data-storytelling
Turn Data Into Decision-Ready Stories
Raw metrics often fail to explain why results matter or what leaders should do next. This skill structures evidence into clear narratives, visuals, and recommendations.
Install with my Agent
Copy this request to your Agent. It includes the canonical Skill page and manifest.
Review the Skillstore skill "data-storytelling" from https://skillstore.io/skills/sickn33-data-storytelling.md and its manifest at https://skillstore.io/api/skills/sickn33-data-storytelling/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Your Agent should still show its plan and request any confirmation required by the security policy.
Agent-readable resources
Use these links when an AI agent, crawler, or script needs clean context instead of reading the full page.
Test it
Using "data-storytelling". Churn is 8.5%, most losses occur within 90 days, and low early engagement predicts cancellation.
Expected outcome:
Early engagement is the main churn opportunity. Prioritize a 14-day onboarding program, track adoption, and report expected impact as a range.
Using "data-storytelling". Q4 revenue grew 15%, but acquisition cost rose 22% while lifetime value increased 8%.
Expected outcome:
Growth improved, but acquisition efficiency weakened. Show revenue and unit economics together, then request a channel reallocation test with defined success measures.
Using "data-storytelling". APAC has faster growth and lower competition, while EMEA has a larger market and greater regulatory complexity.
Expected outcome:
Recommend APAC first, subject to weighted criteria and sensitivity testing. Present market size, growth, competition, operational readiness, and risks side by side.
Security Audit
SafeAll 36 static detections are false positives caused by Markdown code fences, business example language, and ordinary reference links. The skill contains no command execution, automated network requests, prompt injection, or other malicious behavior.
Risk Factors
⚙️ External commands (28)
🌐 Network access (3)
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<a href="https://skillstore.io/skills/sickn33-data-storytelling?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/sickn33-data-storytelling/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Embed card
<iframe src="https://skillstore.io/embed/skills/sickn33-data-storytelling.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Academic citations (APA · BibTeX · CFF)
APA citation
sickn33. (2026). data-storytelling security audit report (audit version 5) [Author version unspecified]. Skillstore. https://skillstore.io/skills/sickn33-data-storytelling/audits/5BibTeX citation
@techreport{sickn33-sickn33-data-storytelling-2026,
author = {sickn33},
title = {data-storytelling security audit report (audit version 5)},
institution = {Skillstore},
year = {2026},
number = {5},
url = {https://skillstore.io/skills/sickn33-data-storytelling/audits/5},
note = {Author version unspecified}
}CITATION.cff
cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "data-storytelling security audit report (audit version 5)"
version: "unspecified"
type: report
authors:
- name: "sickn33"
date-released: "2026-07-23"
url: "https://skillstore.io/skills/sickn33-data-storytelling/audits/5"
identifiers:
- type: other
value: "skillstore:sickn33-data-storytelling:audit:5"
description: "Skillstore immutable audit report identifier"
Compare variants
2 installable variantsEach author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.
Why this variant is first
wshobson-data-storytelling
2026-09-09
sickn33-data-storytelling
2026-09-09
Skillstore Score
Why this score Evidence Confidence: HighWhat You Can Build
Prepare an Executive Review
Turn quarterly metrics into a concise performance narrative with key changes, implications, and a clear decision request.
Explain an Analytics Finding
Present a complex trend to non-technical stakeholders using context, comparisons, caveats, and recommended actions.
Shape an Investor Narrative
Organize growth, market, and risk evidence into a structured presentation with transparent assumptions and next steps.
Try These Prompts
Turn this finding into a clear headline, two supporting facts, one implication, and one action: [finding and data]. Audience: [audience].
Create a problem-solution data story from [data]. Include context, the main insight, supporting evidence, limitations, recommendations, and a specific call to action.
Design a seven-slide executive narrative for [decision]. For each slide, provide the headline, evidence, suggested visual, implication, and transition.
Compare [option A] and [option B] using [criteria and weights]. Build a transparent recommendation, sensitivity analysis, risks, caveats, and implementation steps.
Best Practices
- Lead with the decision-relevant insight, then provide the evidence and context.
- Match detail, terminology, and visualization choices to the audience.
- Separate observed facts, interpretations, assumptions, and recommendations.
Avoid
- Do not present every available metric without a clear narrative purpose.
- Do not imply causation when the evidence only supports correlation.
- Do not hide uncertainty, sample limitations, or alternative explanations.