القائمة
AI and ML skills for .NET: technology selection, LLM integration, agentic workflows, RAG pipelines, MCP, and classic ML with ML.NET.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Run Weizhena's Deep Research workflow in Autohand Code for outline generation, deep web investigation, structured evidence capture, and final research reports.
Triage and prioritize vulnerabilities using CISA's Stakeholder-Specific Vulnerability Categorization (SSVC) decision tree framework to produce actionable remediation priorities.
Use Aaronontheweb dotnet-skills for Claude Code-oriented .NET maintenance, refactoring, and agent workflows.
Use claude-code-java for reusable Java project agent infrastructure, conventions, testing, and migration workflows.
Use Claude skills for Quarkus to build domain-driven Quarkus applications and Java modernization workflows.
Collection of .NET skills for handling specific .NET tasks for special scenarios.
| name | dotnet-ai |
| description | AI and ML skills for .NET: technology selection, LLM integration, agentic workflows, RAG pipelines, MCP, and classic ML with ML.NET. |
| license | MIT |
| metadata | {"author":"dotnet","version":"1.0.0","source":"https://github.com/dotnet/skills/tree/main/plugins/dotnet-ai"} |
Use this skill for AI and ML work in .NET, including LLM integration, agentic workflows, RAG pipelines, MCP servers or clients, embeddings, and ML.NET systems using dotnet/skills.
Return a .NET AI implementation or plan with architecture, provider assumptions, and verification.
