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wiki-rag

Query project wiki documentation to answer technical questions with inline citations.

1|Updated May 21, 2026
Search Tags:#documentation#rag#search#orchestration#wiki#knowledge-management
One-click install
npx skills add https://github.com/hiddink-ai/hiddink-harness --skill wiki-rag-hiddink-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: wiki-rag
Source: https://github.com/hiddink-ai/hiddink-harness/tree/main/templates/skills/wiki-rag
Command: npx skills add https://github.com/hiddink-ai/hiddink-harness --skill wiki-rag-hiddink-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires duckdb.

What problem does it solve?

This skill solves the challenge of navigating fragmented project documentation by providing a centralized, searchable interface that retrieves accurate answers from the project wiki before resorting to raw file exploration.

Core Features & Use Cases

  • Context-Aware Retrieval: Automatically identifies relevant wiki pages based on user intent, such as architecture, agent roles, or rule behavior.
  • Intelligent Fallback: Seamlessly transitions from wiki-based answers to raw codebase exploration when documentation gaps are detected.
  • Knowledge Compounding: Offers to persist new findings back into the wiki, ensuring the documentation evolves alongside the codebase.

Quick Start

Use the wiki-rag skill to search the project documentation for an explanation of how the orchestration system works.

Frequently Asked Questions about wiki-rag

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

FAQPage Schema
How do I query project wiki documentation using RAG?▼

Query project wiki documentation using RAG by parsing a centralized index to retrieve relevant context and synthesizing answers with inline citations for technical and architectural questions.

What's the best way to search fragmented project documentation for architecture answers?▼

The best way to search fragmented project documentation is using context-aware retrieval that automatically identifies relevant wiki pages based on user intent and synthesizes answers with inline citations.

Can I use DuckDB with a RAG system for knowledge management?▼

Yes, you can use DuckDB with a RAG system for knowledge management by parsing a centralized index to retrieve relevant context and synthesize answers from project wiki documentation.

How do I handle documentation gaps when querying a project wiki?▼

Handle documentation gaps when querying a project wiki by using intelligent fallback, which seamlessly transitions from wiki-based answers to raw codebase exploration when gaps are detected.

How to keep project documentation updated automatically after codebase exploration?▼

Keep project documentation updated automatically by using subagents to persist new findings back into the wiki, ensuring the documentation evolves alongside the codebase through knowledge compounding.

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