A repository-readiness skill for Codex and Claude Code that evaluates identity, metadata, topics, community health, security guidance, CI, and Git state before applying authorized local or GitHub changes.
make-project-github-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-project-github-ready exists
A codebase can be technically ready while its Git identity, metadata, security guidance, community files, secret hygiene, and CI do not support professional public collaboration.
The goal is not simply to add another tool. make-project-github-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 identify readiness gaps.
- Prepare factual community and CI materials.
- Propose accurate repository metadata.
- Create/configure a repository only when authorized and verify the resulting state.
The experience
Audits and prepares professional GitHub repositories with explicit local and remote mutation stages.
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-project-github-ready:
- Visibility, repository creation, branch/settings changes, and pushes are external mutations.
- Licenses and homepage URLs cannot be assumed.
- Partial remote success must not trigger destructive compensation.
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.