doc-condenser

Condense technical documentation into developer-focused specifications with file paths and code samples.

310|45|Updated Feb 22, 2026
One-click install
npx skills add https://github.com/Mathews-Tom/praxis-skills --skill doc-condenser
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: doc-condenser
Source: https://github.com/Mathews-Tom/praxis-skills/tree/main/skills/doc-condenser
Command: npx skills add https://github.com/Mathews-Tom/praxis-skills --skill doc-condenser

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

It reduces verbose technical documentation into compact, developer-focused specifications that surface file paths, key metrics, and representative code patterns for faster engineering consumption while avoiding unnecessary narrative.

Core Features & Use Cases

  • Paths first: preserves and lists full or project-relative file paths so readers can quickly locate source files.
  • Tables over prose: converts metrics, coverage, and file listings into scannable tables.
  • Code preservation rules: keeps short illustrative snippets and replaces long examples with representative patterns plus source references.
  • Use case: convert a long design document or README into a single-page implementation spec that highlights architecture, implementation files, and a quick-reference summary.
  • Guidance & constraints: enforces a 40% length cap, explicit rules for KEEP/CONDENSE/REMOVE, and a style guide for consistent formatting; see assets/template.md and references/style-guide.md for templates and patterns.

Quick Start

Condense the repository README into a 40% word-budget specification that preserves every file path and retains representative code snippets while following the style guide.

Frequently Asked Questions about doc-condenser

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

FAQPage Schema
How do I condense verbose technical documentation into a developer-focused spec?

Condense technical documentation by applying a 40% length cap, converting metrics into scannable tables, and preserving all file paths and representative code snippets. It uses KEEP, CONDENSE, and REMOVE rules to reduce narrative overhead while maintaining structural clarity for engineering consumption.

What is the best way to summarize a repository README for implementation reference?

Summarize a repository README by extracting architecture highlights and listing project-relative file paths. The process replaces long code examples with representative patterns and source references, producing a concise single-page implementation spec for quick reference.

How does documentation condensing handle code samples and file paths?

Documentation condensing preserves all full or project-relative file paths and retains short illustrative code snippets intact. Long code examples are replaced with representative patterns plus source references to maintain technical accuracy while strictly enforcing the 40% length cap.

Can I use this documentation summarization approach for API references and design documents?

Yes, documentation summarization applies to software repositories, API references, design documents, and large text sources. It enforces structural preservation and clarity, making it suitable for any verbose technical text needing a concise, developer-focused specification.

Are there limitations when condensing technical docs with a strict 40% length cap?

The 40% length cap restricts output to less than half the original word count, meaning long narrative sections and extended code blocks are removed or condensed into representative patterns. Explicit KEEP, CONDENSE, and REMOVE rules govern what content survives the reduction process.

Do I need to follow a specific style guide when generating condensed developer specs?

Yes, generating condensed developer specs requires following a referenced style guide for consistent table and header formatting. This ensures the condensed output maintains uniform structural patterns across different documentation sources and repository types.