claude-md-optimizer

To shrink an oversized CLAUDE.md file without losing context, apply progressive disclosure to categorize sections, extract reference content into verbatim sub-documents, and rewrite the main file with navigation links. This ensures zero information loss while reducing inline cognitive load.

Progressive disclosure for CLAUDE.md files is an optimization technique that reduces inline content by moving reference sections into external sub-documents. Essential rules stay inline while detailed information is linked through a Sub-Documentation Table, preserving full information fidelity.

Yes, you can optimize a CLAUDE.md file with encryption constraints. The optimization process detects encryption requirements and plans safe sub-document extraction, ensuring extracted content remains verbatim and compliant with CI and encryption safety rules.

Reduce CLAUDE.md context window usage by categorizing sections into Essential, Reference, and Redundant groups. Essential rules stay inline while reference content moves to generated sub-documents, validated to ensure zero information loss and full CI-compatibility.

No, optimizing CLAUDE.md documentation does not negatively affect CI pipeline compatibility. The process ensures extracted content remains verbatim and essential rules stay inline, satisfying CI-compatibility and zero-loss validation constraints throughout the sub-document extraction.

Use progressive disclosure on your CLAUDE.md when the document becomes oversized and wastes cognitive load or context window budget. It allows you to compress inline content while preserving 100% information fidelity by moving reference material to linked sub-documents.