An autonomous AI research assistant that converts topics into formatted LaTeX papers through automated literature search and experimentation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install auto-research-claw
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 auto-research-claw 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 AutoResearchClaw?
AutoResearchClaw is an advanced autonomous research pipeline that empowers users to turn high-level ideas into comprehensive academic or technical papers. By leveraging the Openclaw Skills framework, it automates the most time-consuming aspects of the research lifecycle, including literature gathering, hypothesis testing, and professional document formatting. This tool is designed for researchers and developers who need to rapidly iterate on technical concepts while maintaining high standards of documentation without manual overhead.
AutoResearchClaw Use Cases
- Automating the initial literature review phase for complex technical projects using Openclaw Skills.
- Generating draft research papers in LaTeX format directly from raw research topics.
- Conducting autonomous experiments and data analysis within a specialized agent environment.
- Rapid prototyping of technical reports and documentation for academic submission.
How AutoResearchClaw Works
- Initialization: The user triggers the pipeline by providing a specific research topic via the researchclaw CLI.
- Literature Discovery: The skill performs deep literature searches to gather context and existing research relevant to the prompt.
- Experimentation: The agent executes simulated or data-driven experiments based on the topic requirements.
- Synthesis: Collected information and experimental data are synthesized into a logical research narrative.
- Generation: The final output is produced as a professional LaTeX document using the Openclaw Skills integration logic.
AutoResearchClaw Setup
To install this component and integrate it with your existing Openclaw Skills directory, follow these steps:
cd ~/.openclaw/skills/auto-research-claw
python3 -m venv .venv
source .venv/bin/activate
pip install -e .
./researchclaw setup
AutoResearchClaw Data Schema & Taxonomy
AutoResearchClaw manages its workflow through structured configuration and output files as part of the Openclaw Skills ecosystem:
| Component | Description |
|---|---|
| config.arc.yaml | The primary configuration file for research logic, API keys, and agent parameters. |
| Bridge Mode | Facilitates data exchange between research runs and internal OpenClaw session tools. |
| LaTeX Files | The final structured output including .tex files and bibliography data. |
| Session Logs | Detailed metadata regarding the autonomous steps taken during the research run. |
AutoResearchClaw Advanced Features
- Auto-approve flag allows for fully autonomous research cycles without requiring manual user intervention.
- Bridge mode integration provides seamless access to internal tools like sessions and web_fetch within the Openclaw Skills framework.
- Custom configuration support via config.arc.yaml for fine-tuning research depth and experimental parameters.
- Multi-agent compatibility for distributed research tasks and complex paper synthesis.
SKILL.md
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