backend-bugfix

Automate backend bugfix workflows for Python/FastAPI projects with error classification and confidence scoring.

2|Updated Nov 26, 2025
One-click install
npx skills add https://github.com/penkzhou/swiss-army-knife-plugin --skill backend-bugfix
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: backend-bugfix
Source: https://github.com/penkzhou/swiss-army-knife-plugin/tree/main/swiss-army-knife/skills/backend-bugfix
Command: npx skills add https://github.com/penkzhou/swiss-army-knife-plugin --skill backend-bugfix

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Backend bugfix workflows for Python/FastAPI projects that guide error classification, confidence scoring, and TDD remediation practices to stabilize backend systems.

Core Features & Use Cases

  • Error Taxonomy: a structured classification of common backend failures (DB, validation, API, auth, async) with mitigation patterns.
  • Confidence Scoring: a transparent 0-100 scale for evaluating evidence strength and replication.
  • TDD Workflow: RED/ GREEN/ REFACTOR cycle with guidance on testing, refactoring, and documentation.
  • Operational Playbooks: step-by-step remediation recipes for FastAPI, SQLAlchemy, and Pydantic validation errors.

Quick Start

Run the backend bugfix workflow against a failing FastAPI service to diagnose errors and apply fixes following the TDD cycle.

Frequently Asked Questions about backend-bugfix

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I debug database and validation errors in a FastAPI project?

Debug FastAPI errors by applying an error taxonomy to classify database, validation, API, authentication, and async failures, then follow concrete remediation steps to stabilize the backend.

What is the best way to apply TDD workflows to fix Python backend bugs?

Apply TDD for Python backend bugfixes by following the RED, GREEN, REFACTOR cycle, writing failing tests first, applying fixes, and refactoring with guided testing patterns.

How does confidence scoring work in backend bugfix workflows?

Confidence scoring in backend bugfix workflows uses a transparent 0-100 scale to evaluate evidence strength and error replication reliability before applying fixes.

Can I use this bugfix workflow for SQLAlchemy and Pydantic errors?

Yes, you can use this workflow for SQLAlchemy and Pydantic errors because it includes operational playbooks with step-by-step remediation recipes for common database and validation failures.

Does pytest work with this backend bugfix workflow?

Yes, pytest works with this backend bugfix workflow because it integrates TDD best practices and repeatable testing patterns to diagnose and fix Python backend failures.