paper-plan

Generate a section-by-section paper outline from review conclusions and experiment results.

2|1|Updated Apr 19, 2026
One-click install
npx skills add https://github.com/raja21068/AutoResearch --skill paper-plan-raja21068
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper-plan
Source: https://github.com/raja21068/AutoResearch/tree/main/skills/aris/paper-plan
Command: npx skills add https://github.com/raja21068/AutoResearch --skill paper-plan-raja21068

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It turns scattered review conclusions and experiment outcomes into a clear, section-by-section paper outline you can draft into a full manuscript without guessing structure.

Core Features & Use Cases

  • Claims-to-Structure Planning: Builds a contribution narrative from reviewer conclusions and validated experiment evidence, then maps claims to where they should appear in the paper.
  • Venue-aware Page Budgeting: Uses a configurable venue (e.g., ICLR/NeurIPS/ICML/ACL/CVPR/IEEE) to plan section lengths and what fits in the main-body budget.
  • Figure and Citation Scaffolding: Produces a detailed plan for the hero figure, additional figures/tables, and a citation plan by section to support reviewers’ skim-read decisions.
  • Optional Style-Profile Guidance: When provided via --style-ref, uses it strictly for structural guidance (not copied prose or claims) to shape outline density and component planning.

Quick Start

Generate a paper outline from your existing review results and experiment evidence for the venue ICLR by running the paper-plan skill in your project directory with the topic and any preferred narrative style reference.

Frequently Asked Questions about paper-plan

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a paper outline from experiment results and review conclusions?

A claims-evidence matrix maps your validated experiment outcomes to specific paper sections, ensuring every research claim has supporting data. This matrix structures your contribution narrative by linking review conclusions directly to where they belong in the manuscript.

Can I plan paper section lengths for specific venues like ICLR or NeurIPS?

Yes, venue-aware page budgeting plans section lengths for ICLR, NeurIPS, ICML, ACL, CVPR, and IEEE. It configures the MAX_PAGES constraint to ensure your main-body content fits the specific publication requirements.

What is a hero figure plan and how does it support a research manuscript?

A hero figure plan scaffolds the primary visual element to support reviewers' skim-read decisions. It structures the main figure alongside additional tables and section-by-section citation coverage to align visual evidence with your claims.

Do I need narrative reports and JSON logs to generate a research paper outline?

Yes, generating a research paper outline requires narrative reports, auto-review outputs, and experiment artifacts like JSON results and logs. These inputs provide the validated evidence and conclusions needed to build the claims-to-structure mapping.

Does paper-plan work with empirical, diagnostic, method, and theory writeups?

Paper-plan works with empirical, diagnostic, method, and theory writeups for AI research manuscripts. It processes experiment artifacts and review conclusions to generate a publication-ready outline regardless of the specific research methodology applied.