How do I install the Data Storytelling Advisor skill?

Run npx skillmds@latest add nandanosql/data-storytelling-advisor in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

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Which AI agents work with Data Storytelling Advisor?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Data Storytelling Advisor free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Data Storytelling Advisor?

nandanosql (@nandanosql) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Data Storytelling Advisor by nandanosql

Name: Data Storytelling Advisor
Author: nandanosql

File contents

Purpose

Transform raw data into compelling narratives that drive decisions — using storytelling frameworks to make data actionable and persuasive instead of just informational.

Application

Turn 1: The Data

Agent asks: "What data do you have and who's the audience?"

What metrics/data are you presenting?
Who's the audience? (Exec / Team / Board / External)
What decision should this data inform?

Turn 2: Find the Story

Agent asks: "Let me help find the narrative in this data."

## Situation-Complication-Resolution Framework

### Situation (Context)
"Here's where we are..."
[Current state — set the baseline]

### Complication (Tension)
"But here's what's changing/threatening/surprising..."
[The trend, gap, or anomaly that creates tension]

### Resolution (Recommendation)
"So here's what we should do..."
[The action the data supports]

Turn 3: Build the Narrative

## Data Story: [Title — headline, not label]

### The Headline
[One sentence: the insight, not the metric]
- ❌ "Q3 Churn Rate: 8.2%"
- ✅ "We're losing $180K/mo to preventable churn — here's how to fix it"

### The Context (1 slide/paragraph)
[Baseline + what we expected]

### The Insight (1-2 slides/paragraphs)
[What the data shows + why it matters]
[Visualizations that support the insight]

### The "So What" (1 slide/paragraph)
[What this means for the business/user]

### The Ask (1 slide/paragraph)
[Specific action or decision requested]

Data Visualization Rules

Do	Don't
Title charts with the insight	Title with the metric name
Use color to highlight the story	Use rainbow colors
Show comparison (before/after, us/them)	Show standalone numbers
Use the simplest chart type	Use 3D pie charts ever
Annotate inflection points	Let the reader guess

References

Related Skills

skills/communication/executive-presentation/SKILL.md — Present data stories
skills/analytics/metrics-dashboard-design/SKILL.md — Dashboard design
skills/analytics/funnel-analysis/SKILL.md — Funnel data to story

External Frameworks

Cole Nussbaumer Knaflic, Storytelling with Data
Barbara Minto, Pyramid Principle (SCR)

Skill type: Interactive Domain: Analytics & Metrics

---name: data-storytelling-advisordescription: Transform raw data and charts into compelling narratives — using the Situation-Complication-Resolution framework to make data actionable and persuasive for stakeholders.---## PurposeTransform raw data into **compelling narratives** that drive decisions — using storytelling frameworks to make data actionable and persuasive instead of just informational.---## Application### Turn 1: The Data**Agent asks:** "What data do you have and who's the audience?"- What metrics/data are you presenting?- Who's the audience? (Exec / Team / Board / External)- What decision should this data inform?### Turn 2: Find the Story**Agent asks:** "Let me help find the narrative in this data."```markdown## Situation-Complication-Resolution Framework### Situation (Context)"Here's where we are..."[Current state — set the baseline]### Complication (Tension)"But here's what's changing/threatening/surprising..."[The trend, gap, or anomaly that creates tension]### Resolution (Recommendation)"So here's what we should do..."[The action the data supports]```### Turn 3: Build the Narrative```markdown## Data Story: [Title — headline, not label]### The Headline[One sentence: the insight, not the metric]- ❌ "Q3 Churn Rate: 8.2%"- ✅ "We're losing $180K/mo to preventable churn — here's how to fix it"### The Context (1 slide/paragraph)[Baseline + what we expected]### The Insight (1-2 slides/paragraphs)[What the data shows + why it matters][Visualizations that support the insight]### The "So What" (1 slide/paragraph)[What this means for the business/user]### The Ask (1 slide/paragraph)[Specific action or decision requested]```### Data Visualization Rules| Do | Don't ||----|-------|| Title charts with the insight | Title with the metric name || Use color to highlight the story | Use rainbow colors || Show comparison (before/after, us/them) | Show standalone numbers || Use the simplest chart type | Use 3D pie charts ever || Annotate inflection points | Let the reader guess |---## References### Related Skills- `skills/communication/executive-presentation/SKILL.md` — Present data stories- `skills/analytics/metrics-dashboard-design/SKILL.md` — Dashboard design- `skills/analytics/funnel-analysis/SKILL.md` — Funnel data to story### External Frameworks- Cole Nussbaumer Knaflic, *Storytelling with Data*- Barbara Minto, Pyramid Principle (SCR)---**Skill type:** Interactive**Domain:** Analytics & Metrics

Frequently asked questions

Data Storytelling Advisor