dataform-engineering-fundamentals
✓Use when developing BigQuery Dataform transformations, SQLX files, source declarations, or troubleshooting pipelines - enforces TDD workflow (tests first), ALWAYS use ${ref()} never hardcoded table paths, comprehensive columns:{} documentation, safety practices (--schema-suffix dev, --dry-run), proper ref() syntax, .sqlx for new declarations, no schema config in operations/tests, and architecture patterns that prevent technical debt under time pressure
Installation
SKILL.md
Core principle: Safety practices and proper architecture are NEVER optional in Dataform development, regardless of time pressure or business urgency.
REQUIRED FOUNDATION: This skill builds upon superpowers:test-driven-development. All TDD principles from that skill apply to Dataform development. This skill adapts TDD specifically for BigQuery Dataform SQLX files.
Official Documentation: For Dataform syntax, configuration options, and API reference, see https://cloud.google.com/dataform/docs
Use when developing BigQuery Dataform transformations, SQLX files, source declarations, or troubleshooting pipelines - enforces TDD workflow (tests first), ALWAYS use ${ref()} never hardcoded table paths, comprehensive columns:{} documentation, safety practices (--schema-suffix dev, --dry-run), proper ref() syntax, .sqlx for new declarations, no schema config in operations/tests, and architecture patterns that prevent technical debt under time pressure Source: ihistand/claude-skills.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/ihistand/claude-skills --skill dataform-engineering-fundamentals- Source
- ihistand/claude-skills
- Category
- >_Productivity
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is dataform-engineering-fundamentals?
Use when developing BigQuery Dataform transformations, SQLX files, source declarations, or troubleshooting pipelines - enforces TDD workflow (tests first), ALWAYS use ${ref()} never hardcoded table paths, comprehensive columns:{} documentation, safety practices (--schema-suffix dev, --dry-run), proper ref() syntax, .sqlx for new declarations, no schema config in operations/tests, and architecture patterns that prevent technical debt under time pressure Source: ihistand/claude-skills.
How do I install dataform-engineering-fundamentals?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/ihistand/claude-skills --skill dataform-engineering-fundamentals Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/ihistand/claude-skills
Details
- Category
- >_Productivity
- Source
- skills.sh
- First Seen
- 2026-02-01