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levi-qiao
levi-qiaoCOMMUNITY
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query

Search a local Markdown knowledge repository and return source-referenced answers.

6|1|Updated Apr 24, 2026
Search Tags:#knowledge retrieval#search#Markdown#information extraction#local wiki
One-click install
npx skills add https://github.com/levi-qiao/obsidian-llm-wiki --skill query-levi-qiao
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: query
Source: https://github.com/levi-qiao/obsidian-llm-wiki/tree/main/.claude/skills/query
Command: npx skills add https://github.com/levi-qiao/obsidian-llm-wiki --skill query-levi-qiao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables precise and context-aware retrieval of information from a local Markdown-based knowledge repository, eliminating the need for manual searching or relying solely on memory.

Core Features & Use Cases

  • Deep Search & Retrieval: Locates relevant pages within the Wiki knowledge base based on user questions.
  • Multiple Query Modes: Supports precise, exploration, and relationship-based searches to suit different inquiry types.
  • Use Case: A user asks, "What is the relationship between Transformer and Attention?" and receives a detailed, sourced explanation with related links.

Quick Start

Type "/query" followed by your question to retrieve information from the knowledge base.

Frequently Asked Questions about query

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

FAQPage Schema
How do I search my local Markdown knowledge base to answer specific questions?▼

To search a local Markdown knowledge base, type "/query" followed by your question to retrieve context-aware information and accurately sourced explanations from your wiki repository.

What is the best way to extract relationships between concepts from my local wiki?▼

To extract relationships from a local wiki, use the relationship-based search mode to analyze your Markdown knowledge base and return detailed, source-referenced explanations with related links.

Can I retrieve information from a Markdown repository without manual searching?▼

Yes, you can retrieve information from a Markdown repository without manual searching by conducting detailed, structured searches that locate relevant pages and deliver comprehensive, source-referenced answers.

Does the knowledge retrieval tool support different modes for varying inquiry depths?▼

The knowledge retrieval tool supports precise, exploration, and relationship-based search modes to suit different inquiry depths and accurately answer user questions from your knowledge base.

How do I ensure answers extracted from my Markdown wiki include source references?▼

Answers extracted from a Markdown wiki include source references because the retrieval process ensures responses are source-referenced and comprehensive, providing related links for verification.

When should I use exploration search instead of precise search for information extraction?▼

Use exploration search for broader inquiry depths when discovering related topics, and use precise search when you need to locate specific, exact information within your local Markdown knowledge repository.

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