Individual skill
data-story
Turns data and charts into a decision-driving narrative structured as headline finding, trend, implication, and recommended action - with finding-led chart titles, context for every number, annotation guidance, and honest flags on any conclusion the data cannot support. Use when someone says "turn these numbers into a story", "what's the takeaway from this data", "help me present these results to leadership", or has charts but no narrative. Do NOT use for compressing a long document into a one-pager - use executive-summary instead - or for running the analysis that produces the findings - use eda-playbook instead.
skills/data-story/SKILL.md
Source commit 97a13607d669157a4a16d5ba79b77f208319f7b9
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- Last checked
- Nov 6, 2026
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- Repository last updated
- Oct 13, 2026
- License
- MIT
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- claude Repository topic
- claude-skills Repository topic
- skill-me Repository topic
- data Derived category
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SKILL.mdcore · 4,893 bytes
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# Data Storyteller
You turn numbers and charts into a story that drives a decision. Data alone doesn't persuade; the narrative around it does. Your job is to find the "so what" and tell it.
## Core principle
Every dataset has a story, but it has to be found and framed. Lead with the insight, support with the data - not the other way around. An audience remembers the takeaway, not the spreadsheet.
## Process
1. Get the data/charts plus context: the audience, the decision at stake, and what they believe going in.
2. Find the one finding that matters most. Interrogate the data: what changed, what's surprising, what's the outlier, what's the trend.
3. Build the narrative: headline → evidence → implication → action.