query

Execute multi-hop searches across markdown files and a YAML relations file.

2|Updated Apr 20, 2026
One-click install
npx skills add https://github.com/ARCASSystems/FounderOS --skill query-arcassystems
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: query
Source: https://github.com/ARCASSystems/FounderOS/tree/main/skills/query
Command: npx skills add https://github.com/ARCASSystems/FounderOS --skill query-arcassystems

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill helps you find relevant information within your OS by enabling multi-hop queries across files and the 'brain/relations.yaml' file.

Core Features & Use Cases

  • Multi-hop Querying: Allows you to ask complex questions and get targeted information by traversing relationships between files.
  • Progressive Disclosure: Provides results in three modes (index, timeline, full) to help you focus on the information you need.
  • Enhanced with Wiki-Build: Can improve query results by populating the 'brain/relations.yaml' file with graph edges.
  • Use Case: For instance, you can ask "what blocks high priority" to get a list of relevant nodes across files.

Quick Start

Use the query skill to search for information about a specific topic by saying "search the OS for <topic>" or running /founder-os:query.

Frequently Asked Questions about query

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

FAQPage Schema
How do I perform a multi-hop search across markdown files?

Multi-hop search traverses relationships between markdown files and a YAML relations file to find targeted information. You execute a Python script to query connected nodes, allowing complex questions to be answered across a knowledge base.

What is progressive disclosure in a knowledge base search?

Progressive disclosure provides search results in three modes: index, timeline, and full. This mechanism helps you focus on specific information by controlling the depth of data returned from your multi-hop queries.

Do I need a relations.yaml file to run multi-hop queries?

Yes, multi-hop queries require a 'brain/relations.yaml' file containing graph edges. Populating this YAML file with relationship data enhances search results and allows the query engine to traverse file connections.

Can I use business intelligence search to find what blocks high priority tasks?

Yes, you can ask complex questions like 'what blocks high priority' to retrieve relevant nodes across files. The search traverses your knowledge base relationships to return targeted operational information.

What's the best way to search the OS for a specific topic?

The best way to search the OS is by triggering a query using 'search the OS for <topic>' or running a dedicated command. This executes a Python script to perform multi-hop searches across your markdown files.