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othmanadi/researchclaw-skill

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26 stars 품질 56 트렌드 11MIT

Turn your coding agent into a one-command autonomous research paper generator. Wraps AutoResearchClaw's 23-stage pipeline with setup automation, interactive config, error diagnosis, and self-healing...

개요

Turn your coding agent into a one-command autonomous research paper generator. It is a wrapper that simplifies setup, configuration, execution, and troubleshooting — it does not replace the upstream project. Install AutoResearchClaw first, then install this skill on top. AutoResearchClaw is a fully autonomous 23-stage research pipeline by aiming-lab. You give it a research topic. It gives you a conference-grade LaTeX paper. The pipeline includes 3 human-approval gates, anti-fabrication guards, and a self-learning system (MetaClaw) that gets smarter with each run. AutoResearchClaw is powerful but painful to set up. 55+ issues filed in the first 5 days — most about setup failures, config confusion, and Stage 10 crashes. Works with Claude Code, Cursor, Codex, Gemini CLI, OpenClaw, and any agent supporting the Agent Skills spec.

README

원문 README의 일부입니다. 원문 보기.

Turn your coding agent into a one-command autonomous research paper generator.

中文文档 Chinese Documentation


This skill requires AutoResearchClaw to be installed. It is a wrapper that simplifies setup, configuration, execution, and troubleshooting — it does not replace the upstream project. Install AutoResearchClaw first, then install this skill on top.


AutoResearchClaw is a fully autonomous 23-stage research pipeline by aiming-lab. You give it a research topic. It gives you a conference-grade LaTeX paper.

What happens in those 23 stages:

Phase What It Does
Research Scoping Parses your topic, decomposes it into sub-problems
Literature Discovery Searches arXiv, Semantic Scholar, OpenAlex for real papers
Knowledge Synthesis Clusters findings, identifies gaps, generates testable hypotheses
Experiment Design Plans experiments, generates hardware-aware Python code
GitHub에서 전체 README 보기

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