paper-orchestra

# 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. `s...