markdown-helper

Name: markdown-helper
Availability: InStock
Author: interstellar-code

Parse and transform Markdown files using Node.js-based local tooling.

17|8|Updated Oct 21, 2025

Search Tags:#linting #markdown #mermaid #CLI #parsing #diagram #token-savings

Ready to run

npx skills add https://github.com/Interstellar-code/claud-skills --skill markdown-helper

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: markdown-helper
Source: https://github.com/Interstellar-code/claud-skills/tree/main/generic-claude-framework/skills/markdown-helper
Command: npx skills add https://github.com/Interstellar-code/claud-skills --skill markdown-helper

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill reduces token usage by parsing and manipulating Markdown content without loading entire files into Claude's context, enabling faster and cheaper interactions when working with large documentation.

Core Features & Use Cases

Header and Table Extraction: Quickly extract headers, tables, and lists from Markdown without bloating context.
Diagram Generation: Create Mermaid diagrams from Markdown workflows for visual documentation.
Linting and Formatting: Auto-fix formatting and lint across single files or broad patterns to ensure consistency.
Bulk Operations: Apply replacements and analyses across many files with minimal token overhead.
Use Case: Imagine scanning a 1,000-line spec to pull headers, generate a diagram, and lint formatting in a single command sequence.

Quick Start

Run the Markdown Helper to extract headers from a file: node ~/.claude/skills/markdown-helper/md-helper.js extract-headers README.md

Frequently Asked Questions about markdown-helper

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

FAQPage Schema

How do I parse Markdown files without loading the full content into Claude's context?▼

Token-efficient Markdown parsing extracts headers, tables, and lists directly from files without bloating the context window. This reduces token usage and enables faster interactions when working with large documentation projects.

How do I generate Mermaid diagrams from Markdown workflows?▼

You can generate Mermaid diagrams from Markdown workflows using local CLI tooling. The Skill leverages mermaid-cli to transform text-based documentation into visual diagrams for real-world documentation projects.

Can I lint and auto-fix formatting across multiple Markdown files at once?▼

Yes, bulk linting operations use markdownlint-cli2 to auto-fix formatting across single files or broad file patterns. This ensures documentation consistency with minimal token overhead during the scanning process.

Do I need Node.js installed to use this Markdown parsing and diagram generation CLI?▼

Yes, Node.js is a required dependency. The Skill relies on local tooling including marked-cli, mermaid-cli, and markdownlint-cli2, which require Node.js installation and environment configuration setup before execution.

What is the best way to extract headers from a large Markdown specification?▼

Running a dedicated extraction command pulls headers directly from the Markdown file without loading the entire document. This token-efficient approach quickly scans large specifications like a 1,000-line file to retrieve structural information.

Why does parsing large Markdown documentation consume so many tokens?▼

Loading full Markdown files into context directly consumes excessive tokens. Token-efficient parsing manipulates content through local CLI tools instead, extracting only necessary elements like headers and tables to minimize overhead.