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jsagir
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research

Automate targeted research and integrate findings into a structured knowledge graph.

2|Updated Mar 22, 2026
Search Tags:#research#knowledge graph#web search#evidence management#AI-powered research
One-click install
npx skills add https://github.com/jsagir/mindrian-os-plugin --skill research-jsagir
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/jsagir/mindrian-os-plugin/tree/main/skills/research
Command: npx skills add https://github.com/jsagir/mindrian-os-plugin --skill research-jsagir

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill addresses the challenge of conducting thorough research and integrating findings directly into a structured evidence graph, enhancing knowledge management and decision-making processes.

Core Features & Use Cases

  • Context-Aware Research: Extracts relevant information from the web based on current project context.
  • Evidence Integration: Files findings as typed EvidenceClaim graph nodes for cross-referencing and analysis.
  • Use Case: When seeking to validate assumptions or gather data for a project, the Skill can be used to perform a focused search and integrate new findings into the project's knowledge graph.

Quick Start

Execute the /mos:research command followed by a specific topic or question, e.g., /mos:research "customer segmentation".

Frequently Asked Questions about research

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

FAQPage Schema
How do I integrate web search findings into a knowledge graph?▼

To integrate web search findings into a knowledge graph, you can automate context-aware research to extract data and file findings as typed EvidenceClaim nodes for structured cross-referencing.

What is evidence management in AI-powered research?▼

Evidence management in AI-powered research structures retrieved data into typed EvidenceClaim graph nodes, enabling cross-referencing and hypothesis-driven problem-solving.

How do I conduct context-aware research for a specific project topic?▼

You conduct context-aware research by executing the research command followed by your topic, triggering automated data retrieval and context extraction based on your current project state.

Can I use hypothesis-driven problem-solving with automated web search?▼

Yes, hypothesis-driven problem-solving integrates with automated web search by leveraging the Skill to gather targeted data and structure results into an evidence graph for validation.

What is the best way to validate assumptions using a knowledge graph?▼

The best way to validate assumptions using a knowledge graph is performing focused web searches and filing new findings as typed EvidenceClaim nodes to cross-reference existing project data.

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