What problem does it solve?
This Skill eliminates the tedious, error-prone manual work of maintaining a large knowledge wiki, handling structural quality checks and content fixes automatically so you can focus on adding high-value content instead of cleaning up metadata and broken links.
Core Features & Use Cases
- Automated Structural Audits: Runs full wiki health checks including broken wikilink detection, orphan page identification, missing frontmatter validation, tag consistency normalization, and HITS authority/hub scoring for knowledge graph health.
- Iterative Content Remediation: Delegates fix work to a specialized subagent to resolve broken links, add missing inbound links, fill frontmatter gaps, and normalize tags in small, controlled batches to avoid overwhelming the wiki.
- Cron-Job Resilient Execution: Includes built-in fallback logic for when MCP tools are unavailable in scheduled environments, using filesystem audit scripts to ensure maintenance runs complete successfully even if the knowledge graph server is offline.
- Use Case: Perfect for teams maintaining large Obsidian-based knowledge wikis or Zettelkasten vaults that need regular, automated quality checks without dedicating manual hours to cleanup tasks.
Quick Start
Use the librarian-agent skill to run a full structural audit of your wiki at /home/ty/Documents/LLM-WIKI and automatically fix all broken links, missing frontmatter, and orphan pages.