dotnet / skills

2026-02-03 · Source: Github Trending: All languages · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems · Depth: Intermediate, quick

Summary

The .NET team has released "dotnet/skills," a GitHub repository containing a curated set of core skills and custom agents designed for coding agents. This collection aims to streamline common .NET coding tasks, offering plugins for diverse functionalities. Key plugins include dotnet for general tasks, dotnet-data for Entity Framework, dotnet-diag for performance investigations, dotnet-msbuild for build optimization, dotnet-nuget for package management, and dotnet-upgrade for project migrations. Specialized skills also cover dotnet-maui development, dotnet-ai for AI/ML integration, dotnet-template-engine for scaffolding, dotnet-test for test management, and dotnet-aspnet for web development. The repository also features a dashboard tracking accuracy and efficiency scoring trends for these plugins, adhering to the agentskills.io standard.

Key takeaway

For .NET developers and AI engineers integrating agentic workflows, explore the dotnet/skills repository to accelerate development. You can quickly install pre-built plugins for tasks like .NET data access, performance diagnostics, or AI/ML integration, saving significant development time. Leverage these curated skills within tools like Copilot CLI, Claude Code, VS Code, or Cursor to enhance your coding agents' capabilities and automate routine .NET tasks efficiently.

Key insights

The dotnet/skills repository centralizes pre-built .NET agent skills and custom agents adhering to the agentskills.io open standard.

Principles

• Agent skills should conform to the agentskills.io open standard for broad compatibility.

Method

Install plugins by adding the "dotnet/skills" marketplace and then installing specific plugins via "/plugin install @dotnet-agent-skills" in Copilot CLI/Claude Code, or configuring settings.json for VS Code.

In practice

• Utilize dotnet-ai for LLM integration and RAG pipelines.
• Use dotnet-upgrade for framework migrations.
• Apply dotnet-diag for performance debugging.

Topics

• .NET Development
• AI Agents
• Agent Skills Standard
• Copilot CLI
• NuGet Package Management
• ML.NET

Code references

• dotnet/skills

Best for: AI Engineer, Software Engineer, Prompt Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Github Trending: All languages.