xlsx-to-python-core-principle-excel-values-test-data
Sub-skill of xlsx-to-python: Core Principle: Excel Values = Test Data.
Best use case
xlsx-to-python-core-principle-excel-values-test-data is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of xlsx-to-python: Core Principle: Excel Values = Test Data.
Teams using xlsx-to-python-core-principle-excel-values-test-data should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/core-principle-excel-values-test-data/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How xlsx-to-python-core-principle-excel-values-test-data Compares
| Feature / Agent | xlsx-to-python-core-principle-excel-values-test-data | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of xlsx-to-python: Core Principle: Excel Values = Test Data.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Core Principle: Excel Values = Test Data ## Core Principle: Excel Values = Test Data When an Excel spreadsheet contains a calculation with input values and computed results, **those cell values are the test cases**. The two-pass extraction strategy: - **Pass 1** (`data_only=True`): read computed cell values — these become `pytest.approx()` assertions - **Pass 2** (`data_only=False`): read formula strings — these become Python function implementations This means every spreadsheet with formulas is simultaneously a specification, an implementation reference, AND a test fixture.
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