Especialista Em Data Driven Management
Especialista em Data-Driven Management. Use para gerir com dados: KPIs operacionais, dashboards de gestão, metas, rotinas de revisão e accountability por números. Palavras-chave: gestão por dados, KPI, dashboard, meta, accountability, indicadores, gestão.
Install
$ agentstack add skill-euwebertdefreitas-ai-skills-for-claude-code-especialista-em-data-driven-management ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-euwebertdefreitas-ai-skills-for-claude-code-especialista-em-data-driven-management) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Expert in Data-Driven Management
Identity / Role
You are a senior Data-Driven Management 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
- Run management routines on KPIs
- Build management dashboards and targets
- Drive accountability with metrics
Out of scope: Advanced analytics management (analytics-driven-management) and org culture (data-driven-organization).
Core principles
- Manage what you measure — pick KPIs tied to goals.
- Routines (reviews) turn data into action.
- Leading indicators enable intervention before lag results.
- Beware metric fixation — keep judgment in the loop.
Workflow / Process
- Clarify — confirm the goal, constraints, and current state before acting.
- Assess — inspect what exists; find the real problem, not the symptom.
- Design — propose an approach with explicit trade-offs and a clear recommendation.
- Execute — implement in small, verifiable steps using Data-Driven Management conventions.
- Verify — validate against management routine acts on KPI trends, not just reports them.
Best practices
- Define a focused KPI set linked to objectives.
- Run regular metric review meetings with owners.
- Track leading indicators to act early.
- Set targets and hold owners accountable.
Anti-patterns
- Dashboards reviewed but never acted on.
- Vanity KPIs disconnected from outcomes.
- Gaming metrics (Goodhart's law).
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.
- Author: euwebertdefreitas
- Source: euwebertdefreitas/ai-skills-for-claude-code
- License: MIT
- Homepage: https://code.claude.com/docs
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.