llm-wiki-maintainer
by Roy Yuen
Automated, persistent Markdown wiki maintenance with provenance tracking and structural linting.
- Maintain a consistent technical wiki from fragmented source documents.
- Track decision history and provenance across hundreds of markdown files.
- Automatically reconcile contradictory information in team knowledge bases.
$7
One-time purchase · Own forever
Included in download
- Maintain a consistent technical wiki from fragmented source documents.
- Track decision history and provenance across hundreds of markdown files.
- terminal, file_read, file_write automation included
- Includes example output and usage patterns
See it in action
Updated [Project-Architecture.md] with new specs from [meeting-notes-v2.md]. Detected conflict in 'Deployment Port' (80 via v1 vs 443 via v2). Preservation note added to context. Regenerated index.md and appended to log.md. Run 'wiki_lint.py' to verify tags.
llm-wiki-maintainer
by Roy Yuen
Automated, persistent Markdown wiki maintenance with provenance tracking and structural linting.
$7
One-time purchase · Own forever
Included in download
- Maintain a consistent technical wiki from fragmented source documents.
- Track decision history and provenance across hundreds of markdown files.
- terminal, file_read, file_write automation included
- Includes example output and usage patterns
- Instant install
See it in action
Updated [Project-Architecture.md] with new specs from [meeting-notes-v2.md]. Detected conflict in 'Deployment Port' (80 via v1 vs 443 via v2). Preservation note added to context. Regenerated index.md and appended to log.md. Run 'wiki_lint.py' to verify tags.
About This Skill
The Solution for Growing Knowledge Bases
As technical documentation and personal wikis grow, they eventually become a mess of stale claims, broken links, and hidden contradictions. The LLM Wiki Maintainer is an automated librarian designed to manage persistent Markdown knowledge bases, ensuring that your synthesized knowledge remains accurate even as new source material is added.
What it does
This skill implements a rigorous workflow for knowledge management:
- Intelligent Ingestion: It treats raw source materials as immutable 'read-only' assets, synthesizing them into clean, structured wiki pages.
- Conflict Resolution: Instead of blindly overwriting data, it detects contradictions and preserves provenance via source hashes.
- Automated Indexing: It manages an
index.mdandlog.mdto ensure every piece of information is reachable. - Structural Integrity: It utilizes Python-based linting and SQLite-backed indexing to verify folder layouts and file conventions.
Why use this skill
Prompting an AI to "write a note" is easy, but keeping 500 notes consistent is hard. This skill provides the framework for a "living" wiki that compounds over time. It includes specialized templates for decision records and reflections, making it perfect for engineering teams or heavy researchers who need to track why a decision was made, not just what was decided.
Use Cases
- Maintain a consistent technical wiki from fragmented source documents.
- Track decision history and provenance across hundreds of markdown files.
- Automatically reconcile contradictory information in team knowledge bases.
- Run automated lint checks and structural audits on large folder hierarchies.
- Generate type-safe indexes and activity logs for a growing documentation set.
How to Install
unzip llm-wiki-maintainer.zip -d ~/.claude/skills/Reviews
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