Local-first desktop control plane for AI agents: embedded Orleans host inside the Uno app, Microsoft Agent Framework for agent/workflow orchestration, and provider adapters for Codex, Claude Code, GitHub Copilot, plus local runtimes.
Set up or refine open-source .NET code-quality gates for CI: formatting, .editorconfig, SDK analyzers, third-party analyzers, coverage, mutation testing, architecture tests, and security scanning. Use when a .NET repo needs an explicit quality stack in AGENTS.md, docs, or pipeline YAML.
Use the open-source free QuickDup clone detector for .NET repositories. Use when a repo needs duplicate C# code discovery, structural clone detection, DRY refactoring candidates, or repeatable duplication scans in local workflows and CI.
Use the open-source free ReportGenerator tool for turning .NET coverage outputs into HTML, Markdown, Cobertura, badges, and merged reports. Use when raw coverage files are not readable enough for CI or human review.
Use the free official JetBrains ReSharper Command Line Tools for .NET repositories. Use when a repo wants powerful jb inspectcode inspections, jb cleanupcode cleanup profiles, solution-level .DotSettings enforcement, or a stronger CLI quality gate for C# than the default SDK analyzers alone.
Use the open-source free Roslynator analyzer packages and optional CLI for .NET. Use when a repo wants broad C# static analysis, auto-fix flows, dead-code detection, optional CLI checks, or extra rules beyond the SDK analyzers.
Use the open-source free Stryker.NET mutation testing tool for .NET. Use when a repo needs to measure whether tests actually catch faults, especially in critical libraries or domains.
Use the open-source free StyleCop.Analyzers package for naming, layout, documentation, and style rules in .NET projects. Use when a repo wants stricter style conventions than the SDK analyzers alone provide.
Write, run, or repair .NET tests that use TUnit. Use when a repo uses TUnit, [Test], [Arguments], source-generated test projects, or Microsoft.Testing.Platform-based execution.
Primary entry skill for C# and .NET tasks. Detect the repo's language version, test runner, quality stack, and architecture rules; route to the right .NET subskills; and run the repo-defined post-change quality pass after any code change. Use when the user asks to implement, debug, review, or refactor .NET code, or…
Create or update a feature spec under docs/Features/ with business rules, user flows, system behaviour, verification, and Definition of Done. Use when the user asks for a feature spec, executable requirements, acceptance criteria, behaviour documentation, or a pre-implementation plan for non-trivial behaviour changes.
Plan a human review for a large AI-generated code drop by reading the target area, tracing the natural user and system flows, identifying the riskiest boundaries, and prioritizing the files a human should inspect first. Use when the codebase is too large to review line-by-line and you need a practical review sequence…
Apply ML/AI project delivery guidance for data exploration, feasibility, experimentation, testing, responsible AI, and operating ML systems. Use when the repo includes model training, inference, data science workflows, or ML-specific delivery planning.
Capture or refine non-functional requirements such as accessibility, reliability, scalability, maintainability, performance, and compliance. Use when a feature or architecture change needs explicit quality attributes and trade-offs.
Design or improve observability for application and delivery flows: logs, metrics, traces, correlation, alerts, and operational diagnostics. Use when a change affects runtime visibility, failure diagnosis, SLOs, or alerting.
Apply baseline engineering security guidance: secrets handling, secure defaults, threat modelling references, and review checkpoints for auth, data flow, pipelines, and external integrations. Use when a change has security impact but does not require a full standalone AppSec engagement.