Quality Run Quality Gates

Quality Run Type Checking combines pyright for rapid development feedback with mypy for comprehensive pre-commit validation. Both tools catch complementary error classes—pyright excels at speed and IDE integration, while mypy provides deeper Pydantic model support and CI/CD authority. Use pyright during coding iterations and mypy before commits.

This skill diagnoses and resolves Python type checking errors by categorizing them into patterns—missing annotations, type mismatches, Optional handling, generics, and attribute issues—then applies targeted fixes. It works with pyright and mypy output, includes automation scripts for batch corrections, and guides you through verification to maintain strict type safety.

Execute ruff-based code quality checks and formatting across Python projects. This skill covers running linting scans, applying safe auto-fixes, and formatting code to match project standards—plus interpreting common violation codes and configuring ruff rules in pyproject.toml.

jat-complete wraps up your active task by running verification checks (tests, lint, type checking), staging and committing your changes with proper formatting, recording context for future agents, and marking the task closed in the system. It handles customer-facing replies when applicable and emits a completion signal to your IDE.

Set testing benchmarks with tiered coverage targets (60–95%+) and quality checklists spanning structure, maintainability, and reliability. Includes anti-patterns, best practices, and assertion levels for LLM-interpreted content to guide test validation across your projects.

Quality Gate Review applies pass/fail criteria at each development stage—from idea to release—ensuring standards compliance and generating audit trails. It defines checklists for gate transitions, verifies acceptance criteria with evidence, and tracks quality metrics including code complexity and defect rates.