An autonomous research pipeline does all the hard work for you. Just give it a topic idea. It will search for real papers, run experiments, and write a complete academic paper. The final output is ready for conferences like NeurIPS or ICML.
The pipeline has 23 stages that happen automatically. It uses tools like arXiv and Semantic Scholar to find real citations. Experiments run in a safe sandbox. A multi-agent system even does peer review. You get a conference-ready LaTeX file formatted for top conferences.
Global
mkdir -p ~/.claude/skills/autoresearchclaw-autonomous-researchProject
mkdir -p .claude/skills/autoresearchclaw-autonomous-researchSource Repository
Lark Baselarksuite/cli
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Lark Wikilarksuite/cli
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Paper Context Resolverlllllllama/ai-paper-reproduction-skill
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Repo Intake And Planlllllllama/ai-paper-reproduction-skill
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Firecrawl Searchfirecrawl/cli
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Ai Research Reproductionlllllllama/rigorpilot-skills
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Minimal Run And Auditlllllllama/rigorpilot-skills
Capture evidence from deep learning runs and create standardized audit reports