python-testing
[ Featured ]Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.
Browse and install thousands of AI Agent skills in the Killer-Skills directory. Supports Claude Code, Windsurf, Cursor, and more.
Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
Spring Boot architecture patterns, REST API design, layered services, data access, caching, async processing, and logging. Use for Java Spring Boot backend work.
SwiftUI architecture patterns, state management with @Observable, view composition, navigation, performance optimization, and modern iOS/macOS UI best practices.
Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.
donna-do is a skill that provides deterministic behavior, state machines, artifact management, and meta programming for coding agents, ensuring predictable and reliable execution.
REST API design patterns including resource naming, status codes, pagination, filtering, error responses, versioning, and rate limiting for production APIs.
🐙 Drop-in tools that give AI agents reliable, permission-aware access to external systems.
agentic-mcp is a progressive MCP client with three-layer lazy loading, designed for efficient token usage and optimized AI coding workflows.
agentic-engineering is a skill that enables efficient cash flow management through AI-driven implementation and human-enforced quality controls.
Project management built for AI coding agents — 24 MCP tools, autonomous workflows, state cascades, React dashboard. Self-hosted. One-command setup.
fix is a set of AI agent configurations and automated workflows optimized for Python and ML development, focused on regression test-driven bug fixing.