by QinghongLin · Agent Tool · ★ 138
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 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 inspector where you can click any claim to see the data, code, or citation behind it. Multimodal by default.
| Stars | 138 |
| Forks | 19 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 71.550091257404/100 |
| Open Issues | 1 |
| Last Updated | 2026-07-05 |
| Created | 2026-05-23 |
| Platforms | python |
| Est. Tokens | ~14k |
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data2story-skill is Data Journalist Agent: Transforming Data into Verifiable Multimodal Story. It is categorized as a Agent Tool with 138 GitHub stars.
data2story-skill is primarily written in Python. It covers topics such as agent-skills, data-journalists, data-science.
You can find installation instructions and usage details in the data2story-skill GitHub repository at github.com/QinghongLin/data2story-skill. The project has 138 stars and 19 forks, indicating an active community.
data2story-skill is released under the MIT license, making it free to use and modify according to the license terms.