Why should I condense my Claude Code skills?

Shorter, denser skills are easier for AI models to parse quickly, reduce token consumption, and prevent 'lost in the middle' phenomena where the AI ignores instructions in long documents.

Does it modify the SKILL.md frontmatter?

No. The skill is constrained to preserve frontmatter exactly as-is to ensure that the skill metadata and plugin compatibility remain intact.

What happens if a skill file is still too long after compression?

The tool uses a progressive disclosure strategy, keeping high-level summaries in the main SKILL.md while moving deep technical details to a separate references directory with links.

What is the Chain-of-Density (CoD) process?

CoD is an iterative compression technique that identifies key information (entities) and densifies the surrounding text through multiple passes, resulting in content that is more informative yet shorter than the original.

Does Skill Condenser remove important technical details?

No. The skill is specifically programmed to be 'skill-aware,' meaning it prioritizes keeping commands, code blocks, and specific configurations while only removing filler phrases and redundant prose.

Skill Condenser

Name: Skill Condenser
Author: dvcrn

bydvcrn

•

コンテンツ管理

Compresses verbose SKILL.md files into terse, high-density documentation using Chain-of-Density logic.

Skill Condenser is a specialized utility designed to optimize Claude Code skill definitions by applying a modified Chain-of-Density (CoD) process. It automatically refactors lengthy, prose-heavy documentation into structured, bulleted, and tabular formats, ensuring that AI instructions remain concise, readable, and token-efficient. By prioritizing technical entities like commands, options, and error fixes while stripping away filler prose, it helps developers maintain high-performance skills that fit within model context limits without losing critical functional details.

主な機能

01Entity-aware densification prioritizing commands, options, and error-fix pairs

02Chain-of-Density (CoD) compression optimized for structured documentation

03Multi-pass orchestration (2-3 iterations) to reach specific line-count targets

043 GitHub stars

05Progressive disclosure support for refactoring massive files into sub-references

06Automatic conversion of verbose prose into tables and bulleted lists

ユースケース

01Refactoring legacy technical guides into highly efficient quick-start references

02Optimizing bloated SKILL.md files that exceed 200 lines or token limits

03Standardizing diverse documentation styles into a terse, 'AI-first' format

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dvcrn/openclaw-skills-marketplace skill-condenser

For use in Claude.ai and ChatGPT

主な機能

01Entity-aware densification prioritizing commands, options, and error-fix pairs

02Chain-of-Density (CoD) compression optimized for structured documentation

03Multi-pass orchestration (2-3 iterations) to reach specific line-count targets

043 GitHub stars

05Progressive disclosure support for refactoring massive files into sub-references

06Automatic conversion of verbose prose into tables and bulleted lists

ユースケース

01Refactoring legacy technical guides into highly efficient quick-start references

02Optimizing bloated SKILL.md files that exceed 200 lines or token limits

03Standardizing diverse documentation styles into a terse, 'AI-first' format

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add dvcrn/openclaw-skills-marketplace skill-condenser

For use in Claude.ai and ChatGPT