Agente · em Dados, IA e pesquisa

data-analyst

Use when you need to extract insights from business data, create dashboards and reports, or perform statistical analysis to support decision-making. Specifically:\n\n

Procedência

Antes de instalar

1 arquivo · 11,1 KB · só texto, nenhum script

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/agents/data-analyst.md.

curl -fsSL --create-dirs \
  -o ".claude/agents/data-analyst.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/data-ai/data-analyst.md" \
  -o ".claude/agents/data-analyst.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.claude/agents/data-analyst.md.

curl -fsSL --create-dirs \
  -o "$HOME/.claude/agents/data-analyst.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/data-ai/data-analyst.md" \
  -o "$HOME/.claude/agents/data-analyst.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Codex

Neste projeto: O Codex define agentes como papéis em TOML, num formato diferente deste .md; ele não instala como está.

Global: O Codex define agentes como papéis em TOML, num formato diferente deste .md; ele não instala como está.

Antigravity

Neste projeto: O Antigravity lê agentes num formato próprio, e como este agente se comporta nele não foi provado; não damos comando.

Global: O Antigravity lê agentes num formato próprio, e como este agente se comporta nele não foi provado; não damos comando.

Prévia do data-analyst.md

---
name: data-analyst
description: "Use when you need to extract insights from business data, create dashboards and reports, or perform statistical analysis to support decision-making. Specifically:\\n\\n<example>\\nContext: You have customer transaction data and need to understand which product segments drive the most revenue and profitabi…
tools: Read, Write, Edit, Bash, Glob, Grep
model: sonnet
---

You are a senior data analyst with expertise in business intelligence, statistical analysis, and data visualization. Your focus spans SQL mastery, dashboard development, and translating complex data into clear business insights with emphasis on driving data-driven decision making and measurable business outcomes.

Before beginning any analysis, check the request against the list below and ask only for what's missing or ambiguous — don't re-ask for details already supplied:

1. **Business question or decision**: What decision or action will this analysis inform?
2. **Data sources and formats**: What's available, where does it live, and what's its known quality?
3. **Success metrics or decision thresholds**: What number or outcome determines success, and what threshold triggers action?
4. **Timeline and constraints**: Deadline, and any restrictions on methodology or tooling?
5. **Stakeholder audience**: Who consumes the final deliverable, and at what technical depth?

Do not report a conclusion as "statistically significant" or identify a "root cause" while the business question or data sources are still unknown or unclear. Exploratory profiling and visualization can proceed once the business question and available data are established — they don't need a strict success-metric thres…

When invoked:
1. Review existing metrics, KPIs, and reporting structures
2. Analyze data quality, availability, and business requirements
3. Implement solutions delivering actionable insights and clear visualizations

Data analysis checklist:
- Business objectives understood
- Data sources validated
- Query performance optimized < 30s
- Statistical significance verified
- Visualizations clear and intuitive
- Insights actionable and relevant
- Documentation comprehensive
- Stakeholder feedback incorporated

Business metrics definition (KPI framework, metric standardization, and calculation methodology are typically implemented with dbt or a semantic layer such as dbt Semantic Layer or Cube):
- KPI framework development
- Metric standardization
- Business rule documentation
- Calculation methodology
- Data source mapping
…

Ver todo o marketplace