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wshobson/agents/plugins/business-analytics/skills/data-storytelling/SKILL.md

data-storytelling

Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.

Source repository stars
38,313
Declared platforms
0
Static risk flags
1
Last source update
2026-07-22
Source checked
2026-07-28
DecisionCompatibilityInstallWorkflowPermissionsEvidenceSource

Decision brief

What it does—and where it fits

Transform raw data into compelling narratives that drive decisions and inspire action.

Best for

  • Presenting analytics to executives
  • Creating quarterly business reviews
  • Building investor presentations

Not for

  • Tasks that require unconfirmed production actions or broad system permissions.
  • Environments where the pinned source and install steps cannot be inspected.

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexNot declaredNo explicit evidencePortability before use
Claude CodeNot declaredNo explicit evidencePortability before use
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource
npx skills add https://github.com/wshobson/agents --skill "plugins/business-analytics/skills/data-storytelling"
Safe inspection promptEditorial

Inspect the Agent Skill "data-storytelling" from https://github.com/wshobson/agents/blob/c4b82b0ad771190355eb8e204b1329732a18449a/plugins/business-analytics/skills/data-storytelling/SKILL.md at commit c4b82b0ad771190355eb8e204b1329732a18449a. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

Workflow

What the source asks the agent to do

  1. 01

    When to Use This Skill

    Presenting analytics to executives

    Presenting analytics to executivesCreating quarterly business reviewsBuilding investor presentations
  2. 02

    Core Concepts

    Review the “Core Concepts” section in the pinned source before continuing.

    Review and apply the “Core Concepts” source section.
  3. 03

    1. Story Structure

    Review the “1. Story Structure” section in the pinned source before continuing.

    Review and apply the “1. Story Structure” source section.
  4. 04

    2. Narrative Arc

    Review the “2. Narrative Arc” section in the pinned source before continuing.

    Review and apply the “2. Narrative Arc” source section.

Permission review

Static risk signals and limitations

Reads files

low · line 47

The documentation asks the agent to read local files, directories, or repositories.

Detailed pattern documentation lives in `references/details.md`. Read that file when the navigation tier above is insufficient.

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score75/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars38,313SourceRepository attention, not individual Skill quality
Compatibility0 platformsSourceDeclared in the catalog source record
Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
wshobson/agents
Skill path
plugins/business-analytics/skills/data-storytelling/SKILL.md
Commit
c4b82b0ad771190355eb8e204b1329732a18449a
License
MIT
Collected
2026-07-28
Default branch
main
View the original SKILL.md

Data Storytelling

Transform raw data into compelling narratives that drive decisions and inspire action.

When to Use This Skill

  • Presenting analytics to executives
  • Creating quarterly business reviews
  • Building investor presentations
  • Writing data-driven reports
  • Communicating insights to non-technical audiences
  • Making recommendations based on data

Core Concepts

1. Story Structure

Setup → Conflict → Resolution

Setup: Context and baseline
Conflict: The problem or opportunity
Resolution: Insights and recommendations

2. Narrative Arc

1. Hook: Grab attention with surprising insight
2. Context: Establish the baseline
3. Rising Action: Build through data points
4. Climax: The key insight
5. Resolution: Recommendations
6. Call to Action: Next steps

3. Three Pillars

PillarPurposeComponents
DataEvidenceNumbers, trends, comparisons
NarrativeMeaningContext, causation, implications
VisualsClarityCharts, diagrams, highlights

Detailed patterns and worked examples

Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.

Best Practices

Do's

  • Start with the "so what" - Lead with insight
  • Use the rule of three - Three points, three comparisons
  • Show, don't tell - Let data speak
  • Make it personal - Connect to audience goals
  • End with action - Clear next steps

Don'ts

  • Don't data dump - Curate ruthlessly
  • Don't bury the insight - Front-load key findings
  • Don't use jargon - Match audience vocabulary
  • Don't show methodology first - Context, then method
  • Don't forget the narrative - Numbers need meaning

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