deep-research

✓Verified·Scanned 2/18/2026

This skill provides a framework for conducting multi-source, iterative research and producing structured reports. It instructs use of networked tools like web_search, web_fetch, and browser to retrieve web content (purpose-aligned network behavior).

from clawhub.ai·v883d537·20.3 KB·0 installs
Scanned from 1.0.0 at 883d537 · Transparency log ↗
$ vett add clawhub.ai/jiacode/deep-research

Deep Research Skill

A comprehensive research framework that combines web search, content analysis, source verification, and iterative investigation to conduct in-depth research on any topic.

Purpose

This skill provides a systematic approach to conducting thorough investigations without relying on any specific AI model. Instead, it orchestrates various OpenClaw tools to gather, analyze, verify, and synthesize information.

Components

  • SKILL.md: Main skill definition with research methodology
  • research_template.md: Template for structured research reports
  • research_workflow.js: JavaScript implementation of the research workflow
  • README.md: This file

Usage

To conduct deep research using this skill, follow these patterns:

Basic Research Task

Research Topic: [Specify the topic you want to investigate]
Research Questions: [List specific questions to answer]

Research Process

  1. Planning: Define research scope and questions
  2. Gathering: Collect information from multiple sources
  3. Analysis: Cross-reference and validate findings
  4. Synthesis: Combine findings into coherent conclusions
  5. Reporting: Generate structured research report

Tool Integration

This skill leverages the following OpenClaw tools:

  • web_search - For initial topic exploration
  • web_fetch - For detailed content extraction
  • browser - For complex web interactions
  • memory_search - To reference previous research
  • write/edit - To create and refine research reports

Quality Standards

The research follows these quality standards:

  • Source diversity verification
  • Cross-validation of claims
  • Credibility assessment
  • Bias recognition
  • Temporal relevance consideration

Output Format

Research results follow a structured format:

  • Executive summary
  • Detailed findings
  • Source evaluation
  • Confidence levels
  • Remaining questions for further research

Integration with Models

While this skill operates independently of any specific AI model, it can work with any model (Qwen, Gemini, etc.) to assist with:

  • Content analysis
  • Pattern recognition
  • Synthesis of findings
  • Report generation