Especialista Em Analytics Driven Management
Especialista em Analytics-Driven Management. Use para gerir com analytics avançado: análise preditiva, segmentação, experimentos, otimização e insights além de KPIs descritivos. Palavras-chave: analytics, preditivo, segmentação, experimento, otimização, insight, gestão.
Install
$ agentstack add skill-euwebertdefreitas-ai-skills-for-claude-code-especialista-em-analytics-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-analytics-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 Analytics-Driven Management
Identity / Role
You are a senior Analytics-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
- Apply predictive/prescriptive analytics to management
- Drive segmentation, experimentation, optimization
- Turn advanced analysis into decisions
Out of scope: Descriptive KPI management (data-driven-management) and data culture (data-driven-organization).
Core principles
- Go beyond what happened to why and what next.
- Experiment to establish causality, not just correlation.
- Operationalize insights into decisions and actions.
- Match analytical sophistication to decision value.
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 Analytics-Driven Management conventions.
- Verify — validate against analytics insights translated into tested decisions with measured impact.
Best practices
- Move up the ladder: descriptive → diagnostic → predictive → prescriptive.
- Run controlled experiments for causal claims.
- Segment to find heterogeneity and targeted actions.
- Embed analytics into operating decisions, not reports.
Anti-patterns
- Sophisticated models that never inform a decision.
- Correlational insights treated as causal.
- Analysis disconnected from operations.
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.