deep-research

Structure research questions and verify sources for evidence-backed conclusions.

8|Updated Mar 17, 2026
One-click install
npx skills add https://github.com/ShaheerKhawaja/ProductionOS --skill deep-research-shaheerkhawaja
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/ShaheerKhawaja/ProductionOS/tree/main/skills/deep-research
Command: npx skills add https://github.com/ShaheerKhawaja/ProductionOS --skill deep-research-shaheerkhawaja

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This workflow enables Codex-driven, source-backed research by breaking topics into concrete questions, discovering and verifying sources, and synthesizing hypotheses to deliver evidence-backed conclusions.

Core Features & Use Cases

  • 3-5 well-scoped research questions per topic
  • Discovery and verification of sources, with citations
  • Synthesis of evidence, identification of contradictions, and selection of best-supported hypotheses

Quick Start

Run a topic into the workflow to produce an evidence-backed research brief.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I gather verifiable sources and citations for topic-based research?

To gather verifiable sources for topic-based research, this workflow breaks your topic into 3-5 concrete questions, discovers relevant sources, and verifies citations to ensure evidence backing. It outputs an evidence-backed research brief.

What is evidence synthesis and how does it apply to competing hypotheses?

Evidence synthesis evaluates competing hypotheses by discovering multi-source evidence, identifying contradictions, and selecting the best-supported conclusions. This process applies confidence gating to ensure only hypotheses with sufficient verified evidence are selected.

How do I structure research questions for a complex topic analysis?

Structuring research questions for topic analysis involves breaking the broad inquiry into 3-5 well-scoped, concrete questions. This scoping ensures the research workflow can effectively discover sources, verify citations, and synthesize targeted evidence.

Can I use automated research workflows for multi-source evidence verification?

Yes, you can use this autonomous research workflow for multi-source evidence verification. It applies citation verification and confidence gating to ensure that synthesized hypotheses meet requirements for source discovery and evidence backing.

What is the best way to synthesize evidence and identify contradictions in research?

The best way to synthesize evidence and identify contradictions is to structure the topic into specific questions, gather verified multi-source citations, and apply hypothesis selection with confidence gating to produce evidence-backed conclusions.

When should I not use an autonomous research workflow for topic analysis?

You should not use an autonomous research workflow for topics lacking multi-source evidence or when citation verification is not required. It is designed for inquiries requiring source discovery, evidence synthesis, and competing hypothesis evaluation.