Scaffolds and audits Python data repositories against team-defined engineering standards.
npx skills add https://github.com/ethan-rio/skills --skill set-up-env
Please help me install this Agent Skill. Skill: set-up-env Source: https://github.com/ethan-rio/skills/tree/main/skills/engineering/set-up-env Command: npx skills add https://github.com/ethan-rio/skills --skill set-up-env
Manually configuring repositories to meet strict team engineering standards is tedious, inconsistent, and prone to human error, especially for data and AI projects with specific tooling and structure requirements. This Skill automates the entire process, ensuring every repo is compliant without manual guesswork.
Use the set-up-env skill to scaffold the current working directory to match the AI Services / BNE Data Engineering team standards, asking me which optional components to include before making any changes.
High-intent search queries and answers about installing and using this skill.
To scaffold a Python repository to team standards, use this Skill to generate a fully compliant folder hierarchy, required boilerplate, and mandatory tooling configurations like uv, ruff, and mypy automatically.
Yes, when initializing a new AI project, you can select optional components like dev containers, Docker, CI/CD pipelines, and Jupyter notebooks to include alongside the mandatory core repository structure.
You can audit an existing Python repository for compliance by running this Skill to scan for missing dependencies, incorrect folder structures, and violated data governance policies against your team-defined engineering standards.
Yes, uv is required for dependency management when using this Skill to scaffold your repository, ensuring consistent environment setup and enforcing code quality rules across data engineering workflows.
The best way to enforce consistent infrastructure-as-code and CI/CD pipelines across AWS analytics projects is through automated scaffolding that applies your team-selected optional components during repository initialization.
When onboarding existing repositories to team requirements, this Skill enforces strict ruff and mypy code quality rules to ensure every project passes team audits on the first compliance check.
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