A sophisticated investigation engine that performs multi-source data gathering and cross-platform analysis to generate structured professional reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install rey-deep-research
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install rey-deep-research using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Deep Research?
The Deep Research skill is a high-level investigative module designed for Openclaw Skills that goes far beyond basic search queries. It is engineered to perform a systematic 'deep dive' into complex topics by traversing a wide array of information channels including academic papers, technical documentation, official announcements, social media sentiment, and industry news. By automating the planning, gathering, and synthesis phases, it allows users to obtain a 360-degree view of any subject with minimal manual effort.
This skill is essential for users who require high-integrity data for decision-making. It doesn't just collect information; it analyzes contradictions, evaluates source reliability, and presents findings in a structured, comparative format. Whether you are performing a technical framework audit or a competitive market analysis, this tool provides the analytical depth required for professional-grade results.
Deep Research Use Cases
- Technical investigations for comparing software frameworks or architectural patterns.
- Comprehensive market research to identify major players, growth trends, and pricing structures.
- Trend analysis to track the evolution of specific technologies or social movements over time.
- Competitive benchmarking to evaluate product features against industry standards.
- High-stakes decision support requiring verified primary source data.
How Deep Research Works
- Initial Planning: The skill interprets the user's query and constructs a multi-stage research plan based on the requested depth.
- Multi-Channel Gathering: It simultaneously crawls diverse sources including technical blogs, GitHub repositories, peer-reviewed journals, and real-time social feeds.
- Data Synthesis: Information is filtered and categorized to identify core patterns, key findings, and emerging themes.
- Conflict Resolution: The agent cross-references data points to detect contradictions and assigns a reliability score to each source.
- Report Generation: A final Markdown-formatted report is compiled, featuring an executive summary, comparative tables, and a full bibliography.
Deep Research Setup
To activate the Deep Research capabilities within your environment, ensure your configuration for Openclaw Skills is updated. Use the following CLI commands to verify and enable the skill:
# Check the current status of research tools
moltbot skills list
# Enable the deep-research skill
moltbot skill enable deep-research
Note: Ensure your environment has the necessary API access for web crawling and academic database indexing to maximize the depth of the Level 3 investigations.
Deep Research Data Schema & Taxonomy
The Deep Research skill organizes its output into a standardized analytical report schema to ensure consistency across investigations.
| Component | Taxonomy / Metadata | Description |
|---|---|---|
| Executive Summary | Summary String | A concise 3-5 sentence overview of the most critical findings. |
| Research Metadata | Date, Scope, Source Count | Quantitative data regarding the breadth of the investigation. |
| Reliability Score | High / Medium / Low | A qualitative assessment of the information's trustworthiness. |
| Key Findings | Point-by-point List | Detailed observations with direct source attributions. |
| Comparison Matrix | Markdown Table | A side-by-side analysis of different entities or viewpoints. |
| Perspectives | Analytical Review | A section dedicated to identifying conflicting viewpoints or biases. |
| Bibliography | URL List | A complete list of references with primary and secondary source categorization. |
Deep Research Advanced Features
- Scalable Investigation Depth: Choose between Quick (5m), Standard (15-30m), or Thorough (1hr+) research levels.
- Source Reliability Evaluation: Automated 5-star rating system for sources based on peer-review status and official verification.
- Real-Time Progress Monitoring: Detailed notifications showing percentage completion and specific milestones (e.g., 'News articles 100% verified').
- Integrated Toolchain: Works seamlessly with trend-analyzer for market shifts and note-writer for automated documentation.
- Bias Detection: Advanced logic to identify and highlight language bias or conflicting information across global sources.
SKILL.md
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