dotnet-agent-harness-recommender

Analyzes .NET project files and recommends AI skills based on mapped technologies and priorities.

1|Updated Mar 1, 2026
One-click install
npx skills add https://github.com/rudironsoni/SharpClaw --skill dotnet-agent-harness-recommender
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dotnet-agent-harness-recommender
Source: https://github.com/rudironsoni/SharpClaw/tree/main/.github/skills/dotnet-agent-harness-recommender
Command: npx skills add https://github.com/rudironsoni/SharpClaw --skill dotnet-agent-harness-recommender

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps .NET developers quickly discover and select the most relevant AI skills for their project context, reducing the time spent searching for appropriate tools and improving development efficiency.

Core Features & Use Cases

  • Contextual Skill Suggestions: Analyzes project files (.csproj, .sln), package references, and framework targets to recommend skills.
  • Technology Mapping: Maps detected .NET technologies (e.g., ASP.NET Core, EF Core, MAUI) to specific skill tags.
  • Prioritized Recommendations: Ranks suggestions based on direct matches, category relevance, version compatibility, and usage frequency.
  • Use Case: When starting a new .NET project that uses Entity Framework Core, this skill will automatically suggest skills like dotnet-efcore-patterns and dotnet-efcore-architecture.

Quick Start

Ask the agent to recommend skills for the current .NET project.

Frequently Asked Questions about dotnet-agent-harness-recommender

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find relevant AI skills for my .NET project?

To find relevant AI skills for a .NET project, this tool analyzes project files, package references, and framework targets to map detected technologies like ASP.NET Core or EF Core to specific skill tags and recommend matching tools.

How are .NET skill recommendations prioritized based on project context?

.NET skill recommendations are prioritized by ranking suggestions based on direct technology matches, category relevance, version compatibility, and usage frequency detected from your project files and package references.

Can I get skill suggestions for a .NET project using Entity Framework Core?

Yes, you can get skill suggestions for a .NET project using Entity Framework Core. The tool detects EF Core package references and automatically suggests relevant skills like architecture and pattern tools tailored to that framework.

What .NET project files are analyzed to recommend AI skills?

The .NET project files analyzed to recommend AI skills include .csproj and .sln files. The tool examines these files alongside package references and framework targets to determine the appropriate technology mapping.

Does this tool work with .NET MAUI project contexts?

Yes, this tool works with .NET MAUI project contexts. It maps detected .NET technologies including MAUI to specific skill tags, ensuring the recommendations match the framework targets found in your project files.

What is the best way to discover ASP.NET Core development skills?

The best way to discover ASP.NET Core development skills is to analyze your project context automatically. This tool reads your project files and package references to map ASP.NET Core technologies directly to prioritized skill suggestions.