paper-plan

Generate a structured paper outline with claims-evidence matrix and figure plans.

Updated May 25, 2026
One-click install
npx skills add https://github.com/duypham2801/ThS_LLM --skill paper-plan-duypham2801
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: paper-plan
Source: https://github.com/duypham2801/ThS_LLM/tree/main/.claude/skills/paper-plan
Command: npx skills add https://github.com/duypham2801/ThS_LLM --skill paper-plan-duypham2801

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3.

What problem does it solve?

Producing a convincing paper structure is hard when you already have conclusions and partial experimental evidence, because you need a coherent section plan, a claims-to-evidence map, and a venue-aware layout.

Core Features & Use Cases

  • Structured paper outline generation: Builds a section-by-section plan from narrative review conclusions and experiment results.
  • Claims–evidence planning: Creates a contribution-focused outline backbone with a claims-to-evidence matrix to reduce unsupported statements.
  • Figure and citation scaffolding: Proposes hero figure content, a full figure/table plan, and per-section citation needs aligned to the selected venue.
  • Optional style alignment (opt-in): Can extract structural guidance from an external style reference when explicitly requested, without copying prose.

Quick Start

Ask the skill to create a paper outline: write a prompt like generate a paper outline for my research using the evidence in NARRATIVE_REPORT.md and figures/results in this repository, and specify the venue as ICLR.

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 paper outline from existing research conclusions and experiment results?

To generate a paper outline, you provide your narrative research conclusions and experiment artifacts. The tool then creates a structured Introduction-to-Conclusion section plan tailored for an ML or academic venue submission.

Can I create a claims-evidence matrix to map my experiment results to paper contributions?

Yes, the tool creates a claims-evidence matrix that maps your contributions to available experiment evidence, reducing unsupported statements and ensuring your paper outline has a contribution-focused backbone.

How do I plan figures and citations for an academic submission when I only have narrative reports?

You can convert narrative reports into a detailed figure and table plan, including a hero Figure 1 proposal and per-section citation scaffolding lists aligned to your selected academic venue's requirements.

Does this tool fabricate missing evidence when building a section-by-section plan?

No, the tool explicitly avoids fabricating missing evidence. It builds the section-by-section plan and claims-evidence matrix strictly from your provided experiment artifacts and narrative review conclusions.

Can I align my research paper outline with a specific academic venue structure like ICLR?

Yes, you can specify your target venue, such as ICLR, to receive a venue-aware layout that structures your paper outline, figures, and citation scaffolding according to that venue's specific constraints.

Do I need python3 to convert my experiment artifacts into a paper outline?

Yes, python3 is a required dependency for executing the tool. You need a python3 environment to process your narrative reports and experiment artifacts into a structured academic paper plan.