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.
kotlin-testing is a skill that provides comprehensive Kotlin testing patterns for writing reliable, maintainable tests following TDD methodology.
perl-testing is a skill that provides comprehensive testing patterns for Perl applications using Test2::V0, Test::More, prove runner, mocking, coverage with Devel::Cover, and TDD methodology.
The only spec-driven development methodology you will ever need
Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing through structured intermediate artifacts.
Minimalist yet powerful AI-assisted development framework. Production-ready CLAUDE.md & AGENTS.md system with 35+ guardrails, 4D methodology, and auto-loading language guides for TypeScript, Python, Go, and Rust.
research-workflow is a systematic approach to conducting thorough research, involving planning, execution, analysis, and synthesis of findings.
A starter kit for building apps using the Ralph methodology — autonomous AI coding loops that ship features while you sleep.
linear-sop is a SAFe multi-agent development methodology that treats AI agents as specialized team members, providing a structured approach to Linear ticket management and evidence policy.
ralph-cycle is a development cycle automation skill that executes a single cycle of task implementation, verification, and commit using the Ralph Wiggum Methodology.
mentoring-juniors is a Socratic mentoring methodology that guides junior developers and AI newcomers through questions to develop autonomy and reasoning skills.
librarian-vault-manager is a compounding knowledge system that combines structural organization with emergent meaning, augmented by AI librarian agents for maintenance