Install any skill in seconds. Free to start, no credit card required.
Get Started Free →ar9av/paper-orchestra
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-writi
Passed 15 of 19 test cases with the skill, and 13 of 19 without it.
and 1 more in the full report
4 fixed13 passed either way3 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
What exact command line instruction should be executed to build the final submission PDF inside the completed workspace?
| Checked | Without skill | With skill |
|---|---|---|
| Executes latexmk -pdf paper.tex inside the workspace/final directory | Missed | Passed |
The instructions your model reads when the skill loads.
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
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).
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.
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
test cases passed, vs 13 / 19 without
Published skills whose descriptions closely match this one, with their headline benchmark lift.
More skills from the same source and nearby in the registry, with their headline benchmark lift.