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deep-research

Automate structured multi-source research with clarifying questions and artifact generation.

2|Updated Mar 8, 2026
Search Tags:#onboarding#multi-agent#artifact#decision-making#web-search#deep-research#research-process
One-click install
npx skills add https://github.com/GuruDevvv/my-claude-skills --skill deep-research-gurudevvv
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/GuruDevvv/my-claude-skills/tree/main/deep-research
Command: npx skills add https://github.com/GuruDevvv/my-claude-skills --skill deep-research-gurudevvv

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Structured deep research helps users thoroughly investigate any topic by asking clarifying questions, defining success criteria, coordinating multi-agent web research, and producing a concrete decision along with a saved artifact.

Core Features & Use Cases

  • Onboarding prompts to capture context and goals.
  • Phased workflow: clarification, web research, synthesis, decision, and artifact generation.
  • Save-and-replay artifact to enable sharing and auditing of decisions.

Quick Start

Start a deep research session on a topic and save the resulting artifact.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I automate multi-source web research to reach a final decision?▼

To automate multi-source web research for decision-making, you can use a structured workflow that clarifies goals, coordinates multi-agent web searches, synthesizes findings, and generates a concrete decision artifact.

What is a phased research process and when do I need it for complex topics?▼

A phased research process enforces sequential stages like onboarding, task understanding, research, and synthesis. You need this for complex topic exploration to ensure thorough investigation and structured artifact generation.

How do I structure deep research with clarifying questions and artifact generation?▼

You structure deep research by defining success criteria through onboarding prompts, executing multi-agent web searches, and synthesizing the results into a save-and-replay artifact that captures the final decision.

Can I use multi-agent collaboration for web research across different domains?▼

Yes, multi-agent collaboration supports complex topic exploration across multiple domains by coordinating web searches and synthesizing diverse sources into a unified decision-making artifact.

How do I save and replay research artifacts to audit decisions?▼

You save and replay research artifacts by generating them at the end of the synthesis phase, which enables sharing and auditing of the structured decision-making process and its underlying web research.

What are the limitations of using a structured workflow for deep research?▼

Structured deep research workflows require explicit frontmatter configuration and strict adherence to phased steps like clarification and synthesis, meaning skipping the onboarding context can impact the final artifact quality.

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