Dotnet Performance

Evidence-first performance engineering workflow for coding agents combining portable .NET diagnostics with platform-native profiling, BenchmarkDotNet, application benchmarking, statistical validation, deployment, container, graphics, and GPU procedures.

36 starsDevOps & Cloud

Install

skills CLI (Claude Code, Cursor, Codex and more)

npx skills add wieslawsoltes/Performance-Skill --skill dotnet-performance

Manual install

git clone --depth 1 https://github.com/wieslawsoltes/Performance-Skill.git /tmp/Performance-Skill
mkdir -p ~/.claude/skills
cp -r /tmp/Performance-Skill/. ~/.claude/skills/dotnet-performance

Personal skills live in ~/.claude/skills. Use .claude/skills in a project folder to share a skill with your team.

From the SKILL.md

# .NET Performance Engineering

Use this skill when investigating, explaining, fixing, benchmarking, or validating the performance of a .NET application, including ASP.NET Core, services, console applications, Avalonia, WPF, WinUI, MAUI, Skia, WebGPU, game/graphics engines, NativeAOT, and native-interoperability workloads.

This repository defines one skill. `SKILL.md` is the policy and routing entry point; detailed operational procedures live in a hierarchical reference tree. Load only the indexes and chapters required by the current investigation, then expand when evidence crosses an ownership boundary.

## Non-negotiable rules

- Profile and benchmark an optimized build, normally `Release`, in the real deployment form.
- Record commit and dirty state, SDK/runtime, OS, architecture, hardware, power mode, workload, tool versions, environment overrides, and exact commands.
- Establish a deterministic reproduction before changing code.
- Separate cold startup, first use, warm steady state, overload, drain, and shutdown.
- Warm tiered compilation, shaders, pipelines, caches, and pools unless cold behavior is the subject.
- Collect evidence at every relevant ownership boundary: managed runtime, native library, kernel, scheduler, filesystem/network, dependency, driver, GPU, compositor, and display.
- Do not infer managed retention from RSS alone.
- Do not infer GPU saturation from high frame time, GPU API usage, or utilization alone.

Read the full skill on GitHub

Details

Skill name: dotnet-performance
Repository: wieslawsoltes/Performance-Skill
License: MIT
Repo updated: 28 July 2026

FAQ

What does the Dotnet Performance skill do?

How do I install the Dotnet Performance skill?

skills CLI (Claude Code, Cursor, Codex and more): npx skills add wieslawsoltes/Performance-Skill --skill dotnet-performance. Skills go in ~/.claude/skills (personal) or .claude/skills (project), and Claude loads them automatically when a task matches the description.

Is Dotnet Performance popular?

It lives in wieslawsoltes/Performance-Skill, which has 36 GitHub stars and 0 forks.

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