Deep Research

Conduct multi-source investigations and produce source-attributed answers with confidence levels.

Updated Apr 14, 2026
One-click install
npx skills add https://github.com/adiytharpansa/openclawuserland --skill deep-research-adiytharpansa
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Deep Research
Source: https://github.com/adiytharpansa/openclawuserland/tree/main/skills/in-depth-research
Command: npx skills add https://github.com/adiytharpansa/openclawuserland --skill deep-research-adiytharpansa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Deep Research solves the need for rigorous, traceable, and repeatable investigations into complex questions where superficial searches are insufficient; it produces answers with documented methodology, source evaluation, and clear confidence levels so decisions can be made with evidence.

Core Features & Use Cases

  • Multi-vector Search: Employs broad-to-specific search strategies across search engines, academic databases, news archives, and social sources to map and explore a topic.
  • Source Evaluation & Triangulation: Assesses authority, recency, evidence, bias, and corroboration for each source and weights findings accordingly.
  • Iterative Deepening & Documentation: Tracks search queries, decisions to follow threads, reasons to stop, and compiles synthesis with confidence levels and explicit gaps.
  • Use Case: Produce an executive summary with key findings, confidence, full source list, methodology note, and actionable recommendations for a policy, technical, or market decision.

Quick Start

Use Deep Research to investigate a specific topic and deliver an executive summary with documented methodology, source-attributed key findings, a confidence assessment, and identified gaps.

Frequently Asked Questions about Deep Research

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

FAQPage Schema
How do I conduct a literature review with source evaluation and methodology tracking?

A systematic literature review maps topics across academic databases and archives, evaluates source authority and bias, traces citations iteratively, and delivers source-attributed findings with documented methodology and confidence levels.

What is the best way to synthesize multi-source research findings into an executive summary?

Multi-source research synthesis uses weighted triangulation across broad-to-specific search strategies, evaluating authority and bias to produce executive summaries with actionable recommendations, source lists, and confidence levels.

Can I use this methodology for quick fact-checks or is it only for exhaustive investigations?

This research methodology scales from quick fact-checks to exhaustive investigations, applying iterative deepening and search query tracking to standard reports and thorough literature reviews alike.

How does source credibility assessment work during an investigation?

Source credibility assessment evaluates authority, recency, evidence, bias, and corroboration for each source, weighting findings accordingly to ensure the final synthesis reflects reliable and traceable evidence.

What limitations exist when doing iterative deepening and citation tracing for complex questions?

Iterative deepening and citation tracing are limited by stopping criteria when threads yield diminishing returns, identified gaps in available literature, and the complexity of documenting every search decision for rigorous traceability.