teach APIs, they teach an agent to audit your architecture against Google’s own pillars.
Key highlights
- Covers Gemini API, AlloyDB, BigQuery, Cloud Run, Cloud SQL, Firebase, GKE, and more
- Includes “recipe” skills for onboarding, auth, and network observability
- Six Well-Architected Framework skills for operational review
- Installed via
npx skills add, not pip or npm directly - Apache 2.0 licensed
Caveats
- Repository is under active development; skill definitions may shift
- Actual skill content lives in subdirectories; the README is just a catalog
- It’s unclear which agent frameworks consume these skills or how compatibility works
Verdict Worth a look if you’re building agents that operate Google Cloud infrastructure and want to outsource the prompt-crafting. Skip it if you’re not using an agent framework that supports the skills.sh ecosystem — it’s not standalone tooling.