Turn a research idea into a draft paper workflow with AutoResearchClaw

Use AutoResearchClaw when an agent should turn a raw research topic into literature review, experiment planning, draft writing, and verification artifacts instead of improvising an end-to-end paper workflow by hand.

Prerequisites

AutoResearchClaw CLI, an LLM provider, literature-source access, and the configured sandbox/runtime for experiment stages

Installation

Use the upstream install or setup path that matches your environment:

• pip install -e . && researchclaw setup && researchclaw init && researchclaw run --topic "Your research idea here" --auto-approve
• git clone https://github.com/aiming-lab/AutoResearchClaw.git
• pip install -e .
• pip install metaclaw

Requirements and caveats from upstream:

• <a href="https://python.org"><img src="https://img.shields.io/badge/Python-3.11%2B-3776AB?logo=python&logoColor=white" alt="Python 3.11+"></a>

• 2. Setup (interactive — installs OpenCode beast mode, checks Docker/LaTeX)

• python_path: ".venv/bin/python"

Basic usage or getting-started notes:

• researchclaw run --topic "Your research idea here" --mode co-pilot

• 🚀 Quick Start

• Or manually: cp config.researchclaw.example.yaml config.arc.yaml

• Source: https://github.com/aiming-lab/AutoResearchClaw

• Extracted from upstream docs: https://raw.githubusercontent.com/aiming-lab/AutoResearchClaw/HEAD/README.md

Documentation

• https://github.com/aiming-lab/AutoResearchClaw

Source

• Agent Skill Exchange