A Python tool for splitting large Markdown files into smaller sections based on a specified token limit. This is particularly useful for processing large Markdown files with GPT models, as it allows the models to handle the data in manageable chunks.

an agentic skills framework that equips any LLM coding agent (Cursor, Claude Code, Codex, OpenCode) with hardened markdown processing superpowers — auto wiki-linking, concept extraction, mermaid/LaTeX healing, web research, and knowledge graph construction.

A .NET library for processing and manipulating YAML frontmatter in markdown files.

A Python tool for validating and standardizing markdown document structure before LLM processing. Configurable field validation, auto-correction, and YAML-based rules for document preprocessing.

A Python tool for combining text documents into consolidated files for Large Language Model processing. Creates organized document stacks with configurable sorting and formatting options.

A fast CLI tool and Rust library to format and beautify Markdown files with configurable style rules. Handles table alignment, heading spacing, list normalization, and code block formatting.

GPT browser automation scraper

Markdown filtering, composing, and transformations. All non-destructive. A Headless Ruby gem for composing multiple Markdown docs without changing sources. Selector-based filtering, includes, actions, and output transforms for framework-independent Markdown workflows.