A comprehensive codebase of best practices, coding rules, and workflow automation for AI-assisted development with GitHub Copilot. Includes DDD, Clean Architecture, testing, commit conventions, and more. Reference implementation for modern .NET backend projects.
Use when domain logic leaks into API/Infrastructure, project references violate layer boundaries, or you need to decide between CQS (always), CQRS bus (complex domains), and DDD patterns (invariants and events).
Use when editing code structure with text matching ambiguity, handling "oldstring not unique" problems, or performing formatting-independent pattern matching across function signatures, method calls, and class structures.
Use when listing all methods, functions, or classes in a file, exploring unfamiliar code, getting API overviews, or deciding what to read selectively without loading entire files.
Use when querying JSON files, filtering or transforming JSON data, or extracting specific fields from large JSON files without loading entire file contents (saves 80-95% context).
Use when querying YAML files, filtering or transforming configuration data, or extracting specific fields from large YAML files like docker-compose.yml or GitHub Actions workflows without loading entire files (saves 80-95% context).
Use when viewing source files or documentation with syntax highlighting, previewing files with Git integration, or when enhanced readability would improve code review.
Use before writing any test or implementation task, when observable behavior needs to be captured in business language scenarios and approved by the user before code begins.
Use when running mutation testing, killing mutants, verifying test quality, checking mutation score, or analyzing survivors after the test baseline is green.
Use when writing tests from the outside-in, defining behavior before code, or any feature where tests should start from observable business behavior and let internal design emerge.
Use when building Model Context Protocol (MCP) servers in .NET, configuring tools, transports (SSE/stdio), JSON serialization for AOT, or testing MCP endpoints.
Use when creating OpenAPI mock examples for Microcks, setting up request/response routing with dispatchers, or mapping request fields to mock responses.
Use when converting existing .prompt.md or .instructions.md files to reusable SKILL.md format, before guessing structure or deciding what to keep/remove.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: