paper-plan

Generate structured paper outlines from review conclusions and experiment results.

Updated Apr 2, 2026

Search Tags:#planning #writing #research #outline #experiments #paper #claims-evidence

Ready to run

npx skills add https://github.com/dz306271098/ARIS_for_Robotics --skill paper-plan-dz306271098

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: paper-plan
Source: https://github.com/dz306271098/ARIS_for_Robotics/tree/main/skills/paper-plan
Command: npx skills add https://github.com/dz306271098/ARIS_for_Robotics --skill paper-plan-dz306271098

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the creation of a structured paper outline from review conclusions, narrative reports, and experiment results, saving time and ensuring a coherent academic story.

Core Features & Use Cases

Automated Outline Generation: converts narrative documents, auto-review conclusions, and experiment data into a structured outline covering Abstract, Introduction, Method, Experiments, and Conclusion.
Venue-aware Planning: tailors section ordering and length to common venues (ICLR, NeurIPS, ICML, CVPR, IEEE journals) and generates a hero figure plan.
Inputs & Workflow: accepts narrative files (NARRATIVE_REPORT.md, STORY.md), auto-review conclusions, and JSON experiment results; merges them into a single outline with a Claims-Evidence structure.

Quick Start

Provide your narrative and experiment results, then request a paper outline.

Frequently Asked Questions about paper-plan

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

FAQPage Schema

How do I generate a structured paper outline from experiment results?▼

Generating a structured paper outline from experiment results requires applying a Claims-Evidence Matrix to map narrative reports and JSON data into organized sections, figures, and tables. This process converts raw experiment data into a coherent academic story.

Can I create a venue-specific outline for an ICLR or NeurIPS submission?▼

Creating a venue-specific outline for ICLR, NeurIPS, ICML, CVPR, or IEEE journals involves tailoring section ordering, length constraints, and page budgets to match the target venue. This approach aligns the structure with specific academic formatting standards.

How do I build a Claims-Evidence Matrix for a research paper?▼

Building a Claims-Evidence Matrix for a research paper involves mapping narrative conclusions and auto-review outputs against experiment data. This ensures every claim is supported by JSON results or figures, enforcing a coherent academic narrative within the outline.

What is the best way to plan paper sections and figures from a narrative report?▼

Planning paper sections and figures from a narrative report is best done by merging documents like STORY.md with experiment outputs to enforce page-budget constraints. This yields an organized outline with sections, figures, and tables planned.

Does automated outline generation work with raw JSON experiment data?▼

Automated outline generation works with raw JSON experiment data by merging it with narrative files and auto-review conclusions. This integration enforces a Claims-Evidence structure and outputs a complete, structured outline with planned figures.

When should I use automated paper outlining instead of manual section planning?▼

Using automated paper outlining instead of manual section planning is ideal when you have narrative reports and experiment data ready. It enforces a Claims-Evidence Matrix and venue-aware structure, saving time on organizing sections, figures, and tables.