A deployment-readiness skill for Codex and Claude Code that detects framework and runtime behavior, validates Netlify configuration and output paths, and prepares evidence-backed local repairs without implicitly deploying.
make-app-netlify-ready is a AI-agent skill created to make a real workflow clearer, faster, and easier to trust. It turns a focused product idea into something people can use, evaluate, and understand without needing to inspect the source code.
Why make-app-netlify-ready exists
A build can succeed locally yet fail on Netlify because base paths, publish directories, runtime models, redirects, adapters, or environment requirements are misidentified.
The goal is not simply to add another tool. make-app-netlify-ready is designed to reduce the friction around that problem and give people a more dependable way to complete the work.
What it delivers
- Agents can classify a project's runtime model.
- Repair minimal local configuration.
- Verify root/nested routes and output shape.
- Separate a deployment-ready local state from unperformed dashboard/deploy actions.
The experience
Audits and prepares reliable Netlify build contracts for static, SPA, SSR, and hybrid web apps.
The project brings the important parts of the workflow into one coherent experience. Its interface and behavior are shaped around the people using it, while the implementation stays focused on predictable results and honest feedback.
What to know
Every product has boundaries. These are the most important considerations for make-app-netlify-ready:
- Static, SPA, hybrid, and SSR routing require different contracts.
- Netlify adapter behavior is framework/version-sensitive.
- Dashboard/environment/deployment changes are remote actions that need explicit authority.
These limitations are presented openly so visitors can understand where the project works well, what it depends on, and what may change in future versions.
Current status
Published npm package v0.1.0. The current release demonstrates the core value of the project and the main end-to-end experience.
My role was agent workflow design and automation engineering, covering agent workflow, validation automation, and packaging. The related case study explains the decisions and delivery process in greater depth for visitors who want the engineering story behind the product.