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dprakash2101dprakash2101/dotnet-production-agent-skills/skills/performance-diagnostics-dotnet/SKILL.md

performance-diagnostics-dotnet

Skill4 starsChanged 51 days agoMITView on GitHub

Use when investigating or improving measured .NET performance, allocations, garbage collection, thread-pool starvation, latency, or throughput.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use existing profiling tools and representative workloads.

    line 10

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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Files
SKILL.md

Performance Diagnostics Dotnet

Establish the workload, baseline, target, environment and measurement method before changing code. Separate CPU, allocation/GC, contention, thread-pool, database and external dependency hypotheses using evidence.

Use existing profiling tools and representative workloads. Choose bounded diagnostic collection appropriate to the environment; production dump capture may include sensitive data and requires appropriate authorization. Compare like-for-like measurements and account for warmup, variability and collection overhead.

Change the smallest proven bottleneck while preserving behavior. Verify correctness and measure again. Avoid speculative micro-optimizations, premature pooling, or adding complexity unsupported by measured benefit. Report measurements, environment and residual uncertainty.

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