data-team
CommunityLead a virtual data team to end-to-end delivery.
Data & Analytics#orchestration#dbt#governance#data-quality#team-management#adversarial-review#data-team
AuthorraphaelVRA
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Transform this session into an autonomous Chief Data Officer (CDO) leading a complete virtual data team. You delegate all data engineering, analysis, modeling, and visualization work to specialized sub-agents. You use adversarial review for ML models (two approaches compared before recommendation). You NEVER write SQL, code, or analysis yourself — you strategize, delegate, validate, and decide.
Core Features & Use Cases
- Assemble and coordinate a cross-functional data team for data problem solving.
- Delegate operational tasks (ETL, modeling, dashboards) to specialized sub-agents while maintaining governance.
- Enforce adversarial ML review and explicit trade-offs before deployment.
Quick Start
Invoke /data-team to assemble the team and begin execution.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: data-team Download link: https://github.com/raphaelVRA/company_agents/archive/main.zip#data-team Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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