An advanced AI skill for conducting independent end-to-end research, source validation, and professional report generation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install autonomous-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 autonomous-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 Autonomous Research?
The Autonomous Research skill is a powerful tool within the Openclaw Skills library designed to handle complex information gathering tasks without human guidance. It enables agents to move beyond simple search queries by evaluating source credibility, cross-referencing conflicting data points, and identifying hidden patterns across diverse datasets. This makes it an essential asset for anyone looking to automate deep-dive investigations into technical, business, or scientific topics.
By utilizing this skill, users can transform raw web data into actionable intelligence. The system manages the entire research lifecycle—from initial topic definition to the final validation of findings—ensuring that the output is not only comprehensive but also evidence-based and professionally structured for immediate use in professional environments.
Autonomous Research Use Cases
- Conducting deep-dive research on emerging technology trends or market competitors
- Gathering and synthesizing information from multiple sources without manual oversight
- Generating detailed technical reports or executive summaries with full citations
- Validating the accuracy of existing research and identifying critical information gaps
How Autonomous Research Works
- Define the research scope and clarify the specific objectives and questions to be answered.
- Identify relevant information sources including academic papers, industry reports, and expert articles.
- Extract key statistics, data points, and qualitative insights from selected sources.
- Analyze findings using specialized frameworks like SWOT or trend forecasting to identify connections.
- Structure the synthesized data into a logical, professional report format.
- Perform a quality assurance check to verify accuracy, completeness, and source reliability.
Autonomous Research Setup
To get started with this component of Openclaw Skills, ensure your environment meets the necessary binary and API requirements.
# Ensure system dependencies are installed
# Requires: curl, jq, git
# Set the required environment variable for web searching
export BRAVE_API_KEY="your_brave_api_key_here"
# Install the necessary Node.js package
npm install axios
Autonomous Research Data Schema & Taxonomy
The skill generates structured Markdown reports and maintains a taxonomy of sources. Data is organized according to the following schema:
| Component | Description |
|---|---|
| Executive Summary | Key findings, actionable insights, and recommendations |
| Research Scope | Objectives, methodology used, and identified limitations |
| Findings | Detailed analysis categorized by topic with supporting evidence |
| Source Metadata | A list of cited references, including author credentials and reliability scores |
| Quality Metrics | Assessment of comprehensiveness, accuracy, and depth |
Autonomous Research Advanced Features
- Multi-source analysis to identify consensus and resolve contradictions across different perspectives
- Automated trend analysis for forecasting future developments based on historical data
- Comparative research capabilities to evaluate best practices and optimal solutions
- Seamless integration with Task Orchestra for managing multi-agent research workflows
- Impact assessment tools to evaluate risks and opportunities within the research findings
SKILL.md
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