Skip to main content الرئيسية المنشئون rudironsoni synaxis dotnet-agent-harness-recommender
dotnet-agent-harness-recommender AI-powered skill recommendation engine for dotnet-agent-harness. Analyzes project context and recommends relevant skills based on detected frameworks, packages, and patterns. Triggers on: recommend skill, suggest skills, what skill should I use, skill suggestion, project analysis recommendation.
الانتقال إلى التثبيت سوق المهارات اكتشف واستكشف مهارات الذكاء الاصطناعي التي بناها المجتمع.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
نسخ Promptعرض تفاصيل Prompt يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/rudironsoni/Synaxis --skill dotnet-agent-harness-recommenderيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
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name dotnet-agent-harness-recommender category developer-experience subcategory cli description AI-powered skill recommendation engine for dotnet-agent-harness. Analyzes project context and recommends relevant skills based on detected frameworks, packages, and patterns. Triggers on: recommend skill, suggest skills, what skill should I use, skill suggestion, project analysis recommendation. targets ["*"] tags ["dotnet","skill","dotnet-agent-harness","recommendation","analysis"] version 0.0.1 author dotnet-agent-harness claudecode {"model":"inherit","allowed-tools":["Read","Grep","Glob","Bash"]} opencode {"allowed-tools":["bash","Read","Grep","Glob"]} copilot {"tools":["read","search","execute"]} codexcli {"short-description":"Recommend the best-fit .NET harness content for the current repository"} geminicli {} antigravity {}
dotnet-agent-harness-recommender
AI-powered skill recommendation engine that analyzes .NET project context and suggests relevant skills.
When to Use
Load this skill when:
Starting work on an unfamiliar project
Discovering what skills are available for a specific technology
Understanding which skills apply to detected frameworks
Getting contextual skill suggestions based on project analysis
Analysis Process
1. Detect Project Context
Analyzes:
Project files : .csproj, .sln, global.json
Package references : NuGet packages and versions
Framework targets : TFM (e.g., net8.0, netstandard2.0)
File patterns : Source organization and conventions
2. Map to Skills
Maps detected technologies to skill tags:
Detected Suggested Skills Microsoft.AspNetCore.* dotnet-minimal-apis, dotnet-api-security, dotnet-middleware-patterns Microsoft.EntityFrameworkCore.* dotnet-efcore-patterns, dotnet-efcore-architecture Microsoft.Maui.* dotnet-maui-development, dotnet-maui-aot Microsoft.NET.Sdk.BlazorWebAssembly dotnet-blazor-components, dotnet-blazor-testing Azure.* dotnet-cloud-specialist, dotnet-resilience xunit, nunit, mstest dotnet-xunit, dotnet-testing-strategy
3. Prioritize Recommendations
Scoring factors:
Direct match : Package name matches skill trigger (100 points)
Category match : Technology category match (50 points)
Version compatibility : Skill supports detected TFM (25 points)
Usage frequency : Popular skills rank higher (10 points)
Commands
Get Recommendations
/dotnet-agent-harness:recommend
dotnet agent-harness recommend --format json
Analyzes current project and outputs:
Recommended Skills (based on project analysis):
1. dotnet-efcore-patterns (95/100)
Detected: Microsoft.EntityFrameworkCore 8.0.0
Why: Core EF patterns for data access layer
2. dotnet-api-security (80/100)
Detected: Microsoft.AspNetCore.Authentication.JwtBearer
Why: JWT auth and API security patterns
3. dotnet-resilience (75/100)
Detected: Polly package
Why: Retry, circuit breaker patterns
Filter by Platform and Category /dotnet-agent-harness:recommend --platform codexcli
/dotnet-agent-harness:recommend --category data
/dotnet-agent-harness:recommend --category testing
/dotnet-agent-harness:recommend --category security
dotnet agent-harness recommend --platform codexcli --category data --format json
Use --platform when you need only artifacts that map cleanly to a specific runtime surface. For example,
--platform codexcli excludes command-only content, while --platform geminicli excludes subagent-only content.
Integration with Hooks Session start hook automatically runs recommendation when:
New .csproj detected in workspace
No previous recommendations exist
Project dependencies changed
See .rulesync/hooks.json for implementation.
Project Pattern Detection
Web API Projects <Project Sdk ="Microsoft.NET.Sdk.Web" >
<PackageReference Include ="Microsoft.AspNetCore.OpenApi" />
</Project >
Triggers: dotnet-minimal-apis, dotnet-api-versioning, dotnet-openapi
Class Library <Project Sdk ="Microsoft.NET.Sdk" >
<TargetFramework > netstandard2.0</TargetFramework >
</Project >
Triggers: dotnet-library-api-compat, dotnet-nuget-authoring
MAUI App <Project Sdk ="Microsoft.NET.Sdk" >
<UseMaui > true</UseMaui >
</Project >
Triggers: dotnet-maui-development, dotnet-maui-aot, dotnet-uno-platform
Blazor WASM <Project Sdk ="Microsoft.NET.Sdk.BlazorWebAssembly" >
<PackageReference Include ="Microsoft.AspNetCore.Components.WebAssembly" />
</Project >
Triggers: dotnet-blazor-components, dotnet-blazor-testing, dotnet-aot-wasm
Console App <Project Sdk ="Microsoft.NET.Sdk" >
<OutputType > Exe</OutputType >
</Project >
Triggers: dotnet-system-commandline, dotnet-cli-architecture
Output Format {
"project_type" : "Web API" ,
"detected_frameworks" : [ "ASP.NET Core 8.0" , "EF Core 8.0" ] ,
"recommendations" : [
{
"skill" : "dotnet-efcore-patterns" ,
"confidence" : 95 ,
"reason" : "Microsoft.EntityFrameworkCore detected" ,
"priority" : "high"
}
] ,
"alternatives" : [
{
"skill" : "dotnet-dapper-patterns" ,
"reason" : "Alternative to EF Core for performance"
}
]
}
Best Practices
Start with top 3 : Focus on highest confidence matches
Check version compatibility : Ensure skill supports your TFM
Review alternatives : Consider alternative approaches
Document choices : Note why specific skills were selected
Local Analysis Only All analysis happens client-side:
No external API calls
No telemetry collection
No skill usage tracking
Results cached locally in .dotnet-agent-harness/recommendations.json
References
[skill:dotnet-project-analysis] -- project context detection
[skill:dotnet-version-detection] -- TFM and SDK detection
[skill:dotnet-agent-harness-manifest] -- skill metadata and tags
Code Navigation (Serena MCP) Primary approach: Use Serena symbol operations for efficient code navigation:
Find definitions : serena_find_symbol instead of text search
Understand structure : serena_get_symbols_overview for file organization
Track references : serena_find_referencing_symbols for impact analysis
Precise edits : serena_replace_symbol_body for clean modifications
When to use Serena vs traditional tools:
Use Serena : Navigation, refactoring, dependency analysis, precise edits
Use Read/Grep : Reading full files, pattern matching, simple text operations
Fallback : If Serena unavailable, traditional tools work fine
# Instead of:
Read: src/Services/OrderService.cs
Grep: "public void ProcessOrder"
# Use:
serena_find_symbol: "OrderService/ProcessOrder"
serena_get_symbols_overview: "src/Services/OrderService.cs"