How does it prevent documentation drift?

The skill performs cross-file consistency checks, comparing documentation against tests, READMEs, and implementation modules to ensure they remain in sync.

Is it suitable for technical API documentation?

While it handles general docs, it is designed to defer technical engineering and API-specific documentation to specialized writers like the docs-and-api-writer skill.

Does it support custom metadata fields?

It strictly follows repository conventions and avoids creating obsolete or non-standard metadata fields to maintain a clean content layer.

What specific file types does this skill manage?

It is optimized for Markdown (.md) files, specifically targeting skill definitions, templates, and general documentation directories.

Can it fix broken links automatically?

Yes, it identifies broken local Markdown links and anchors and proposes the smallest correct change to restore connectivity.

Knowledge Base Maintainer

Name: Knowledge Base Maintainer
Author: tuanductran

bytuanductran

•

Content Management

Maintains the structural integrity and content accuracy of Markdown-based knowledge files and documentation repositories.

The Knowledge Base Maintainer skill is designed to automate the upkeep of content-heavy repositories, specifically those following the SoulMap AI documentation standards. It ensures that Markdown files remain discoverable and professional by validating YAML front matter, enforcing kebab-case naming conventions, and resolving internal links or anchors. By cross-referencing content against repo-wide sources of truth, it prevents documentation drift and ensures that AI-ready skills, templates, and guides accurately reflect the current state of the codebase.

Key Features

01Enforcement of kebab-case naming and repository-wide term casing

02Verification of content against engineering contracts and READMEs

03Automated YAML front matter normalization and validation

041 GitHub stars

05Internal Markdown link and anchor resolution checking

06Cross-file consistency auditing to prevent documentation drift

Use Cases

01Ensuring new documentation templates align with repository-wide naming conventions

02Standardizing metadata and structure for a large collection of AI agent skills

03Auditing documentation folders for broken links and stale file references after a refactor

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add tuanductran/soulmap-ai knowledge-base-maintainer

For use in Claude.ai and ChatGPT

Key Features

01Enforcement of kebab-case naming and repository-wide term casing

02Verification of content against engineering contracts and READMEs

03Automated YAML front matter normalization and validation

041 GitHub stars

05Internal Markdown link and anchor resolution checking

06Cross-file consistency auditing to prevent documentation drift

Use Cases

01Ensuring new documentation templates align with repository-wide naming conventions

02Standardizing metadata and structure for a large collection of AI agent skills

03Auditing documentation folders for broken links and stale file references after a refactor

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add tuanductran/soulmap-ai knowledge-base-maintainer

For use in Claude.ai and ChatGPT