Dotnet Skills
Curated .NET skill catalog and CLI for AI coding assistants.
A well-organized, CLI-first skill catalog that brings much-needed .NET precision to AI coding assistants. Ideal for teams wanting to standardize AI-generated code, though it assumes familiarity with both .NET and the supported AI platforms.
- .NET developers using AI coding assistants
- Teams standardizing AI code generation on .NET
- Developers migrating or modernizing .NET applications
- Open-source contributors to .NET skill catalogs
- Non-.NET developers
- Users who do not use any supported AI coding platform
- Teams wanting a cloud-hosted or SaaS skill marketplace
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In short
Dotnet Skills — Curated .NET skill catalog and CLI for AI coding assistants. Best for .NET developers using AI coding assistants, Teams standardizing AI code generation on .NET, Developers migrating or modernizing .NET applications. Free to use.
Viability Score
How likely is Dotnet Skills to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- 184 installable skills covering major .NET frameworks
- 26 routing agents for multi-skill orchestration
- 13 bundles for one-command grouped installs
- 23 collections for taxonomy browsing
- CLI tool with interactive control center
- Auto-detect NuGet packages from .csproj files
- 389,362 skill tokens total in catalog-v2026.7.5.0
- MIT-licensed open-source catalog
- Supports Claude Code, GitHub Copilot, Gemini, Codex, Junie
- Structured SKILL.md with routing, workflow, deliverables, validation
- Package manifest.json for metadata and links
- Upstream-watch automation for official .NET releases
- Vendir-managed upstream packages from dotnet/skills
- Contribution-friendly with GitHub pull requests
- Versioned releases (catalog-v2026.7.5.0)
About Dotnet Skills
dotnet-skills is an open-source, MIT-licensed catalog of structured .NET skills and routing agents for AI coding platforms like Claude Code, GitHub Copilot, Gemini, Codex, and Junie. It packages real .NET development knowledge—covering frameworks such as ASP.NET Core, Blazor, Entity Framework Core, .NET Aspire, and Azure Functions—into modular skill files that can be installed via a dotnet tool CLI. The catalog is organized into 184 skills across 13 bundles and 23 collections. Collections let you browse the taxonomy and compare related skills, while bundles provide one-command grouped installs for common scenarios like quality or testing. The CLI also supports auto-detection of NuGet packages from project files, making setup frictionless. Version catalog-v2026.7.5.0 includes 389,362 skill tokens across 26 agents. What sets dotnet-skills apart is its focus on structured .NET expertise rather than a generic skill marketplace. It uses a clear package metadata format (manifest.json) alongside SKILL.md files that focus on routing, workflows, and validation. The catalog is updated through a unified release workflow that monitors upstream .NET documentation and releases, ensuring skills track current .NET guidance. For .NET developers and teams who want AI coding assistants to produce more accurate, framework-aware code, dotnet-skills injects curated, versioned .NET context directly into the assistant's session. It is not a cloud-hosted marketplace but a local-first, CLI-driven tool for those who value precision and control.
Behind the Verdict
Dotnet-skills fills a real gap: AI coding assistants are famously weak on .NET specifics, often suggesting outdated patterns or wrong API calls. This catalog solves that by injecting curated, versioned .NET knowledge directly into the assistant's context. The CLI-first approach is both a strength and a niche. If you're already using a dotnet tool workflow, installation is trivial—a single global tool install and then 'dotnet skills' launches an interactive control center. The 'install --auto' scan of .csproj files is particularly clever, matching NuGet packages to relevant skills. Where it bites: non-.NET developers need not apply. You also need to be using one of the supported AI platforms—Claude Code, Copilot, Gemini, Codex, or Junie. There's no cloud-hosted option or Saas; it's local-only. Teams wanting collaborative curation or real-time sharing will need to lean on GitHub PR workflows. Compared to general-purpose prompt libraries or custom instructions, dotnet-skills is far more structured. Each skill has a manifest.json and SKILL.md with explicit routing, workflow steps, and validation criteria. This makes the output more predictable and testable. In practice, we'd recommend this for teams committing to .NET on modern AI coding assistants. The bundles (e.g., 'quality' installs 10 skills for code quality tooling) are a quick win. For solo developers exploring a single framework, the install-by-skill approach works fine too. One caveat: the catalog is evolving. With 184 skills and 23 collections, there's good coverage of major frameworks, but niche areas may still be thin. Community contributions via PRs are encouraged and straightforward (MIT licensed). Bottom line: if you're a .NET developer who relies on AI coding help, installing dotnet-skills should be
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Use Cases
- Install a Blazor skill bundle to get accurate component design patterns in GitHub Copilot
- Auto-detect NuGet packages from your project and install matching skills with one command
- Use the interactive control center to browse collections and compare skills before installing
- Deploy a .NET Aspire orchestration agent to route multi-skill context for cloud-native development
- Contribute a new skill for your favorite .NET library by submitting a pull request to the catalog
- Count skill tokens to understand the context cost of each skill before adding it to your assistant
Limitations
- The catalog requires users to install the dotnet tool CLI and have a supported AI coding assistant (Claude Code, GitHub Copilot, Gemini, Codex, or Junie).
- Skills are static text files; no real-time updates or cloud sync.
- Coverage depends on community and upstream contributions, so some niche .NET libraries may not be represented.
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