wiki-query

Search index.md and read wiki files to synthesize structured answers.

Updated May 11, 2026
One-click install
npx skills add https://github.com/webn77/opennexus --skill wiki-query-webn77
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: wiki-query
Source: https://github.com/webn77/opennexus/tree/main/skills/wiki-query
Command: npx skills add https://github.com/webn77/opennexus --skill wiki-query-webn77

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill enables rapid retrieval and synthesis of information from internal wiki documents, streamlining knowledge access.

Core Features & Use Cases

  • Index-Based Search: Uses index.md to identify relevant wiki pages based on questions.
  • Content Extraction: Reads selected wiki files directly to gather core content.
  • Answer Synthesis: Combines information from multiple files into a concise, structured reply.
  • Use Case: When asked about a specific openNexus feature, quickly find pertinent documentation and produce a summarized response for quick understanding.

Quick Start

Ask the AI a question like "What are the skills available in openNexus?" and it will locate relevant wiki articles, extract key points, and generate a comprehensive answer.

Frequently Asked Questions about wiki-query

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

FAQPage Schema
How do I search internal wiki documents and generate a summary?

To search internal wiki documents, you query an index.md file to locate relevant markdown pages, read the source files directly, and synthesize the extracted content into a summarized response. This avoids external vectors by directly reading source files.

What is the best way to retrieve detailed documentation from a markdown wiki?

The best way to retrieve detailed documentation from a markdown wiki is performing index-based search and direct content extraction. It identifies pertinent articles via index.md and combines information from multiple files into a concise, structured reply for quick understanding.

Can I query specific features in my internal wiki without relying on external vectors?

Yes, you can query specific features without relying on external vectors. This approach performs targeted retrieval by reading source markdown files directly from your internal wiki, ensuring accurate, context-aware answers that facilitate efficient knowledge sharing.

How do I get a summarized response from multiple wiki pages at once?

You get a summarized response from multiple wiki pages through answer synthesis. After searching index.md to identify relevant files, it reads those selected wiki files directly, extracts key points, and combines the information into a comprehensive, structured reply.

Does wiki information retrieval work without setting up complex vector databases?

Yes, wiki information retrieval works without complex vector databases. It performs targeted retrieval and synthesis by directly reading source markdown files and searching index.md, avoiding reliance on external vectors while producing structured, context-aware answers.