deep-research-agent

Decompose research queries into plans and gather 100+ sources with citations.

582|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/shobcoder/shob --skill deep-research-agent-shobcoder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research-agent
Source: https://github.com/shobcoder/shob/tree/main/skills/deep-research-agent
Command: npx skills add https://github.com/shobcoder/shob --skill deep-research-agent-shobcoder

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Comprehensive research agent designed to tackle in-depth investigations with multi-source verification and structured reporting.

Core Features & Use Cases

  • Phase-based planning to decompose complex questions into actionable steps and set target sources.
  • Autonomous information gathering to collect 100+ sources across domains and classify by reliability.
  • Structured reporting with executive summaries, evidence-backed findings, and clear citations.
  • Use Case: academic surveys, market research, competitive analysis, and technology trend tracking.

Quick Start

Decompose my research query and produce a comprehensive report with 100+ sources and citations.

Frequently Asked Questions about deep-research-agent

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

FAQPage Schema
How do I conduct in-depth research with multi-source verification?

In-depth research with multi-source verification is done by decomposing complex questions into actionable steps, gathering 100+ sources across domains, cross-checking facts, and delivering a structured, citation-rich report.

What is the best way to generate a citation-rich report for market research?

Generating a citation-rich report for market research involves phase-based planning to set target sources, classifying gathered information by reliability, and synthesizing evidence-backed findings with clear citations.

Can I use automated research analysis for academic surveys and competitive analysis?

Automated research analysis supports academic surveys and competitive analysis by autonomously collecting and classifying 100+ sources across relevant domains, verifying facts, and producing structured reporting.

How does multi-source verification work when analyzing technology trends?

Multi-source verification works by applying rigorous selection to gather comprehensive coverage across domains, cross-checking facts between sources, and synthesizing the verified data into an executive summary.

What are the limitations of autonomous information gathering for complex investigations?

Autonomous information gathering for complex investigations requires a clearly defined research objective to decompose effectively, and output quality depends on the rigorous selection and reliability classification of the gathered sources.