Paper Orchestra
Orchestrate the full PaperOrchestra (Song et al., 2026, arXiv:2604.05018) five-agent...
Install
npx skills add Ar9av/PaperOrchestra --skill paper-orchestra -g -a claude-code -y- Repository
- Ar9av/PaperOrchestra694
- Category
- Documents
- Updated
- 24d ago
- License
- See repository
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- Yes, review before use
What it does
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.
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
