deep-research

Produces evidence-backed research notes with citations and confidence maps.

36|2|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/tuan3w/obsidian-vault-agent --skill deep-research-tuan3w
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/tuan3w/obsidian-vault-agent/tree/main/skills/deep-research
Command: npx skills add https://github.com/tuan3w/obsidian-vault-agent --skill deep-research-tuan3w

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Deep-research helps you replace shallow summaries with an evidence-backed understanding of complex topics, including contradictions, gaps, and uncertainty.

Core Features & Use Cases

  • Perspective discovery + decomposition: Identifies multiple stakeholder perspectives and turns them into sub-questions so the research covers the full debate space.
  • Multi-source evidence gathering: Searches web, academic papers, Reddit/community discussions, and your vault in parallel to build a diverse evidence base.
  • Exploration-to-critique loop: Runs iterative rounds that actively look for missing angles, contradictions, and single-source weak claims rather than just collecting more links.
  • Outline-first, citation-backed synthesis: Produces a comprehensive vault note with fact-level citations, an evidence-to-section outline, and a confidence map for key claims.

Quick Start

Use deep-research on a complex question by running: /deep-research climate change impacts on agriculture --deep

Frequently Asked Questions about deep-research

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

FAQPage Schema
How do I conduct deep research with citations and uncertainty mapping?

Deep research with citations requires multi-source evidence gathering across web, academic, community, and vault content, followed by an iterative explore-critique loop to detect contradictions and generate a confidence map for decision-ready notes.

What is the best way to synthesize contradictory evidence from multiple sources?

To synthesize contradictory evidence, use an exploration-to-critique loop that actively identifies missing angles and weak claims, then compiles findings into an outline-first vault note with fact-level citations and a confidence map.

How do I generate decision-ready research notes from complex topics?

Generating decision-ready research notes involves decomposing stakeholder perspectives into sub-questions, gathering diverse evidence in parallel, and mapping explicit uncertainty to produce comprehensive, citation-backed outputs.

Can I use existing vault notes as evidence sources for deep research?

Yes, deep research searches your vault in parallel with web, academic papers, and community discussions to build a diverse evidence base, integrating existing vault notes into the final synthesized output.

How does a confidence map improve evidence synthesis for complex investigations?

A confidence map improves evidence synthesis by explicitly rating the certainty of key claims, highlighting contradictions and gaps found during the iterative critique loop, ensuring research outputs reflect true evidence quality.

When should I use deep research instead of a quick web search?

Use deep research instead of a quick web search when thorough investigations require multi-perspective coverage, contradiction detection across sources, and iterative refinement to produce comprehensive, decision-ready evidence-backed notes.