analyzing-dotnet-performance
SolidScans .NET code for ~50 performance anti-patterns across async, memory, strings, collections, LINQ, regex, serialization, and I/O with tiered severity classification. Use when analyzing .NET code for optimization opportunities, reviewing hot paths, or auditing allocation-heavy patterns.
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Quality Score: 93/100
Skill Content
Details
- Author
- dotnet
- Repository
- dotnet/skills
- Created
- 4 months ago
- Last Updated
- today
- Language
- C#
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
dotnet-trace-collect
Guide developers through capturing diagnostic artifacts to diagnose production .NET performance issues. Use when the user needs help choosing diagnostic tools, collecting performance data, or understanding tool trade-offs across different environments (Windows/Linux, .NET Framework/modern .NET, container/non-container).
tenet-performance
Audits performance risks: N+1 queries, sync I/O, indexes, leaks, bundles, and rerenders.
test-anti-patterns
Quick pragmatic review of .NET test code for anti-patterns that undermine reliability and diagnostic value. Use when asked to review tests, find test problems, check test quality, or audit tests for common mistakes. Catches assertion gaps, flakiness indicators, over-mocking, naming issues, and structural problems with actionable fixes. Use for periodic test code reviews and PR feedback. For a deep formal audit based on academic test smell taxonomy, use exp-test-smell-detection instead. Works with MSTest, xUnit, NUnit, and TUnit.