deep-research

Automate multi-source research with decomposition, verification, and synthesis.

47|8|Updated Sep 13, 2025
One-click install
npx skills add https://github.com/lvndry/jazz --skill deep-research-lvndry
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/lvndry/jazz/tree/main/skills/deep-research
Command: npx skills add https://github.com/lvndry/jazz --skill deep-research-lvndry

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Conducts autonomous, multi-source research to answer complex questions by decomposing queries, orchestrating broad searches, and validating findings with a structured, source-backed synthesis.

Core Features & Use Cases

  • Autonomous multi-source research pipeline: decomposition, batched search, verification, and synthesis.
  • Memory-enabled research: persistent context across sessions for iterative exploration.
  • Document intelligence: support for PDF and document analysis to extract claims and data.
  • Interactive checkpoints: user feedback gates to refine scope and direction.
  • Batch and cross-source comparison: reconcile conflicting sources and present balanced conclusions.

Quick Start

Use the deep-research skill to synthesize a literature review on a complex topic, for example: "What is the current state of X in Y and what are the major conflicting viewpoints?"

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 for complex questions?

Automating multi-source research involves decomposing queries, orchestrating batched searches across sources, and validating findings to produce a structured, source-backed synthesis.

Can I use autonomous research to reconcile conflicting viewpoints in a literature review?

Yes, autonomous research applies batch and cross-source comparison to reconcile conflicting sources, extracting claims and data to present balanced conclusions for literature reviews.

Does multi-source research work with PDF document analysis?

Multi-source research supports PDF and document analysis, extracting claims and data directly from files to verify findings during the synthesis pipeline.

How does memory persistence improve iterative research sessions?

Memory persistence retains context across sessions, enabling iterative exploration of complex topics without losing prior findings or scope.

What is the best way to refine research scope during cross-domain analysis?

Using interactive checkpoints provides user feedback gates to adjust direction and refine scope during cross-domain analysis.