Ar9av

Ar9av / paper-orchestra

Public

An automated AI research-paper writer based off PaperOrchestra paper's implementation through a skills : five composable skills + benchmark + autoraters using any coding agent (Claude Code, Cursor, Antigravity, Cline, Aider). No API keys, no LLM SDKs.

arxiv.orgpdf2604.05018 agentic-ai ai-research anthropic antigravity arxiv
18
2
100% credibility
Found Apr 10, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A skill pack of instructions and validation helpers that enables AI coding agents to automate the generation of research papers from unstructured notes using a multi-agent pipeline described in an arXiv paper.

How It Works

1
📚 Discover Paper Orchestra

You find this handy pack that helps your AI coding assistant turn your research notes into a full academic paper.

2
⬇️ Get the Pack Ready

Download the pack and set up the simple helpers so everything works smoothly with your AI buddy.

3
📝 Gather Your Notes

Collect your idea summary, experiment results, paper template, and conference rules into one folder.

4
🗂️ Set Up Your Workspace

Create a special folder for your project where all the magic will happen.

5
🎼 Launch the Orchestra

Tell your AI coding assistant to run the paper orchestra on your folder, and watch it coordinate the team of helpers.

6
✨ See It Build Your Paper

Your assistant creates an outline, draws charts, finds references, writes sections, and polishes everything step by step.

✅ Get Your Ready Paper

Celebrate as you receive a complete, submission-ready LaTeX paper from your notes!

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AI-Generated Review

What is paper-orchestra?

Paper-orchestra turns raw research inputs like idea summaries, experimental logs, LaTeX templates, and conference guidelines into submission-ready papers via a multi-agent pipeline. Built in Python, it provides pluggable skills for coding agents like Claude Code, Cursor, or Aider—no API keys or LLM SDKs needed, just symlink skills and run "paper-orchestra pipeline on workspace." Developers get automated outline generation, parallel plotting and literature reviews, section drafting, and content refinement with built-in autoraters and benchmarks.

Why is it gaining traction?

It implements the PaperOrchestra agent orchestration paper verbatim, outperforming single-agent baselines by 14-68% on quality metrics, with deterministic helpers for citation verification, BibTeX formatting, and LaTeX sanity checks. The zero-dependency model hooks users tired of SDK wrangling, enabling quick tests on automated github actions or automated research paper topics like irrigation systems and parking setups. Parallel steps and optional Exa search keep it fast without custom infra.

Who should use this?

AI researchers drafting agent orchestration papers or automated hydroponic system research papers from experiment logs. Coders using Cursor/Aider for automated github releases who want to prototype automated grading system research papers. It's ideal for solo devs automating trash bin or waste segregation papers without a full team.

Verdict

Try it for niche automation if you're already in a coding agent workflow—docs are solid with examples, but 11 stars and 1.0% credibility signal early-stage maturity; expect tweaks for production papers.

(187 words)

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