Best for
- Presenting analytics to executives
- Creating quarterly business reviews
- Building investor presentations
Source profileQuality 75/100
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
- 39,130
- Declared platforms
- 0
- Static risk flags
- 1
- Last source update
- 2026-08-24
- Source checked
- 2026-08-26
Decision brief
What it does: where it fits
Transform raw data into compelling narratives that drive decisions and inspire action.
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
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
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/d82998e7df393c671ede2387a8435075f0b633f5/plugins/business-analytics/skills/data-storytelling/SKILL.md at commit d82998e7df393c671ede2387a8435075f0b633f5. 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
- 01
When to Use This Skill
Presenting analytics to executives
Presenting analytics to executivesCreating quarterly business reviewsBuilding investor presentations - 02
Core Concepts
Review the “Core Concepts” section in the pinned source before continuing.
Review and apply the “Core Concepts” source section. - 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. - 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
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
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 75/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 39,130 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated 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
- d82998e7df393c671ede2387a8435075f0b633f5
- License
- MIT
- Collected
- 2026-08-26
- 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
| Pillar | Purpose | Components |
|---|---|---|
| Data | Evidence | Numbers, trends, comparisons |
| Narrative | Meaning | Context, causation, implications |
| Visuals | Clarity | Charts, 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
Frequently asked questions
What to verify before installation and use
What does the data-storytelling source document cover?
Transform raw data into compelling narratives that drive decisions and inspire action.
How do I install data-storytelling?
The source record exposes this install command: npx skills add https://github.com/wshobson/agents --skill "plugins/business-analytics/skills/data-storytelling". Inspect the command and pinned source before running it.
Which permission-related actions were detected?
Static rules flagged read-files in the source; the page lists the matching lines and excerpts.
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