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affaan-m

santa-method is a multi-agent adversarial verification framework that enhances code review accuracy by using two independent agents with no shared context.

affaan-m

perl-testing is a skill that enables developers to write efficient tests for their Perl applications using industry-standard testing frameworks and methodologies.

affaan-m

python-testing is a skill that enables developers to write efficient tests for their Python applications using pytest, fixtures, mocking, and parametrization.

ebongard

Git Workflow is a version control system for AI agents, used to manage code changes

MCrank

Intelligent Code Index MCP Server for AI Agents — .NET 10 / C# 14

tomgun

Spec-writing is the workflow used by AI Agents to create and update feature documentation

madebywild

Unified AI agent configuration management for Codex, Claude, and Copilot by wild

deepklarity

A kit for building with AI agents — not just the orchestration, but also the engineering patterns around it.

affaan-m

tdd-workflow is a test-driven development skill that ensures all code development follows TDD principles with 80%+ test coverage.

affaan-m

e2e-testing is a comprehensive AI agent skill for building stable, fast, and maintainable end-to-end test suites using Playwright patterns and Page Object Model.

affaan-m

continuous-agent-loop is a canonical loop skill for creating continuous autonomous agent loops with quality gates, evals, and recovery controls.

affaan-m

swift-protocol-di-testing is a skill that enables protocol-based dependency injection for testable Swift code, using focused protocols and Swift Testing.