Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
64
47%
Does it follow best practices?
Impact
94%
1.06xAverage score across 3 eval scenarios
Passed
No known issues
Optimize this skill with Tessl
npx tessl skill review --optimize ./tests/ext_conformance/artifacts/agents-wshobson/business-analytics/skills/data-storytelling/SKILL.mdOne-page dashboard story
Insight-first headline
75%
62%
Key metrics section present
100%
100%
What's working section
100%
100%
What needs attention section
100%
100%
Root cause section
100%
100%
Recommendation section
100%
100%
Next period focus section
100%
100%
Key insight front-loaded
100%
100%
Data curation not data dump
87%
100%
Clear next steps
100%
100%
Rule of three used
0%
25%
Non-jargon audience language
71%
57%
Structure notes file
100%
100%
Problem-solution narrative arc
Hook present
37%
62%
Context/baseline section
100%
100%
Weighted scoring matrix
100%
100%
Key insight section
100%
100%
Unambiguous recommendation
100%
100%
Specific budget ask
100%
100%
Call to action present
100%
100%
Narrative transition phrases
87%
75%
Uncertainty with ranges
100%
100%
Context before methodology
100%
100%
Narrative log file
85%
100%
Insight front-loaded
100%
100%
Setup-conflict-resolution arc
100%
100%
Annotated chart visualization story
Uses matplotlib
100%
100%
annotate() used
100%
100%
axvspan() used
100%
100%
axhline() used
100%
100%
Narrative chart title
100%
100%
Multiple key events annotated
100%
100%
PNG images saved to disk
100%
100%
Data embedded in script
100%
100%
Highlight growth period
100%
100%
Legend included
100%
100%
Chart design notes file
100%
100%
Before/after or contrast element
100%
100%
arrowprops in annotation
100%
100%
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Table of Contents
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