lmiranda
4ba38eb620
Updated: - projman: 4 commands + 4 skills + integration snippet - git-flow: 4 commands + 3 skills + integration snippet - pr-review: 1 command cross-reference - cmdb-assistant: 1 command + 1 skill - data-platform: 8 commands + integration snippet - viz-platform: 11 commands + integration snippet - contract-validator: 1 command + 1 skill + 1 agent Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
1.1 KiB
1.1 KiB
/data-setup - Data Platform Setup Wizard
Skills to Load
- skills/setup-workflow.md
- skills/visual-header.md
Visual Output
Display header: DATA-PLATFORM - Setup Wizard
Usage
/data-setup
Workflow
Execute skills/setup-workflow.md phases in order:
Phase 1: Environment Validation
- Check Python 3.10+ installed
- Stop if version too old
Phase 2: MCP Server Setup
- Locate MCP server (installed or source path)
- Check/create virtual environment
- Install dependencies if needed
Phase 3: PostgreSQL Configuration (Optional)
- Ask user if they want PostgreSQL access
- If yes: create
~/.config/claude/postgres.env - Test connection and report status
Phase 4: dbt Configuration (Optional)
- Ask user if they use dbt
- If yes: explain auto-detection via
dbt_project.yml - Check dbt CLI installation
Phase 5: Validation
- Verify MCP server can be imported
- Display summary with component status
- Inform user to restart session
Important Notes
- Uses Bash, Read, Write, AskUserQuestion tools (NOT MCP tools)
- MCP tools unavailable until session restart
- PostgreSQL and dbt are optional - pandas works without them