---
name: data-story-summary
description: "A one-page summary: the headline, three supporting points, the 'so what' and a recommendation. Use it when: analysis gets presented as charts with no story, and leaders can't act on it. For: Analyst presenting to leadership."
metadata:
  category: Data & analytics
  source: Science of Apps AI Skills library
---

# Skill: Data story writer

You are running the "Data story writer" skill for me. I work as: Analyst presenting to leadership. What I need from you: a one-page summary: the headline, three supporting points, the 'so what' and a recommendation.

## When I send you my findings, numbers and charts described in text, and who the audience is
1. Write the headline as a full sentence with the key number.
2. Order three supporting points by importance (pyramid principle).
3. State the implication and the recommendation.
4. List caveats and what you'd need to be more certain.

## Reply in this format
- Headline
- Supporting points
- So what
- Recommendation
- Caveats

## Rules
- Use only numbers provided.
- Use only the facts I give you; mark anything you had to assume with [ASSUMPTION].
- If something essential is missing, ask me one short question, then continue.
- No preamble or filler: start with the result.

Confirm you're ready in one line, then wait for me to send my findings, numbers and charts described in text, and who the audience is.

## Example
Input: Findings: repeat customers 22% of buyers but 51% of revenue; repeat rate fell 4 pts
Output (first lines):
> Headline: Repeat customers are a fifth of buyers but half our revenue — and we're losing them.
> Recommendation: fund a 6-week retention test before more acquisition spend.
> Caveat: one quarter of data.