Update Markdown File Index

An AI skill that automatically generates and updates index files for markdown document collections, creating navigable tables of contents with links, descriptions, and categorization that keep documentation directories organized and discoverable.

What Is This?

Overview

This skill scans directories containing markdown files and generates or updates an index file that catalogs every document. It extracts titles from headings, pulls descriptions from frontmatter or opening paragraphs, organizes documents by category or directory structure, and creates a linked table of contents. When documents are added, renamed, or removed, running the skill regenerates the index to stay current.

Who Should Use This

Perfect for teams maintaining documentation repositories, developers managing knowledge bases, open source project maintainers keeping docs organized, and anyone with a growing collection of markdown files that needs a navigable entry point.

Why Use It?

Problems It Solves

Documentation directories grow organically. New files are added without updating the index, renamed files leave broken links, and removed documents remain listed. Manually maintaining an index file is tedious and consistently forgotten. Without an accurate index, readers cannot discover available documentation and resort to searching or browsing file listings.

Core Highlights

• Auto Discovery scans directories recursively to find all markdown files
• Title Extraction pulls document titles from H1 headings or frontmatter
• Description Generation extracts summaries from opening paragraphs
• Category Organization groups documents by directory or frontmatter tags
• Link Validation identifies and reports broken internal links during indexing

How to Use It?

Basic Usage

Point the skill at a documentation directory and it generates a complete index.

<!-- Generated: docs/INDEX.md -->

## API Documentation

| Document | Description |
|----------|-------------|
| [Authentication](api/authentication.md) | OAuth2 and API key auth flows |
| [Endpoints](api/endpoints.md) | REST API endpoint reference |
| [Error Codes](api/error-codes.md) | Standard error response formats |
| [Rate Limiting](api/rate-limiting.md) | Request limits and throttling |

## Guides

| Document | Description |
|----------|-------------|
| [Getting Started](guides/getting-started.md) | Quick start tutorial |
| [Deployment](guides/deployment.md) | Production deployment steps |
| [Migration](guides/migration-v2.md) | Migrating from v1 to v2 |

Real-World Examples

Open Source Project Documentation

A popular open source library had 45 markdown files across 8 directories with no central index. Contributors frequently duplicated existing docs because they could not find them. After running the indexer, the generated INDEX.md became the documentation landing page, reducing duplicate content creation by helping contributors discover existing material.

update-md-index --dir ./docs --output ./docs/INDEX.md

Advanced Tips

Add the index update command to your CI pipeline so the index regenerates on every documentation change. Use frontmatter tags to control categorization rather than relying solely on directory structure. Configure exclusion patterns to skip draft or template files from the index.

When to Use It?

Use Cases

• Documentation Repositories keep large doc collections navigable
• Knowledge Bases maintain searchable indexes of team knowledge
• Wikis generate landing pages for markdown based wikis
• Project READMEs create linked overviews of project documentation
• Content Audits discover orphaned or broken documentation links

Related Topics

When managing markdown indexes, these prompts activate the skill:

• "Update the documentation index"
• "Generate an index for my markdown files"
• "Rebuild the docs table of contents"
• "Find broken links in my documentation"

Important Notes

Requirements

• Markdown files should have H1 headings or frontmatter for title extraction
• Directory access to scan all documentation files recursively
• Output file path must be writable for index generation
• Works with any markdown flavor including GitHub Flavored Markdown

Usage Recommendations

Do:

• Run indexing after every documentation change for accuracy
• Add frontmatter descriptions to improve extracted summaries
• Fix broken links reported during indexing promptly
• Commit the generated index alongside documentation changes

Don't:

• Manually edit generated index files as they will be overwritten on next run
• Skip broken link warnings since they indicate maintenance needed
• Include draft files in the index without marking them clearly
• Rely on directory names alone for categorization since frontmatter is more flexible

Limitations

• Title extraction depends on consistent heading usage across documents
• Description quality varies based on how documents open their content
• Very large documentation sets may produce lengthy indexes needing additional navigation
• Cannot index content inside non-markdown files like PDFs or images