query

Search and synthesize information from a brain database using semantic analysis.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/mscully4/franklin --skill query-mscully4
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: query
Source: https://github.com/mscully4/franklin/tree/main/.claude/skills/query
Command: npx skills add https://github.com/mscully4/franklin --skill query-mscully4

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines the process of accessing and interpreting information stored in the brain's database, providing quick and accurate answers to a wide range of questions.

Core Features & Use Cases

  • Knowledge Retrieval: Access detailed information about people, events, and concepts stored in the brain.
  • Semantic Search: Understand and respond to complex, conceptual queries.
  • Graph Traversal: Explore relationships and connections between different entities in the brain's network.
  • Use Case: Need to know the history of a specific technology or the professional background of a particular individual? Use this Skill to get an informative summary based on the brain's vast knowledge base.

Quick Start

Ask: "Who is the CEO of Google and what has he founded?"

Frequently Asked Questions about query

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

FAQPage Schema
How do I perform a semantic search to synthesize information from a database?

Semantic search synthesizes information by using a 3-layer approach to retrieve and process content from the brain's database. This method handles complex queries, relationship mapping, and conceptual analysis to provide accurate summaries.

Can I use graph traversal to explore relationships between entities in a knowledge base?

Graph traversal explores relationships and connections between different entities within the brain's network. It allows you to navigate the database to find how specific people, events, and concepts are linked together.

What is the best way to retrieve detailed knowledge about a specific person or technology?

Knowledge retrieval extracts detailed information about people, events, and concepts stored in the database. You can query the brain's vast knowledge base to get an informative summary of a professional background or technology history.

Does this database querying approach work for complex, conceptual questions?

Database querying handles complex, conceptual queries through semantic analysis. It understands and responds to intricate requests by synthesizing information across the brain's database using its 3-layer search approach.

Do I need access to the brain's database to use this information synthesis tool?

Access to the brain's database is required for content retrieval and semantic processing. The information synthesis relies entirely on querying this specific database to map relationships and generate accurate answers.