data-storytelling
Craft data stories that drive decisions
Data insights often fail to move stakeholders without a clear narrative. This skill provides frameworks and templates to turn metrics into persuasive stories that inspire action and drive decisions.
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Using "data-storytelling". Summarize our Q4 revenue story with a clear recommendation
Expected outcome:
- Headline: Q4 revenue rose 33 percent after self-serve pricing changes
- Key insight: Self-serve combined with success calls drove 3x higher expansion rate
- Recommendation: Double down on hybrid model and target 1.8M MRR by Q2
Using "data-storytelling". Our customer churn increased to 8.5 percent
Expected outcome:
- Headline: Losing 2.4M annually to preventable churn
- Root cause: 73 percent of churners left within first 90 days
- Solution: Implement 14-day onboarding sequence to reduce early churn by 40 percent
Using "data-storytelling". Create a comparison between our two product lines
Expected outcome:
- Product A: Higher margin at 65 percent but slower growth at 5 percent annually
- Product B: Lower margin at 40 percent but faster growth at 25 percent annually
- Recommendation: Invest in Product B for market share while maintaining Product A for profitability
Security Audit
SafePure markdown documentation skill containing only narrative frameworks, templates, and writing techniques. No executable code, file access, network activity, or system permissions present. The static analyzer misidentified markdown syntax (backticks, code blocks) as code execution patterns. All 48 flagged findings are false positives caused by the analyzer failing to distinguish documentation from executable code.
Risk Factors
🌐 Network access (4)
⚙️ External commands (27)
Quality Score
What You Can Build
Executive update story
Turn quarterly metrics into a concise narrative for leadership presentations
Investor narrative
Frame traction data into a persuasive story for investor updates
Insight report
Structure data reports with clear findings, implications, and actions
Try These Prompts
Use the problem-solution framework to tell a story about churn. Here are the metrics: churn 8.5 percent, industry average 5 percent, 500 customers left last quarter.
Create a trend story for Q4 performance. Include hook, context, key insight, and recommendation. Metrics: MRR grew from 1.2M to 1.6M, trial to paid conversion from 8 to 15 percent.
Build a comparison story for EMEA vs APAC market expansion. Use weighted factors: market size 25, growth rate 30, competition 20, ease of entry 25. Provide a recommendation.
Draft an executive summary slide with key insight, supporting data, business implication, and budget ask. Insight: customers who complete onboarding in week one have 3x higher LTV. Budget request: 75K.
Best Practices
- Lead with the key insight before showing supporting details
- Use visuals and contrasts to highlight patterns and changes
- End every story with a specific action or clear decision request
Avoid
- Listing metrics without a narrative arc or story structure
- Burying the main insight at the end of the presentation
- Using technical jargon without considering audience vocabulary
Frequently Asked Questions
Is it compatible with Claude, Codex, and Claude Code?
What are the limits of this skill?
Can it integrate with my BI tools?
How is my data handled?
What if the story feels generic?
How does this compare to automated slide generators?
Developer Details
Author
wshobsonLicense
MIT
Repository
https://github.com/wshobson/agents/tree/main/plugins/business-analytics/skills/data-storytellingRef
main
File structure
📄 SKILL.md