deep-research

Decompose questions into sub-questions and synthesize cited reports from multi-source research.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Complex questions often require deep, verifiable research. This skill orchestrates a multi-phase workflow to produce a structured, source-backed synthesis rather than noisy results.

Core Features & Use Cases

  • Multi-phase research loop: query decomposition, multi-source crawling, claim extraction, cross-referencing, conflict resolution, and synthesized reporting.
  • Inline citations: every claim is traceable to its source.
  • Use Case: when you need in-depth, defensible answers for research, policy, or technical evaluation.

Quick Start

Provide a complex question to initiate a multi-phase deep research run.

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 research with verifiable citations?▼

To automate multi-source research with verifiable citations, you provide a complex question. The system decomposes it into sub-questions, crawls multiple sources, cross-references claims, and delivers a synthesized report with inline source citations.

What is the best way to resolve conflicting information from multiple research sources?▼

The best way to resolve conflicting information from multiple research sources is using a conflict resolution mechanism. This system cross-references extracted claims during multi-source crawling to ensure a verifiable synthesis.

How does query decomposition improve deep research results?▼

Query decomposition improves deep research results by breaking complex user questions into atomic sub-questions. This targets multi-source crawling and claim extraction, ensuring structured, source-backed synthesis rather than noisy results.

Can I get inline citations for high-stakes decision making research?▼

Yes, you can get inline citations for high-stakes decision making research. The system delivers a structured report where every claim is traceable to its source, ensuring defensible answers for policy or technical evaluation.

When do I need automated cross-referencing for source synthesis?▼

You need automated cross-referencing for source synthesis when complex questions require deep, verifiable research. It orchestrates multi-source crawling and conflict resolution to produce structured, source-backed answers instead of noisy results.