paper-orchestralisted
Install: claude install-skill Ar9av/PaperOrchestra
# 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