Why this exists and the problem it solves.
AI coding assistants like Claude Code are powerful, but they waste significant tokens exploring your codebase from scratch on every query. They read files they don't need, lose context when the window fills up, and have no memory of what they've already done in the session.
The result: higher costs, slower responses, and less accurate outputs — especially on complex tasks that touch multiple files.
codebase-context-skill is a context engineering middleware that sits between your queries and Claude Code. It indexes your codebase once, then ensures every subsequent query gets exactly the right context — no more, no less.
It works like how engineering teams actually operate: understand the architecture first, scope the change, track what was touched, and verify the results. All of this happens locally via markdown files that persist across the session.
codebase-context-skill is MIT licensed and open source. Contributions, issues, and feature requests are welcome on GitHub.
This skill follows the Agent Skills Open Standard by Anthropic, making it compatible with Claude Code and other AI coding assistants that adopt the specification.
Developed by Anit Chaudhary