mcaf-ml-ai-delivery
MCAF: ML/AI Delivery
Trigger On
- the repo contains model training, inference, experimentation, or data-science workflow
- ML work needs explicit process, testing, or responsible-AI guidance
- delivery discussion is mixing product, data, and model concerns
Value
- produce a concrete project delta: code, docs, config, tests, CI, or review artifact
- reduce ambiguity through explicit planning, verification, and final validation skills
- leave reusable project context so future tasks are faster and safer
Do Not Use For
- generic software delivery with no ML or data-science component
- loading all ML references when only one stage is active
More from managedcode/dotnet-skills
dotnet
Primary router skill for broad .NET work. Classify the repo by app model and cross-cutting concern first, then switch to the narrowest matching .NET skill instead of staying at a generic layer.
18dotnet-aspnet-core
Build, debug, modernize, or review ASP.NET Core applications with correct hosting, middleware, security, configuration, logging, and deployment patterns on current .NET.
13dotnet-entity-framework-core
Design, tune, or review EF Core data access with proper modeling, migrations, query translation, performance, and lifetime management for modern .NET applications.
12dotnet-code-review
Review .NET changes for bugs, regressions, architectural drift, missing tests, incorrect async or disposal behavior, and platform-specific pitfalls before you approve or merge them.
11dotnet-architecture
Design or review .NET solution architecture across modular monoliths, clean architecture, vertical slices, microservices, DDD, CQRS, and cloud-native boundaries without over-engineering.
11dotnet-signalr
Implement or review SignalR hubs, streaming, reconnection, transport, and real-time delivery patterns in ASP.NET Core applications.
10