Rx.NET and ReactiveUI skills for composable observable pipelines, concurrency, lifetimes, MVVM state, commands, bindings, and deterministic testing.
2 on GitHubby NetFabricv0.1.1MITupdated 6 days ago
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Plugin dotnet-rx from marketplace intelligentium in NetFabric/intelligentium. Commands read from the repo's manifest — 6 days ago.
What it installs
Skills (2)
dotnet-rx
Design, implement, debug, review, and test Reactive Extensions for .NET (Rx.NET) pipelines with System.Reactive. USE FOR: IObservable<T>/IObserver<T>; Observable creation and adapters; LINQ-style operator selection; hot/cold/connectable streams; Subjects; Publish/Replay/RefCount/AutoConnect; schedul
reactiveui
Design, implement, migrate, debug, review, and test ReactiveUI 24+ applications. USE FOR: ReactiveObject; WhenAnyValue; ObservableAsPropertyHelper/ToProperty; ReactiveCommand; WhenActivated; Bind/OneWayBind/BindCommand; Interaction; routing and view location; RxAppBuilder; source generators; Reactiv
Skills for authoring AGENTS.md project-context files, SKILL.md agent skills, GitHub Copilot CLI custom agents, Claude Code custom subagents, compact and executable agent-facing Markdown, graph-pattern multi-agent squads/swarms, choosing which AI model an agent should use, building apps with the GitHub Copilot SDK, automating Copilot CLI in GitHub Actions, converting data to/from TOON (Token-Oriented Object Notation) to cut LLM token usage, authoring Mermaid diagrams in markdown files, following general Markdown formatting best practices, searching files and code with ripgrep, producing and consuming Open Knowledge Format bundles, creating polished Python terminal interfaces and skill scripts with Textual and Rich, and finding, querying, and troubleshooting logs, transcripts, and OpenTelemetry traces from coding-agent harnesses.
C# and .NET skills for modern language best practices, generic math over System.Numerics, SIMD vectorization, enumerable/LINQ iteration performance, System.Threading.Channels producer-consumer pipelines, BenchmarkDotNet benchmarking, solution/project setup (Directory.Build.props, central package management, SourceLink), file-based apps (dotnet run file.cs, colon directives), and deterministic guardrails for AI code agents (analyzers, hooks, Aspire, testing).
Statically analyze a local JS/Electron app you're authorized to study, with file+line evidence, and build an original reimplementation of what you find. Experimental. Phase 1: JS/Electron static analysis. Phase 2: native ELF/PE/Mach-O container inspection. Phase 3: .NET assembly metadata. Phase 4: EVM bytecode inventory. Phase 5: CUDA fatbin, cubin and PTX inventory. Parses, never executes. Dynamic analysis is a future phase, not yet implemented.
Migrate, modernize, and upgrade codebases to AWS. Transforms .NET Framework to .NET 8/10, mainframe COBOL to Java, VMware VMs to EC2, SQL Server to Aurora, and upgrades Java/Python/Node.js versions and AWS SDKs. AWS Transform - continuous modernization analyzes codebases for tech debt, security issues, and upgrade opportunities, then remediates them.
Skills for building apps with the AG-UI .NET SDK: streaming chat (stateless vs hosted agents), server tools, client tools, human-in-the-loop (approvals & interrupts), shared state, multimodal messages, reasoning traces, protobuf transport, and troubleshooting.
Skills for running, generating, analyzing, and improving .NET tests: test execution, filtering, platform detection, coverage, testability, and MSTest workflows.
24 skills · 10 agents
dotnet/skills 6,085
Maintain dotnet-rx?
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