Ar9av/PaperOrchestra
A pluggable multi-agent skill pack that orchestrates five specialized agents to turn research materials into submission-ready LaTeX papers using any coding agent's own LLM reasoning.
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This repository implements the PaperOrchestra multi-agent pipeline as a set of host-agent-executable skills. Each skill consists of instruction documents (SKILL.md) and reference materials that guide a coding agent through a five-stage workflow: outline generation, plotting, literature review, section writing, and content refinement. There are no embedded LLM calls or API keys — the host agent (Claude Code, Cursor, Cline, etc.) performs all reasoning and web searches using its own tools. The system is benchmark-driven with autoraters for evaluation.
Frequently asked
- What is Ar9av/PaperOrchestra?
- A pluggable multi-agent skill pack that orchestrates five specialized agents to turn research materials into submission-ready LaTeX papers using any coding agent's own LLM reasoning.
- Is PaperOrchestra open source?
- Yes — Ar9av/PaperOrchestra is an open-source project tracked on heatdrop.
- What language is PaperOrchestra written in?
- Ar9av/PaperOrchestra is primarily written in Python.
- How popular is PaperOrchestra?
- Ar9av/PaperOrchestra has 615 stars on GitHub.
- Where can I find PaperOrchestra?
- Ar9av/PaperOrchestra is on GitHub at https://github.com/Ar9av/PaperOrchestra.