python-anti-patterns
Python Anti-Patterns Checklist
A reference checklist of common mistakes and anti-patterns in Python code. Review this before finalizing implementations to catch issues early.
When to Use This Skill
- Reviewing code before merge
- Debugging mysterious issues
- Teaching or learning Python best practices
- Establishing team coding standards
- Refactoring legacy code
Note: This skill focuses on what to avoid. For guidance on positive patterns and architecture, see the python-design-patterns skill.
Infrastructure Anti-Patterns
Scattered Timeout/Retry Logic
More from ericgrill/agents-skills-plugins
debugging-strategies
Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.
10test-driven-development
Use when implementing any feature or bugfix, before writing implementation code
9subagent-driven-development
Use when executing implementation plans with independent tasks in the current session
9systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
9nodejs-backend-patterns
Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices. Use when creating Node.js servers, REST APIs, GraphQL backends, or microservices architectures.
9openapi-spec-generation
Generate and maintain OpenAPI 3.1 specifications from code, design-first specs, and validation patterns. Use when creating API documentation, generating SDKs, or ensuring API contract compliance.
8