LLM Wiki — Knowledge Base Manager

What it does

LLM Wiki provides a git-backed workflow and CLI-style commands to create, ingest, compile, and query a project knowledge base. It automates setup, deterministic ingestion of source documents, AI-assisted compilation into wiki pages, and query/digest operations with mandatory feedback loops for growing the wiki. The skill encapsulates security rules around untrusted content and safe commit patterns.

When to use it

Use this skill when a user needs to initialize a project wiki, ingest documents or folders, run compilation to create or update pages, perform targeted queries or deep digests on a topic, lint wiki health, or generate knowledge graphs. It's suitable for teams that track documentation in a repo and want repeatable, auditable wiki updates.

What's included

• Scripts: repository includes scripts/ for init, ingest, compile, lint, stats, graph, and index updates (has_scripts=true)
• References: references/ and example AGENTS.md conventions are provided (has_references=true)
• Instructions: detailed /wiki command reference, commit rules, security controls for untrusted content, and operational checks summarized from the SKILL.md body

Compatible agents

Agents capable of running Python-based CLI tooling (Python 3.11+), managing git operations with human confirmation, and performing content synthesis are best suited to this skill.