Progressive Disclosure Architecture FAQs

Question 1

How does this skill improve my AI coding workflow?

Accepted Answer

By implementing a 3-tier architecture (Metadata, SKILL.md, and References), it reduces token consumption and improves Claude's reasoning speed. It organizes information by user journey/workflow rather than just technical features, leading to more accurate task execution.

Question 2

When should I use this skill?

Accepted Answer

You should use this skill before creating any new Claude Code skill or when refactoring existing skills that exceed 500 lines. It is essential if you notice 'context bloat,' slow tool activation times, or if Claude is struggling with irrelevant information from large documentation files.

Question 3

Can this skill help consolidate multiple related AI skills?

Accepted Answer

Yes. It provides specific strategies for merging related skills that frequently activate together. By unifying authentication and setup patterns while splitting specific capabilities into sub-references, it can reduce combined context usage significantly (e.g., from 30K to 8K tokens).

Question 4

What does the Progressive Disclosure Architecture skill do?

Accepted Answer

This skill provides a structural framework for organizing Claude Code skills into a tiered hierarchy. It prevents 'documentation dumps' by teaching Claude to load information incrementally, ensuring the context window remains focused and efficient by using a Table of Contents approach rather than an encyclopedia format.

Question 5

What are the core principles of the 3-Tier Architecture?

Accepted Answer

The architecture consists of Tier 1: Metadata (quick discovery), Tier 2: SKILL.md (core workflow and navigation under 500 lines), and Tier 3: Reference files (deep documentation loaded on-demand). This ensures Claude only processes complex details when the specific task requires them.

Progressive Disclosure Architecture

Progressive Disclosure Architecture

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主な機能

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