progressive-disclosure

name	progressive-disclosure
description	Template and guide for restructuring large documentation files into token-efficient directory structures. Reduces context bloat by 40-60% while maintaining accessibility.
license	MIT
compatibility	Standalone, no special dependencies
metadata	{"author":"bob","version":"1.0.0","tags":["documentation","context-optimization","token-efficiency","restructuring"],"requires_tools":[],"requires_skills":[]}

Progressive Disclosure for Documentation

A pattern for restructuring large documentation files into slim indexes with on-demand subdirectories, reducing always-included context by 40-60%.

Problem

Large documentation files (500+ lines, 5k+ tokens) that are always included in context:

• Waste context budget on rarely-needed content
• Slow down response times
• Crowd out more relevant information
• Create cognitive overload

Solution

Split monolithic docs into:

1. Slim index (~20% of original) - Always included, provides overview + navigation
2. Detail directories - On-demand loading when specific topics needed

Structure

Before:
  TOOLS.md (~11k tokens always included)
  ├── Section 1 (rarely needed)
  ├── Section 2 (rarely needed)
  ├── ... (15+ sections)
  └── Section N (rarely needed)

After:
  tools/
  ├── README.md (~4k tokens always included)  # Slim index
  ├── topic1/README.md   # Detailed docs (~1k tokens each)
  ├── topic2/README.md   # Loaded on-demand
  └── .../README.md      # etc.

When to Use

Good candidates for progressive disclosure:

• Files > 500 lines or 5k tokens
• Files always included in context (via gptme.toml or similar)
• Files with distinct sections that are rarely needed together
• Documentation with both overview and detailed reference content

Keep as single file when:

• File is < 200 lines
• Content is frequently needed together
• Structure is already lean
• Users commonly need complete view

Implementation Guide

Step 1: Analyze Current Structure

Count tokens and identify sections:

# Count lines and estimate tokens
wc -l LARGE_FILE.md
# Rough: 1 line ≈ 8 tokens

# Identify sections (look for ## headers)
grep "^## " LARGE_FILE.md | head -20

Step 2: Create Directory Structure

# Create topic directories
mkdir -p topic_dir/{topic1,topic2,topic3}

Step 3: Write Slim Index (README.md)

The index should contain:

• Brief overview (2-3 paragraphs max)
• Quick reference/cheatsheet (most common operations)
• Navigation links to detailed docs
• When to read which section

Example slim index structure:

# Topic Name

Brief overview of what this covers and core concepts.

## Quick Reference

| Command | Description |
|---------|-------------|
| cmd1    | Most common operation |
| cmd2    | Second most common |
| cmd3    | Third most common |

## Detailed Documentation

For specific topics, see:

- **Topic 1** (topic1/README.md) - When you need X
- **Topic 2** (topic2/README.md) - When you need Y
- **Topic 3** (topic3/README.md) - When you need Z

## Principles

1. Core principle 1
2. Core principle 2
3. Core principle 3

Step 4: Create Detail Files

Each topic README should:

• Be self-contained for its topic
• Include examples and use cases
• Cross-reference related topics
• Stay under ~200 lines (~1.5k tokens)

Step 5: Update Configuration

Update gptme.toml (or equivalent) to include the slim index:

[context]
# Before: included entire large file
# files = ["LARGE_FILE.md"]

# After: include only slim index
files = ["topic_dir/README.md"]

Example: TOOLS.md Migration

Before:

• TOOLS.md: 1380 lines, ~11k tokens, always included
• 15+ sections covering shell, git, github, context, etc.

After:

• tools/README.md: 200 lines, ~1.5k tokens (slim index)
• tools/{shell,git,github,context,...}/README.md: ~150 lines each
• Agent reads detailed docs only when working on specific topics

Result: 44% reduction in always-included context

Benefits

1. Token Efficiency: 40-60% reduction in always-included tokens
2. Faster Responses: Less context to process
3. Better Focus: Agent sees relevant content when needed
4. Maintainability: Smaller files easier to update
5. Claude-Style Organization: Similar to Anthropic's skill folders

Anti-patterns to Avoid

1. Too many small files: Don't split into 50+ tiny files
2. Deep nesting: Keep to 2 levels max (index + details)
3. Orphan content: Ensure all detail files linked from index
4. Missing quick reference: Index must have actionable content
5. Over-splitting: Some content should stay together

Related

• Issue #49 - Original proposal