paper-plan

Generate a structured paper outline with claims-evidence matrix and citation scaffolding.

1|Updated May 14, 2026
One-click install
npx skills add https://github.com/lix965996-art/MMM --skill paper-plan-lix965996-art
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper-plan
Source: https://github.com/lix965996-art/MMM/tree/main/resources/app/skills/paper-plan
Command: npx skills add https://github.com/lix965996-art/MMM --skill paper-plan-lix965996-art

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It helps you convert review conclusions and experiment results into a coherent, submission-ready paper outline so you can move from evidence to structure without guessing.

Core Features & Use Cases

  • Claims–Evidence Matrix planning: identifies core claims, aligns them to evidence, and flags gaps before writing.
  • Venue-aware structure and page budgeting: generates a 5–8 section plan tuned for ICLR/NeurIPS/ICML expectations.
  • Figure and citation scaffolding: plans figures/tables (including audit/benchmark checks) and creates per-section citation instructions with verification flags.

Quick Start

Ask for a paper outline by providing your topic or narrative doc, plus any available review conclusions and experiment results, and the skill will produce PAPER_PLAN.md with a full structure, figure plan, and citation scaffolding.

Frequently Asked Questions about paper-plan

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

FAQPage Schema
How do I structure a research paper outline for ICLR or NeurIPS submission?

To structure a research paper outline for ICLR or NeurIPS, you need venue-aware sectioning with a 5–8 section plan. This approach generates a structured outline from your experiment results and review conclusions, ensuring it meets conference expectations before drafting.

How do I align claims with experimental evidence before writing a paper?

Aligning claims with experimental evidence requires building a claims-evidence matrix. This method identifies your core claims, maps them directly to available experimental results, and flags any evidence gaps before you start drafting the manuscript.

What is the best way to plan figures and citations for an empirical machine learning paper?

Planning figures and citations for an empirical ML paper involves creating figure and citation scaffolding. This includes planning figures with audit and benchmark checks, plus generating per-section citation instructions with verification flags.

Can I generate a paper outline from review conclusions and experiment results?

Yes, you can generate a paper outline from review conclusions and experiment results. By processing your narrative description alongside this data, the system outputs a PAPER_PLAN.md file containing the full structure, figure plan, and citation scaffolding.

Does this paper planning workflow support theory and experiment focused papers?

Yes, this paper planning workflow supports theory and experiment focused papers. It handles empirical, theory+experiment, and method-focused paper writing workflows, fitting the specific planning requirements for ICLR, NeurIPS, or ICML style submissions.