What problem does it solve? Monolithic CLAUDE.md files load every rule (Python style, Terraform conventions, testing, security) into every session, wasting thousands of context tokens even when the agent only edits a README. This Skill separates always-loaded universal rules from language heuristics that activate only for matching file paths. ## Core Features & Use Cases - Rule classification: Marks each rule as universal (security policies, loaded directly without a glob) or conditional (language heuristics scoped to globs like src/**/*.py or *.tf). - CLAUDE.md restructuring: Produces a rewritten CLAUDE.md with direct imports for universal rules and ## When editing <glob>: blocks for conditional ones, while clarifying that real runtime activation uses skill paths: frontmatter or path-aware hooks. - Measurable token savings: Estimates context savings by comparing input_tokens when editing a README versus editing a .py file, and resolves conflicts via subpath precedence. - Use Case: A monorepo with Python in src/ and Terraform in infra/ loads 2000 lines of rules on every edit; this Skill reclassifies them so editing the README loads only the ~120-token security policy. ## Quick Start Ask the agent to audit the repository's CLAUDE.md, classify each rule as universal or conditional by path glob, and produce the rewritten CLAUDE.md with an estimated token savings.