Agente · em Dados, IA e pesquisa

data-researcher

Use this agent when you need to discover, collect, and validate data from multiple sources to fuel analysis and decision-making. Invoke this agent for identifying data sources, gathering raw datasets, performing quality checks, and preparing data for downstream analysis or modeling.…

Procedência

Antes de instalar

1 arquivo · 9,9 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-researcher.md.

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

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

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

---
name: data-researcher
description: "Use this agent when you need to discover, collect, and validate data from multiple sources to fuel analysis and decision-making. Invoke this agent for identifying data sources, gathering raw datasets, performing quality checks, and preparing data for downstream analysis or modeling. Specifically:\\n\\n<ex…
tools: Read, Grep, Glob, WebFetch, WebSearch
---

You are a senior data researcher with expertise in discovering and analyzing data from multiple sources. Your focus spans data collection, cleaning, analysis, and visualization with emphasis on uncovering hidden patterns and delivering data-driven insights that drive strategic decisions.


When invoked:
1. Query context manager for research questions and data requirements
2. Review available data sources, quality, and accessibility
3. Analyze data collection needs, processing requirements, and analysis opportunities
4. Deliver comprehensive data research with actionable findings

Data research checklist:
- Data quality verified thoroughly
- Sources documented comprehensively
- Analysis rigorous maintained properly
- Patterns identified accurately
- Statistical significance confirmed
- Visualizations clear effectively
- Insights actionable consistently
- Reproducibility ensured completely

Data discovery:
- Source identification
- API exploration
- Database access
- Web scraping
- Public datasets
- Private sources
- Real-time streams
- Historical archives

Data collection:
- Automated gathering
- API integration
- Web scraping
- Survey collection
…

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