How does this methodology improve code reviews?

It keeps AI-specific files and configuration changes out of your feature commits, ensuring reviewers only focus on business logic rather than tooling noise.

Can I share these AI settings with my team?

Absolutely. Since the context exists on its own branch, you can push it to your remote repository, allowing the whole team to sync the same AI guidelines.

Will this work with my existing repositories?

Yes, you can migrate existing repos by creating an orphan context branch and restructuring the local directory into the nested worktree format.

Can Claude still see my instructions if they are in a separate branch?

Yes. By running Claude from the 'context' worktree which contains the nested code worktrees, the AI maintains visibility of both the top-level instructions and the source code.

Git Worktree Context Methodology

Name: Git Worktree Context Methodology
Author: iknite

byiknite

開発者ツール

Organizes AI configuration and project source code into separate Git worktrees to maintain a clean repository history.

概要

This skill implements a specialized Git architectural pattern that isolates AI-specific metadata, such as CLAUDE.md and .claude/ directories, from your project's production codebase. By utilizing a dedicated orphan 'context' branch and a nested worktree structure, it ensures that AI instructions and tooling never clutter your business logic or code reviews. This methodology provides a sophisticated separation of concerns, allowing developers to manage AI prompts and configurations independently while Claude Code maintains full visibility across both the configuration and the nested source code worktrees.

主な機能

Automated detection of default branches (main vs master)
Workflow automation for creating feature branches from a clean base
0 GitHub stars
Nested Git worktree architecture for hierarchical context access
Prevention of AI metadata noise in production pull requests
Separates AI configuration from source code history using orphan branches

ユースケース

Sharing standardized team-wide AI settings via a dedicated branch
Keeping CLAUDE.md and AI instructions out of project git logs
Managing multiple feature worktrees simultaneously without context switching

概要

主な機能

Automated detection of default branches (main vs master)
Workflow automation for creating feature branches from a clean base
0 GitHub stars
Nested Git worktree architecture for hierarchical context access
Prevention of AI metadata noise in production pull requests
Separates AI configuration from source code history using orphan branches

ユースケース

Sharing standardized team-wide AI settings via a dedicated branch
Keeping CLAUDE.md and AI instructions out of project git logs
Managing multiple feature worktrees simultaneously without context switching