CLAUDE.md Progressive Disclosurer FAQs

Question 1

When should I use this skill?

Accepted Answer

You should use it when your CLAUDE.md file becomes too long, when Claude begins to ignore instructions due to context noise, or whenever you want to 'optimize CLAUDE.md' to improve response speed and accuracy.

Question 2

What does the CLAUDE.md Progressive Disclosurer skill do?

Accepted Answer

This skill audits your CLAUDE.md file and applies progressive disclosure principles to reduce bloat. It identifies high-priority rules to keep and moves detailed procedures or examples into external reference files or specialized skills to maximize context efficiency.

Question 3

How does this skill improve my AI coding workflow?

Accepted Answer

By keeping the project's primary instructions lean, Claude can process your requests faster and follow core principles more reliably. It reduces token consumption while ensuring that detailed documentation is still accessible via organized pointers.

Question 4

What capabilities and metrics does it provide?

Accepted Answer

The skill provides automated line-count analysis, classification-driven optimization proposals, and before-and-after performance metrics. It can move content to a references directory, extract reusable patterns into new skills, or prune redundant information.

Question 5

Will I lose my project instructions during the optimization?

Accepted Answer

No. The skill follows a strict workflow where it proposes changes first. Content is typically moved to `~/.claude/references/` rather than deleted, and the skill adds pointers within your CLAUDE.md so the information remains discoverable by the AI.

CLAUDE.md Progressive Disclosurer

CLAUDE.md Progressive Disclosurer

소개

주요 기능

사용 사례

소개

주요 기능

사용 사례