Markdown Optimizer for LLMs
Optimizes Markdown files for LLM consumption by removing token waste and normalizing document structure.
Trim-md is a specialized utility designed to streamline Markdown documentation for efficient processing by Large Language Models (LLMs) and AI agents. By stripping away redundant formatting, unnecessary whitespace, and token-heavy bloat, it ensures that your context windows are used effectively and costs are minimized. The tool allows for granular control through exclusion comments and includes a dry-run mode to preview changes before they are applied, making it an essential part of any AI-first documentation or development workflow.
Características Principales
01Supports granular exclusion via standalone disable comments
02Normalizes document structure for improved LLM comprehension
03Reduces token usage by removing redundant markdown elements
0452 GitHub stars
05Includes a safe dry-run mode to preview optimizations
06Automates dependency checks and path resolution within Claude Code
Casos de Uso
01Standardizing autogenerated or inconsistent markdown for better agent performance
02Preparing large documentation sets for ingestion into AI context windows or RAG pipelines
03Reducing API costs and latency by minimizing the data volume of markdown files