deep-research

Synthesize cited research analyses from multiple sources with structured output.

Updated Mar 8, 2026
One-click install
npx skills add https://github.com/Phife726/ds_agent --skill deep-research-phife726
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/Phife726/ds_agent/tree/main/deep-research
Command: npx skills add https://github.com/Phife726/ds_agent --skill deep-research-phife726

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill automates thorough, citation-backed research synthesis by aggregating information from multiple sources.

Core Features & Use Cases

  • Synthesize information from diverse sources with proper citations to create well-rounded analyses.
  • Analytical workflow supports topic framing, perspective integration, and credibility checks.
  • Documentation of sources with numbered citations and a final bibliography for reproducibility.

Quick Start

Provide your research question and let Deep Research generate a sourced analysis with citations.

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I synthesize research from multiple sources with proper citations?

To synthesize research with citations, you need an analytical workflow that aggregates evidence, performs cross-source synthesis, and generates a structured output with numbered citations and a final bibliography for reproducibility.

What is cross-source synthesis and when do I need it for research analysis?

Cross-source synthesis is the process of aggregating information from diverse sources to create well-rounded analyses. You need it for topics requiring in-depth exploration and credibility checks across multiple materials.

How do I generate a research analysis with traceable sources and frontmatter metadata?

You can generate a sourced analysis by providing a research question to an automated workflow, which then produces structured output containing frontmatter metadata, traceable numbered citations, and a final bibliography.

Can I use automated research synthesis for documentation requiring credibility checks?

Yes, automated research synthesis supports documentation by integrating perspectives and applying credibility checks across diverse materials, ensuring your analysis is well-rounded and reproducible.

What is the best way to document sources for a reproducible research workflow?

The best way to document sources is using numbered citations throughout the analysis and compiling a final bibliography, ensuring full traceability and a reproducible research workflow.