Automates comprehensive Pytest execution and systematic debugging workflows for Python applications.
The Pytest Runner & Debugger skill provides a structured 5-phase workflow for testing and error resolution using the Foundry MCP server. It enables developers to execute various test suites—including quick, unit, and integration tests—while providing a systematic framework for categorizing failures and forming debugging hypotheses. By integrating external AI consultation and leveraging specialized subagents for context gathering, this skill ensures that complex bugs are diagnosed accurately and verified through rigorous regression testing.
Key Features
01Regression testing and verification strategies to ensure code stability
02Hypothesis-driven failure categorization for rapid error diagnosis
03Systematic 5-phase investigation workflow for efficient debugging
040 GitHub stars
05External AI tool integration for consulting advanced models on complex failures
06Automated Pytest execution with presets for quick, unit, and integration runs
Use Cases
01Automating fail-fast test cycles during active feature development
02Debugging complex test failures that require external AI reasoning
03Investigating flaky tests and shared state issues using specialized subagents
