Data Storyteller Skill for ChatGPT: Write Chart Annotations and Slide Takeaways
Turn supplied statistics into a chart headline, explanatory annotation, and presentation copy. Keep comparisons legible and flag hypotheses that still need evidence.
中文Install in ChatGPT
Use an eligible ChatGPT workspace with permission to create skills and, for uploads, upload permission. The installation path for this text-only adaptation was checked against OpenAI documentation. Workspace runtime verification is pending.
- Download skills/data-storyteller/SKILL.md from the pinned GitHub source. Keep the name, description, and instructions for data-storyteller together as a standalone text skill.
- In a ChatGPT workspace with skills and uploads enabled, open Plugins, Skills, Create, and Upload from your computer. Choose a skill package format accepted by the file picker. You can also choose Create with editor and enter the original name, description, and instructions.
- After the scan completes, check that data-storyteller appears in Installed. Type @ in a new chat, select the skill, and use the fictional example on this page to check the output.
Example task
Library visits rose from 200 in September to 260 in October. Weekend visits rose from 80 to 130. Write a chart title, annotation, and one hypothesis for staff to check.What to check
Show the increases of 60 overall and 50 on weekends, with their periods and measures. If the total increase is expressed as 30%, keep the original base of 200 visible.
Original SKILL.md on GitHub · Updated
Frequently asked question
Does a data story have to explain why a change occurred?
An unsupported explanation can be a labeled hypothesis with a next evidence check. Start with the change readers can verify.