What is the confidence scoring system?

It evaluates evidence quality, pattern matching, and context completeness to decide whether to apply a fix automatically or prompt the user for more information before proceeding.

Does it support FastAPI and SQLAlchemy?

Yes, it includes specialized strategies for fixing Pydantic validation errors and managing SQLAlchemy database transactions safely with try/except/rollback blocks.

Does it include code quality checks?

Yes, the skill enforces quality gates using tools like flake8 for linting, mypy for type checking, and pytest-cov for maintaining high test coverage.

How does this skill help with Pytest failures?

It provides a structured Red-Green-Refactor workflow, identifies specific error types like IntegrityErrors, and suggests the most effective Pytest fixtures to resolve the failure.

Can it help with async/await issues in Python?

Absolutely, it specifically identifies common asynchronous programming errors such as missing await keywords, TimeoutErrors, and concurrency issues.

Backend Bugfix & Testing

Name: Backend Bugfix & Testing
Author: penkzhou

bypenkzhou

•

安全与测试

Resolves backend test failures and debugs Python, FastAPI, and SQLAlchemy errors using a structured TDD workflow.

关于

The Backend Bugfix skill provides a standardized framework for Claude to diagnose and repair server-side issues. It utilizes a comprehensive error classification system covering database integrity, Pydantic validation, API routing, and asynchronous programming. By implementing a confidence-scored workflow and Test-Driven Development (TDD) best practices, this skill ensures that backend fixes are not only correct but also verified through automated testing, linting, and type checking.

主要功能

Pre-configured Pytest patterns for fixtures, async tests, and parametrization
Error classification system for DB, Validation, API, Auth, and Async issues
Quality gate enforcement for coverage, linting (flake8), and typing (mypy)
Confidence scoring system (0-100) to guide automated vs. human-led fixes
1 GitHub stars
Integrated TDD workflow including Red-Green-Refactor phases

使用场景

Debugging complex SQLAlchemy transaction and database integrity errors
Resolving Pydantic schema validation and 422 Unprocessable Entity errors
Fixing failing Pytest suites in FastAPI and Python backend projects

关于

主要功能

Pre-configured Pytest patterns for fixtures, async tests, and parametrization
Error classification system for DB, Validation, API, Auth, and Async issues
Quality gate enforcement for coverage, linting (flake8), and typing (mypy)
Confidence scoring system (0-100) to guide automated vs. human-led fixes
1 GitHub stars
Integrated TDD workflow including Red-Green-Refactor phases

使用场景

Debugging complex SQLAlchemy transaction and database integrity errors
Resolving Pydantic schema validation and 422 Unprocessable Entity errors
Fixing failing Pytest suites in FastAPI and Python backend projects