skills.rest
YelpYelpOfficial·2 Agent Skills Included

paasta

Deploy, test, and manage containerized services on Kubernetes

Automates building, deploying, and monitoring containerized services on Kubernetes using simple declarative configs. Eliminates hand-written Kubernetes YAML, manual deployment steps, and scattered monitoring setup. Includes skills for generating API endpoints and testing changes against a local Kind cluster before production release.
1,730|251
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npx skills add Yelp/paasta --all -g -y
Available:

Instructs the AI agent on PaaSTA's development workflow, including planning before coding, running tests, managing dependencies, and following typing and commit conventions.

All Skills in This Repository (2)

Pure Emerald Level Indicators
📦 In Repo
YelpYelp

paasta-api-endpoint

Generate PaaSTA API endpoints with view functions, routes, Swagger documentation, and unit tests.

Official
Advanced
📦 In Repo
YelpYelp

paasta-playground

Test PaaSTA code changes against a local Kind Kubernetes cluster playground environment.

Official
Advanced

Frequently Asked Questions

FAQPage Schema
How to install PaaSTA?▼

Run `npx skills add Yelp/paasta --all -g -y` in your terminal to install all skills in this suite globally.

What does PaaSTA do?▼

PaaSTA is Yelp's platform for building, deploying, and running containerized services on Kubernetes. It turns simple declarative configs into full deployments with monitoring, logging, and autoscaling.

How to test PaaSTA changes locally?▼

The paasta-playground skill runs your code against a local Kind Kubernetes cluster, letting you verify CLI commands, API changes, and deployments against real pods before shipping.

Can AI add a new PaaSTA API endpoint?▼

Yes. The paasta-api-endpoint skill generates the view function, route registration, Swagger and OpenAPI docs, and unit tests following PaaSTA conventions automatically.

Does PaaSTA work outside Yelp?▼

PaaSTA is open source and its code is useful for learning, but it depends on Yelp-specific infrastructure, so running it in production elsewhere is not recommended.

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