Implement techniques from ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch. Chart reasoning is a critical capability for Vision Language Models (VLMs)
Scanned 9/9/2026
Install to Claude Code
npx -y skills add ADu2021/skillXiv --skill chartverse-scaling-chart-reasoning-via-reliable-pr --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: chartverse-scaling-chart-reasoning-via-reliable-pr
title: "ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch"
version: 0.0.2
engine: skillxiv-v0.0.2-claude-opus-4.6
license: MIT
url: "https://arxiv.org/abs/2601.13606"
keywords: ["model", "training", "reasoning"]
description: "Implement techniques from ChartVerse: Scaling Chart Reasoning via Reliable Programmatic Synthesis from Scratch. Chart reasoning is a critical capability for Vision Language Models (VLMs)"
---
## Overview
This skill implements concepts from the research paper [[2601.13606](https://arxiv.org/abs/2601.13606)].
## When to Use
- When you need to implement techniques described in this paper
- When working on problems that this research addresses
- When you want to understand the core concepts and methodology
## When NOT to Use
- This skill provides research-level insights; production implementations may require additional engineering
- Some concepts may require significant tuning for specific use cases
- Always evaluate applicability to your specific problem domain
## Key Concepts
The paper addresses: Chart reasoning is a critical capability for Vision Language Models (VLMs). However, the development of open-source models is severely hindered by the lack of high-quality training data. Existing datasets suffer from a dual challenge: synthetic chart...
For detailed methodology, refer to the [full paper](https://arxiv.org/html/2601.13606).
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