Generate end-to-end Nitro V2 data onboarding pipelines from user prompts.
npx skills add https://github.com/huangcd/gcusage --skill data-onboarding
Please help me install this Agent Skill. Skill: data-onboarding Source: https://github.com/huangcd/gcusage/tree/main/.github/skills/data-onboarding Command: npx skills add https://github.com/huangcd/gcusage --skill data-onboarding
Nitro teams need a streamlined, repeatable way to onboard new data sources into Nitro V2, covering the full lifecycle from data access to outcomes while staying privacy-compliant.
Describe your data source and onboarding goals to begin generating a Nitro V2 onboarding pipeline.
High-intent search queries and answers about installing and using this skill.
To generate a Nitro V2 data onboarding pipeline, you describe your data source and goals to receive interactive, metaconfig-driven scaffolding for DA, AV, CA+AU, and Outcome layers. This produces ready-to-run TypeScript templates with step-by-step prompts.
Ensuring GDPR compliance during data onboarding requires validating privacy requirements and applying automated GDPR tagging. The workflow validates privacy rules and recommends GDPR tags directly within the generated pipeline scaffolding.
Building end-to-end data acquisition and validation pipelines for Nitro V2 involves using an interactive metaconfig to scaffold DA and AV layers. This generates production-ready TypeScript templates with automated testing guidance for validation.
Yes, you can scaffold all layers from data acquisition to outcomes. The interactive workflow supports DA, AV, CA+AU, and Outcome pipelines, providing a complete end-to-end onboarding solution with test workflows.
Yes, the generator provides test workflows for end-to-end validation. It includes automated pipeline scaffolding with testing guidance to ensure your generated TypeScript templates are production-ready and functionally validated.
You need metaconfig-driven workflows for data onboarding to establish a streamlined, repeatable process for onboarding new data sources. This approach ensures full lifecycle coverage from data access to outcomes while maintaining privacy compliance.
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