Worktree Context
Organize AI agent configurations and source code separately so they can be configured independently and versioned together.
Overview
Worktree-context is a project bootstrapper that establishes clean separation between AI agent configurations and source code repositories. Solo builders use it when starting a new AI project to avoid architectural debt early. It matters because mixing config and code creates brittle systems where changing prompts or model parameters accidentally breaks application logic, while separated concerns let teams iterate faster on either layer independently.
Install
npx skills add https://github.com/iknite/claude-code-marketplace --skill worktree-contextWhat is this skill?
- Separate AI config from source code
- Enable independent versioning and deployment
- Reduce coupling between agent logic and configuration
Recommended Skills
Journey fit
Worktree-context helps validate AI project structure early by providing a scalable separation-of-concerns pattern before committing to a full build. In the prototype phase, builders need clean architectural patterns to test whether their AI configuration approach scales; this tool provides that template.