dotnet-core-expert
dotnet-core-expert is a senior .NET Core specialist with expertise in .NET 8, C# 12, minimal APIs, and cloud-native application development.
Browse and install thousands of AI Agent skills in the Killer-Skills directory. Supports Claude Code, Windsurf, Cursor, and more.
dotnet-core-expert is a senior .NET Core specialist with expertise in .NET 8, C# 12, minimal APIs, and cloud-native application development.
local-dev-workflow is a development process management skill that automates tasks such as build checks, repo structure sync, and Git management to improve developer productivity
bats-testing-patterns is a skill that offers comprehensive guidance for writing unit tests for shell scripts using Bats, including test patterns, fixtures, and best practices.
Subagent-driven development is a methodology that executes plans by dispatching fresh subagents per task, with two-stage reviews for spec compliance and code quality.
agentic-jumpstart-architecture is a skill that offers guidelines for the Jarvy CLI project, including directory structure and native package manager integration
librarian-vault-manager is a compounding knowledge system that combines structural organization with emergent meaning, augmented by AI librarian agents for maintenance
github-issue-workflow is a skill that utilizes the `gh` command to discover, inspect, and manage GitHub issues, following a deterministic and policy-compliant approach.
Implement-feature is a skill that follows the Spec Driven Development workflow, helping developers to understand the codebase and implement new features by reading relevant issues, models, specs, and routes.
Avalonia is a C#-based UI development framework that utilizes records, value types, and procedural patterns to create modern, data-driven applications
da-content-authoring is a skill that enables developers to author and edit content in DA, a web-based content editor for AEM Edge Delivery Services sites.
Book + RAG ChatAgent + SSO + Compunding RI Intelligence built in 2 days. Robolearn is what AI-driven development with Spec-Driven methodology and Reusable Intelligence makes possible.
tdd-wada-style is a test-driven development approach based on t.wada's philosophy, emphasizing testing as a means to detect mistakes, not just prove functionality.