这是一种数据记者代理技能，能将任何数据集转化为可验证、基于证据的多模态故事——一篇自成一体的HTML文章，每句话都追溯到支持其存在的数据或来源。

它的作用

https://github.com/user-attachments/assets/7a2e2b65-3289-431d-b06a-230252df8774

• 数据集→完成的文章。 指向CSV、数据文件夹或论文，固定的七个角色流水线即可生成可发布的HTML故事，端到端。
• 有证据依据。 每句话和视觉都指向其来源。管道会发出一个viewer.html检查器，你可以点击任何声明查看背后的数据、代码或引用。
• 默认多模态。 图表、图片、视频、音频、地图和交互元素——从数据的实际属性中选择，而非固定的清单。媒体生成通过OpenRouter进行路由。
• 可验证。 每次运行都会写入其自己的版本化项目文件夹，并快照所使用的具体技能版本，因此每个结果都可以被追踪和重新检查。
• 渐进披露。 每个角色的“技能。

Data2Story

A data-journalist agent skill that turns any dataset into a verifiable, evidence-grounded multimodal story — a self-contained HTML article where every sentence traces back to the data or source that justifies it.

What it does

https://github.com/user-attachments/assets/7a2e2b65-3289-431d-b06a-230252df8774

• Dataset → finished article. Point it at a CSV, a folder of data, or a paper, and a fixed pipeline of seven roles produces a publishable HTML story end to end.
• Evidence-grounded. Every sentence and visual links back to its source. The pipeline emits a viewer.html inspector where you can click any claim to see the data, code, or citation behind it.
• Multimodal by default. Charts, images, video, audio, maps, and interactive elements — chosen from the data’s actual properties, not a fixed checklist. Media generation routes through OpenRouter.
• Verifiable. Each run writes to its own versioned project folder and snapshots the exact skill versions used, so every result can be traced and re-checked.
• Progressive disclosure. Each role’s SKILL.md holds only its instructions; bulky reference material (output schemas, field rules, lookup tables) lives in that role’s references/ folder as JSON and is loaded only when needed.

Two versions. The repository ships two peer skills under skills/ — the richer, current build is data2story-pro; the paper’s reproducible version is data2story.

Skill	Invoke	What it is
data2story-pro	/data2story-pro	Improved version of data2story. See skills/data2story-pro/README.md.
data2story	/data2story	The paper’s canonical 7-role pipeline.

Updates

• [x] [2026.6] Version 0.1.0: Optimized visual effects.
• [x] [2026.6.9] Released the arXiv paper, GitHub repository.
• [x] [2026.5.11] Data2Story was accepted as a Spotlight paper at the ACM Conference on AI and Agentic Systems workshop.

Installation & usage

Data2Story is an agent skill. The orchestrator lives in skills/data2story/SKILL.md — it works first-class with Claude Code, and equally with Codex, Cursor, Gemini CLI, and other agents.

1. Set your API key. Media generation routes through OpenRouter by default:

   export OPENROUTER_API_KEY=sk-or-...
   

2. Run the skill on a dataset:

   • Claude Code — make the skill available (place skills/data2story/ under ~/.claude/skills/, or run from inside this repo), then:

     /data2story data/pick_a_card