What problem does it solve?
AI models frequently generate Markdown with systematic errors (e.g., missing language tags, bold text as headings, incorrect spacing), leading to inconsistent, hard-to-read documentation and wasted tokens on rework. This skill enforces strict Markdown linting standards.
Core Features & Use Cases
- Automated Linting Enforcement: Ensures all generated Markdown adheres to best practices (e.g., MD040, MD036, MD022, MD013).
- Code Block Language Tags: Mandates language specifiers for all code blocks (e.g.,
bash, typescript, text).
- Structural Correctness: Prevents common errors like using bold/italics for headings and enforces proper blank lines around structures.
- Use Case: You need to generate a
README.md or update project documentation, and you want to ensure it's perfectly formatted and lint-free.
Quick Start
"Write a new README.md for my project, ensuring perfect Markdown linting."
"Review this Markdown file for any linting violations and fix them."
