llm-wiki-maintainer 1.1
Turn your AI agent into a digital librarian that builds and audits a persistent markdown knowledge base.
skill install https://www.promptspace.in/skills/llm-wiki-maintainer-1-1Maintain a Persistent, Compound Knowledge Base
The LLM Wiki Maintainer solves the "memory leak" problem in AI workflows where knowledge is lost after a conversation ends. Instead of ephemeral chats, this skill enables your agent to build and maintain a living markdown wiki that grows more valuable over time.
What it does
This skill provides a structured framework for an AI agent to act as a librarian and synthesizer. It manages a directory of markdown files using a strict schema, ensuring that raw sources remain immutable while synthesized "knowledge pages" are continuously updated. It handles provenance tracking, contradiction management, and automated indexing.
Why use this skill
- Persistence: Every useful answer the AI generates is automatically filed back into the wiki for future use.
- Provenance: Tracks source hashes and claims so you always know where information came from.
- Structural Integrity: Includes Python scripts for linting, SQLite-backed indexing, and automated log generation to prevent the wiki from becoming a "junk drawer."
- Conflict Resolution: Instead of overwriting old data, it reconciles contradictions through dedicated reflection pages.
Technical Features
Supports markdown-based folders, SQLite for high-speed querying of page metadata, and custom linting rules for structural health. It works seamlessly with local file systems or cloud-based repositories.
Use cases
- Maintain a self-organizing team wiki from raw conversation logs
- Trace information back to original sources with automated provenance tracking
- Reconcile contradictory data points into synthesized decision records
- Automate the generation of indexes and changelogs for markdown docs
Example
Prompt
Sample output preview is available after purchase.