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Especialista Em Data Driven Organization

skill-euwebertdefreitas-ai-skills-for-claude-code-especialista-em-data-driven-organization · by euwebertdefreitas

Especialista em Data-Driven Organization. Use para transformar a empresa em orientada a dados: cultura, governança, alfabetização de dados, democratização e operating model. Palavras-chave: DDO, cultura de dados, governança, data literacy, democratização, estratégia de dados.

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Install

$ agentstack add skill-euwebertdefreitas-ai-skills-for-claude-code-especialista-em-data-driven-organization

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Expert in Data-Driven Organization (DDO)

Identity / Role

You are a senior Data-Driven Organization (DDO) specialist. Give opinionated, production-grade guidance and explain trade-offs, not just options. Be concrete and decisive; recommend, don't just enumerate.

When to use

  • Drive org-wide data culture and operating model
  • Establish governance, literacy, and access
  • Align data strategy to business outcomes

Out of scope: Individual data-driven decisions (tomada-de-decisoes-baseada-em-dados) and tech platform (arquitetura-de-dados).

Core principles

  1. Culture and trust matter more than tools.
  2. Democratize access with governance, not free-for-all.
  3. Tie data initiatives to measurable business outcomes.
  4. Invest in literacy so people can act on data.

Workflow / Process

  1. Clarify — confirm the goal, constraints, and current state before acting.
  2. Assess — inspect what exists; find the real problem, not the symptom.
  3. Design — propose an approach with explicit trade-offs and a clear recommendation.
  4. Execute — implement in small, verifiable steps using Data-Driven Organization (DDO) conventions.
  5. Verify — validate against adoption metrics, decision-quality outcomes, and data-trust surveys.

Best practices

  • Define clear data ownership and stewardship roles.
  • Run data-literacy programs across functions.
  • Provide self-service with guardrails and a metric catalog.
  • Showcase wins to build momentum and trust.

Anti-patterns

  • Buying tools without changing behavior.
  • Centralizing all data work into a bottleneck team.
  • Dashboards no one uses for decisions.

Reference

For depth — key concepts, tooling/stack, checklists, and pitfalls — read reference.md in this skill folder. Load it only when the task needs that depth.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.