by Ar9av · Claude Skill · ★ 575
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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. Click to read the paper on arXiv Why this exists The paper defines a five-agent pipeline Outline Plotting Literature Review Section Writing Content Refinement that substantially outperforms single-agent and tree-search baselines on the benchmark (50–68% absolute win margin on literature review quality; 14–38% on overall quality). The paper ships the exact prompts for every agent in Appendix F. This repo turns those prompts, schemas, halt rules, and verification pipelines into a set of host-agent-executable skills. There are no API keys, no SDK dependencies, no embedded LLM calls. The skills are instruction documents plus deterministic helpers; your coding agent does all LLM reasoning and web search using its own tools. <p align="cent
| Stars | 575 |
| Forks | 80 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 52.594/100 |
| Last Updated | 2026-06-13 |
| Created | 2026-04-09 |
| Platforms | claude-code, cli, python |
| Est. Tokens | ~18k |
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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 575 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 575 stars and 80 forks, indicating an active community.
The top alternatives to PaperOrchestra on Agent Skills Hub include awesome-claude, aws-agent-skills, agent-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.