wiki

Ingest articles into a structured, cross-referenced Markdown knowledge base.

18|1|Updated May 24, 2026
One-click install
npx skills add https://github.com/cclank/lanshu-wiki-skill --skill wiki-cclank
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: wiki
Source: https://github.com/cclank/lanshu-wiki-skill/tree/main
Command: npx skills add https://github.com/cclank/lanshu-wiki-skill --skill wiki-cclank

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Traditional knowledge management fails because maintenance costs scale super-linearly, leading to abandoned wikis. This Skill solves the "who maintains the wiki" problem by delegating summarization, linking, and archiving to an LLM.

Core Features & Use Cases

  • Declarative Wiki Maintenance: Automatically ingest articles, code, or notes into a structured, cross-referenced knowledge base.
  • Dual-Mode Architecture: Supports both personal knowledge bases (5-layer structure) and open-source project architecture wikis (3-layer structure).
  • Traceable Knowledge: Enforces strict source attribution, ensuring every claim is linked to verified source code or original documents.

Quick Start

Use the wiki skill to ingest the article at the provided URL and update the knowledge base accordingly.

Frequently Asked Questions about wiki

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Markdown knowledge management for technical documentation?

Automate Markdown knowledge management by delegating ingestion, cross-referencing, and synthesis to an LLM, maintaining a persistent, self-maintaining knowledge base. This solves the super-linear maintenance cost problem that causes traditional wikis to be abandoned.

Can an LLM maintain a personal Markdown knowledge base across different sessions?

Yes, an LLM can maintain a personal Markdown knowledge base across different sessions using a 5-layer structure. It enforces strict schema-driven workflows to ensure cross-session continuity, traceability, and source attribution for every ingested note.

What is the best way to generate architecture documentation for open-source repositories?

The best way to generate architecture documentation is using an LLM-driven wiki with a 3-layer structure. It automates the ingestion of source code, enforces strict source attribution, and synthesizes architectural details to ensure traceable documentation.

Does automated knowledge management work without manual wiki archiving and linking?

Yes, automated knowledge management works without manual archiving and linking by delegating these tasks to an LLM. It enforces strict schema-driven workflows to automate cross-referencing, flag contradictions, and archive outdated information.

How do I ensure traceability and source attribution in an automated knowledge base?

Ensure traceability in an automated knowledge base by using schema-driven workflows that enforce strict source attribution. This guarantees every claim within the Markdown knowledge base is linked to verified source code or original documents.