# Turn Data Into Decision-Ready Stories

Raw metrics often fail to explain why results matter or what leaders should do next. This skill structures evidence into clear narratives, visuals, and recommendations.

## Install

```bash
npx skillstore add sickn33/data-storytelling
```

## Metadata

- Status: approved
- Slug: sickn33-data-storytelling
- Skillstore revision: r2
- Version status: missing
- Tree hash: 619e7a904b9d9556d9eb8198913112b7abfea25bff403c0bfeff578e008620d4
- Author: sickn33
- GitHub username: sickn33
- License: MIT
- Repository: https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/data-storytelling
- Ref: f9e2c34b4f19c7f3e6b0a1e93227b5f77cc12526
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: external\_commands, network
- Quality score: 78
- Quality tier: bronze
- Public page: https://skillstore.pages.dev/skills/sickn33-data-storytelling
- Manifest: https://skillstore.pages.dev/api/skills/sickn33-data-storytelling/manifest

## Capabilities

- Structures data narratives with problem-solution, trend, and comparison frameworks.
- Drafts executive headlines, key insights, recommendations, and specific calls to action.
- Suggests progressive reveal, comparison, annotation, and highlighting techniques for visualizations.
- Organizes content into slide flows, executive summaries, and one-page dashboard stories.
- Frames uncertainty with ranges, confidence statements, sample sizes, and appropriate caveats.

## Use Cases

- Prepare an Executive Review: Turn quarterly metrics into a concise performance narrative with key changes, implications, and a clear decision request.
- Explain an Analytics Finding: Present a complex trend to non-technical stakeholders using context, comparisons, caveats, and recommended actions.
- Shape an Investor Narrative: Organize growth, market, and risk evidence into a structured presentation with transparent assumptions and next steps.

## Prompt Templates

### Summarize One Finding

```
Turn this finding into a clear headline, two supporting facts, one implication, and one action: [finding and data]. Audience: [audience].
```

### Build a Data Story

```
Create a problem-solution data story from [data]. Include context, the main insight, supporting evidence, limitations, recommendations, and a specific call to action.
```

### Design an Executive Slide Flow

```
Design a seven-slide executive narrative for [decision]. For each slide, provide the headline, evidence, suggested visual, implication, and transition.
```

### Compare Strategic Options

```
Compare [option A] and [option B] using [criteria and weights]. Build a transparent recommendation, sensitivity analysis, risks, caveats, and implementation steps.
```

## Limitations

- Does not verify source data, calculations, statistical significance, or causal claims.
- Provides narrative and visualization guidance, not finished presentation files or interactive dashboards.
- The Python chart example requires supplied variables, installed dependencies, and adaptation to the dataset.
- Does not replace domain, financial, legal, or statistical expert review.

## Best Practices

- Lead with the decision-relevant insight, then provide the evidence and context.
- Match detail, terminology, and visualization choices to the audience.
- Separate observed facts, interpretations, assumptions, and recommendations.

## Anti Patterns

- Do not present every available metric without a clear narrative purpose.
- Do not imply causation when the evidence only supports correlation.
- Do not hide uncertainty, sample limitations, or alternative explanations.

## Security Audit

- Audited at: 2026-07-23T22:19:53.085\+00:00
- Summary: All 36 static detections are false positives caused by Markdown code fences, business example language, and ordinary reference links. The skill contains no command execution, automated network requests, prompt injection, or other malicious behavior.

## Stats

- Views: 107
- Downloads: 13
- Favorites: 2
- Popularity score: 0