# Paper Orchestra

Orchestrate the full PaperOrchestra (Song et al., 2026, arXiv:2604.05018) five-agent...

- Repository: https://github.com/Ar9av/PaperOrchestra (694 stars)
- Category: Documents
- License: see repository
- Last updated: 2026-10-11
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add Ar9av/PaperOrchestra --skill paper-orchestra -g -a claude-code -y`
Codex: `npx skills add Ar9av/PaperOrchestra --skill paper-orchestra -g -a codex -y`
Cursor: `npx skills add Ar9av/PaperOrchestra --skill paper-orchestra -g -a cursor -y`
Gemini CLI: `npx skills add Ar9av/PaperOrchestra --skill paper-orchestra -g -a gemini-cli -y`

## Description

Orchestrate the full PaperOrchestra (Song et al., 2026, arXiv:2604.05018) five-agent pipeline to turn unstructured research materials (idea, experimental log, LaTeX template, conference guidelines, optional figures) into a submission-ready LaTeX manuscript and compiled PDF. TRIGGER when the user asks to "write a paper from my experiments", "turn this idea and these results into a paper", "generate a conference submission", "run paper-orchestra on X", or otherwise wants the end-to-end paper-writing pipeline. Coordinates the outline-agent, plotting-agent, literature-review-agent, section-writing-agent, and content-refinement-agent skills.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# paper-orchestra (Orchestrator)

Top-level driver for the PaperOrchestra pipeline. Read this document and follow
the steps below. The detailed prompts and rules live in each sub-skill's
`SKILL.md` and `references/` directories, you (the host agent) will load them
as you go.

> Source paper: Song et al., *PaperOrchestra: A Multi-Agent Framework for
> Automated AI Research Paper Writing*, arXiv:2604.05018, 2026.
> <https://arxiv.org/pdf/2604.05018>

## What this skill produces

A complete submission package `P = (paper.tex, paper.pdf)` written into
`workspace/final/`, plus a full audit trail under `workspace/` (outline,
figures, refs, drafts, refinement worklog, provenance snapshot).

## Inputs (the (I, E, T, G, F) tuple from the paper)

The workspace MUST contain:

| File | Symbol | Required | Description |
|---|---|---|---|
| `workspace/inputs/idea.md` | `I` | yes | Idea Summary (Sparse or Dense variant, see `references/io-contract.md`) |
| `workspace/inputs/experimental_log.md` | `E` | yes | Experimental Log: setup, raw numeric data, qualitative observations |
| `workspace/inputs/template.tex` | `T` | yes | LaTeX template for the target conference (with `\section{...}` commands) |
| `workspace/inputs/conference_guidelines.md` | `G` | yes | Formatting rules, page limit, mandatory sections |
| `workspace/inputs/figures/` | `F` | no | Optional pre-existing figures. If empty, the plotting agent generates everything. |

`scripts/init_workspace.py` will scaffold this layout. `scripts/validate_inputs.py`
will check it before the pipeline runs.

## Pipeline (read `references/pipeline.md` for the full diagram)

```
Step 1: Outline           ──▶  outline.json                       (1 LLM call)
Step 2: Plotting     ─┐
                      ├──▶  figures/*.png + captions.json         (~20-30 calls)
Step 3: Lit Review   ─┘                                           (~20-30 calls)
                          intro_relwork.tex + refs.bib

The rest: https://github.com/Ar9av/PaperOrchestra/blob/HEAD/skills/paper-orchestra/SKILL.md