math-modeling-pipeline/phase-8

Generate a publication-ready Markdown manuscript from verified modeling outputs.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/SOGERSEN/math-modeling-pipeline --skill math-modeling-pipeline-phase-8
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: math-modeling-pipeline/phase-8
Source: https://github.com/SOGERSEN/math-modeling-pipeline/tree/main/phases/phase-8
Command: npx skills add https://github.com/SOGERSEN/math-modeling-pipeline --skill math-modeling-pipeline-phase-8

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Phase 8 automates the creation of a complete competition paper in Markdown from prior phase results, ensuring traceability and publication-ready formatting.

Core Features & Use Cases

  • End-to-end paper composition: from problem restatement to a unified manuscript with figures, tables, and formulas.
  • Asset-driven writing: integrates verified_results.json, image assets, and references to build a fully traceable manuscript.
  • Quality assurance: enforces image availability, correct figure numbering, in-text citations, and adherence to formatting standards.

Quick Start

Run Phase 8 to generate a complete manuscript from all phase outputs using verified_results.json and image assets.

Frequently Asked Questions about math-modeling-pipeline/phase-8

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

FAQPage Schema
How do I generate a publication-ready manuscript from mathematical modeling results?

You generate a publication-ready manuscript by automating end-to-end paper writing from modeling outputs to Markdown, enforcing verified_results.json as the single source of truth for traceable figures, tables, and formulas.

Can I automatically integrate figures and tables into academic paper writing?

Yes, asset-driven academic paper writing automatically integrates image assets and references, validating image availability and correct figure numbering to build a fully traceable manuscript during generation.

How does manuscript generation ensure traceability to prior phase results?

Manuscript generation ensures traceability by enforcing verified_results.json as the single source of truth, validating image assets, and maintaining references to prior phase results throughout the Markdown paper.

What is the best way to automate competition paper writing in Markdown format?

The best way to automate competition paper writing in Markdown is running an end-to-end pipeline that composes everything from problem restatement to unified manuscripts while validating figure numbering and in-text citations.

Do I need a verified_results.json file to start automated paper composition?

Yes, you need verified_results.json to start automated paper composition because it serves as the single source of truth that validates image assets, figure numbering, and references to prior phase results.

Why does manuscript generation fail when image assets are missing or incorrectly numbered?

Manuscript generation fails because quality assurance enforces image availability and correct figure numbering during generation, rejecting outputs that break traceability between verified_results.json and referenced assets.