claude-md-progressive-disclosurer

Organize CLAUDE.md content into Level 1 essentials and Level 2 references.

Updated Apr 21, 2026
One-click install
npx skills add https://github.com/HuuBar/skill-routing-experiment --skill claude-md-progressive-disclosurer-huubar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: claude-md-progressive-disclosurer
Source: https://github.com/HuuBar/skill-routing-experiment/tree/main/unified_skills/daymade/claude-md-progressive-disclosurer
Command: npx skills add https://github.com/HuuBar/skill-routing-experiment --skill claude-md-progressive-disclosurer-huubar

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

CLAUDE.md tends to bloat as new guidance is added across levels; this skill provides a disciplined progressive disclosure architecture to keep critical information readily accessible while surfacing details only when needed.

Core Features & Use Cases

  • Two-tier architecture: Level 1 (essential commands and rules) and Level 2 (detailed SOPs, edge cases) to balance quick access with depth.
  • Multiple entry points: open-ended reference index at the top and a trailing trigger index to guide long conversations.
  • Useful for teams documenting prompt guidelines, SOPs, and debugging workflows where clarity and traceability are essential.

Quick Start

Create a CLAUDE.md structured with Level 1 essentials and Level 2 references, then validate reference readiness and trigger placements.

Frequently Asked Questions about claude-md-progressive-disclosurer

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure CLAUDE.md to prevent prompt bloat?

Structure CLAUDE.md using a two-level progressive disclosure architecture with Level 1 essentials and Level 2 references. This separates critical commands from detailed SOPs, optimizing information density so the LLM accesses depth only when explicitly triggered by errors or questions.

What is progressive disclosure in prompt engineering documentation?

Progressive disclosure in prompt engineering is an architecture that organizes documentation into essential rules and detailed references. It enforces a reference-driven workflow with mandatory trigger conditions, allowing LLMs to reason about where to read details only when needed during long conversations.

How do I trigger detailed SOP reads in CLAUDE.md during errors?

Trigger detailed SOP reads by codifying explicit trigger conditions within the CLAUDE.md architecture. The system uses a trailing trigger index to guide long conversations, ensuring Level 2 references are fetched only when specific errors occur or questions arise.

Does progressive disclosure work for managing team prompt guidelines and debugging workflows?

Yes, progressive disclosure works for team prompt guidelines and debugging workflows by providing a two-tier architecture. It maintains clarity and traceability across multiple entry points, balancing quick access to essential commands with maintainable detailed edge cases.

When should I not use a two-tier progressive disclosure architecture for documentation?

Avoid a two-tier progressive disclosure architecture when documentation prompts are lightweight and lack complex SOPs or reference materials. It is designed for documentation-heavy prompts where rules must be quickly accessible yet maintainable, adding unnecessary overhead to simple prompt structures.