by Ar9av · Claude Skill · ★ 474
PaperOrchestra A pluggable skill pack that lets any coding agent in Claude Code, Cursor, Antigravity, Cline, Aider, OpenCode, etc. which can run the PaperOrchestra multi-agent pipeline for turning unstructured research materials into a submission-ready LaTeX paper. Song, Y., Song, Y., Pfister, T., Yoon, J. PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing. arXiv:2604.05018, 2026.
| Stars | 474 |
| Forks | 67 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 52.594/100 |
| Last Updated | 2026-05-15 |
| Created | 2026-04-09 |
| Platforms | claude-code, cli, python |
| Est. Tokens | ~209k |
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PaperOrchestra is An automated AI research-paper writer based off Google's PaperOrchestra paper's implementation through a skills - benchmark + autoraters using any coding agent (Claude Code, Cursor, Antigravity, Clin. It is categorized as a Claude Skill with 474 GitHub stars.
PaperOrchestra is primarily written in Python. It covers topics such as agentic-ai, ai-research, anthropic.
You can find installation instructions and usage details in the PaperOrchestra GitHub repository at github.com/Ar9av/PaperOrchestra. The project has 474 stars and 67 forks, indicating an active community.