Python Testing Strategist
- 149 installs
- 2 repo stars
- Updated January 25, 2026
- jorgealves/agent_skills
Design a layered pytest strategy with fixtures, markers, coverage targets, and CI gates for a Python service or library before merge or release.
About
Helps Python teams architect testing strategy: pick frameworks, structure directories, design fixtures and markers, set coverage goals, and wire CI so agents and developers ship reliable pytest suites for APIs, CLIs, and libraries.
- Chooses unit, integration, and contract test boundaries
- Defines pytest fixtures, parametrization, and markers
- Sets coverage thresholds and flaky-test policies
- Aligns CI matrix with supported Python versions
- Documents mocking rules for IO and external APIs
Python Testing Strategist by the numbers
- 149 all-time installs (skills.sh)
- +8 installs in the week ending Aug 2, 2026 (Skillselion tracking)
- Ranked #888 of 2,153 Testing & QA skills by installs in the Skillselion catalog
- Data as of Aug 2, 2026 (Skillselion catalog sync)
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| Installs | 149 |
|---|---|
| repo stars | ★ 2 |
| Last updated | January 25, 2026 |
| Repository | jorgealves/agent_skills ↗ |
What it does
Design a layered pytest strategy with fixtures, markers, coverage targets, and CI gates for a Python service or library before merge or release.
Files
Python Testing Strategist
Purpose and Intent
Design comprehensive Python test suites including unit, integration, and E2E tests. Use when establishing testing patterns for new or existing Python applications.
When to Use
- Project Setup: When initializing a new Python project.
- Continuous Integration: As part of automated build and test pipelines.
- Legacy Refactoring: When updating older Python codebases to modern standards.
When NOT to Use
- Non-Python Projects: This tool is specialized for the Python ecosystem.
Error Conditions and Edge Cases
- Missing Requirements: If the project lacks a requirements.txt or pyproject.toml.
- Incompatible Versions: If the project uses a Python version not supported by the tools.
Security and Data-Handling Considerations
- All analysis is performed locally.
- No source code or credentials are ever transmitted externally.
name: python-testing-strategist
version: 1.0.0
description: Design comprehensive Python test suites including unit, integration, and E2E tests. Use when establishing testing patterns for new or existing Python applications.
inputs:
project_path:
type: string
description: Path to the Python project directory.
required: true
outputs:
report:
type: string
description: A detailed report of the analysis or actions performed.
capabilities:
- Automated analysis of Python project structure.
- Integration with standard Python tooling.
constraints:
- Requires a valid Python environment.
security:
- Operates locally on source files.
examples:
- input:
project_path: "."
output:
report: "Analysis complete. No issues found."
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