codebase-skeleton

You can extract function signatures and class structure by compressing a source code repository into a compact skeleton that captures imports, decorators, and signatures without function bodies. This produces a structured outline suitable for small-context LLMs to understand the codebase efficiently.

A codebase skeleton is a compact representation of a repository that captures structure and signatures without function bodies. You need one for code review, onboarding, or architecture planning when you want to understand the overall code layout without loading full implementations.

Yes, you can generate compact skeletons across Python and multi-language repos. The extraction process pulls imports, classes, functions, decorators, and truncated docstrings into a reproducible tree or JSON-like format regardless of the language mix.

Yes, the skeleton extraction process handles syntax errors gracefully by skipping unparsable files to maintain a usable outline. This ensures that broken files in a repository do not halt the generation of the overall signature map.

The best way is to run a skeleton extraction script on the repository to generate a compact signature map. By extracting type hints, imports, and truncated docstrings without bodies, the resulting structured output fits within small-context model limits.