code-data-analysis-scaffolds

SKILL.md

This skill provides structured scaffolds (frameworks, checklists, templates) for technical work in software engineering and data science. It helps you approach complex tasks systematically by defining what to do, in what order, and what to validate before proceeding.

Code Data Analysis Scaffolds provides structured frameworks for common technical patterns:

Task: "Write authentication function" TDD Scaffold: ```python # Test structure (write these FIRST) def testvalidcredentials(): assert authenticate("user@example.com", "correctpass") == True def testinvalidpassword(): assert authenticate("user@example.com", "wrongpass") == False def testnonexistentuser():

Use when starting technical work requiring structured approach - writing tests before code (TDD), planning data exploration (EDA), designing statistical analysis, clarifying modeling objectives (causal vs predictive), or validating results. Invoke when user mentions "write tests for", "explore this dataset", "analyze", "model", "validate", or when technical work needs systematic scaffolding before execution. Source: lyndonkl/claude.

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