alpha-feature

Creating a new AI skill requires only a skill name and optional description. The automated pipeline handles input parsing, scaffold generation, compilation, testing, Git workflow, and local installation instantly.

Scaffolding a skill folder with a properly formatted SKILL.md is handled automatically during skill creation. You provide the name and description, and the system auto-creates the folder structure instantly.

Yes, you can compile and test a skill locally before committing to Git. The automated pipeline runs build and test commands to ensure the skill works before executing the Git commit and push workflow.

No, a formal release is not needed to install a newly created skill. The pipeline performs a local installation step, making the skill available for immediate use directly after the Git workflow completes.

Automating Git workflow for new skill creation is handled by the end-to-end pipeline, which commits and pushes the new skill to the repository with a conventional commit message automatically after testing.