Skills data-storytelling
📦

data-storytelling

Content revision r2 Safe ⚙️ External commands🌐 Network access

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.

Supports: Claude Codex Code(CC)
🥉 78 Bronze

Install with my Agent

Copy this request to your Agent. It includes the canonical Skill page and manifest.

Agent request
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.

Markdown detail GET /skills/sickn33-data-storytelling.md Signed manifest GET /api/skills/sickn33-data-storytelling/manifest Signed lockfile GET /api/skills/sickn33-data-storytelling/lockfile

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

Safe
v5 • 7/23/2026 Open versioned report

All 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.

1
Files scanned
474
Lines analyzed
0
Review items
0
False positives ignored

Risk Factors

⚙️ External commands (28)
SKILL.md:23 SKILL.md:38-44 SKILL.md:44-48 SKILL.md:48-55 SKILL.md:55-69 SKILL.md:69-111 SKILL.md:111-115 SKILL.md:115-150 SKILL.md:150-154 SKILL.md:154-204 SKILL.md:204-210 SKILL.md:210-218 SKILL.md:218-222 SKILL.md:222-242 SKILL.md:242-246 SKILL.md:246-275 SKILL.md:275-281 SKILL.md:281-304 SKILL.md:304-308 SKILL.md:308-341 SKILL.md:341-345 SKILL.md:345-389 SKILL.md:389-395 SKILL.md:395-407 SKILL.md:407-411 SKILL.md:411-429 SKILL.md:429-433 SKILL.md:433-444
🌐 Network access (3)
SKILL.md:466 SKILL.md:467 SKILL.md:468
No confirmed security findings were detected by the latest completed static and semantic audit. This does not prove the skill has no side effects.
Audited by: codex View Audit History →
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Open versioned report
Security Assessment

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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/5

BibTeX 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 variants

Each author remains a separate installable skill. The recommended variant is ranked by Skillstore evidence.

Why this variant is first

Highest Skillstore Score
wshobson Recommended

wshobson-data-storytelling

Skillstore Score 79
Evidence Confidence High
Skillstore usage 25
Updated

2026-08-21

sickn33 Current

sickn33-data-storytelling

Skillstore Score 78
Evidence Confidence High
Skillstore usage 13
Updated

2026-08-21

Skillstore Score

Why this score Evidence Confidence: High
55
Architecture
85
Maintainability
87
Content
69
Community
83
Spec Compliance

What 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

Summarize One Finding 
Turn this finding into a clear headline, two supporting facts, one implication, and one action: [finding and data]. Audience: [audience].
Build a Data Story 
Create a problem-solution data story from [data]. Include context, the main insight, supporting evidence, limitations, recommendations, and a specific call to action.
Design an Executive Slide Flow 
Design a seven-slide executive narrative for [decision]. For each slide, provide the headline, evidence, suggested visual, implication, and transition.
Compare Strategic Options 
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.

Frequently Asked Questions

What inputs produce the best result?
Provide the audience, decision, source metrics, time period, definitions, relevant benchmarks, constraints, and known limitations.
Can this skill create charts?
It can recommend chart types, sequencing, annotations, and highlighting. It does not automatically produce finished chart files.
Does it validate the analysis?
No. Confirm calculations, definitions, statistical methods, and source quality before using the narrative.
Can it adapt a story for executives?
Yes. Specify the decision, available time, business priorities, and required level of detail.
How does it handle uncertainty?
It can present confidence, ranges, sample size, assumptions, caveats, and alternative interpretations when those inputs are available.
Can it write a full presentation?
It can draft the slide flow, headlines, evidence, implications, recommendations, and final request. Presentation design and factual review remain separate.

Developer Details

Author

sickn33

License

MIT

Skillstore revision

r2

Version notice

The author did not declare a version.

Repository

https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/data-storytelling

Ref

f9e2c34b4f19c7f3e6b0a1e93227b5f77cc12526

Maintenance freshness

7/26/2026

Usage

11 downloads · 107 views

File structure

📄 SKILL.md

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