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build-perf-baseline Skill

AI Agent SkillC#Open source

Establish build performance baselines and apply systematic optimization techniques. USE FOR: diagnosing slow builds, establishing before/after measurements (cold, warm, no-op scenarios), applying optimization strategies like MSBuild Server, static graph builds, artifacts output, and dependency graph trimming. Start her Published by microsoft in testfx.

What is build-perf-baseline Skill?

Establish build performance baselines and apply systematic optimization techniques. USE FOR: diagnosing slow builds, establishing before/after measurements (cold, warm, no-op scenarios), applying optimization strategies like MSBuild Server, static graph builds, artifacts output, and dependency graph trimming. Start her Published by microsoft in testfx. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
75/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Developers using testfx

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use build-perf-baseline Skill

  • Use it for developers using testfx.

Built with

C#Copy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/testfx
  • Skill file: .agents/skills/build-perf-baseline/SKILL.md

What it does

Establish build performance baselines and apply systematic optimization techniques. USE FOR: diagnosing slow builds, establishing before/after measurements (cold, warm, no-op scenarios), applying optimization strategies like MSBuild Server, static graph builds, artifacts output, and dependency graph trimming. Start her

Skill instructions

Build Performance Baseline & Optimization Overview Before optimizing a build, you need a baseline. Without measurements, optimization is guesswork. This skill covers how to establish baselines and apply systematic optimization techniques. Related skills: - build-perf-diagnostics — binlog-based bottleneck identification - incremental-build — Inputs/Outputs and up-to-date checks - build-parallelism — parallel and graph build tuning - eval-performance — glob and import chain optimization --- Step 1: Establish a Performance Baseline Measure three scenarios to understand where time is spent: Cold Build (First Build) No previous build output exists. Measures the full end-to-end time including restore, compilation, and all targets. bash Clean everything first dotnet clean Remove bin/obj to truly start fresh Get-ChildItem -Recurse -Directory -Include bin,obj | Remove-Item -Recurse -Force OR on Linux/macOS: find . -type d ( -name bin -o -name obj ) -exec rm -rf {} + Measure cold build dotnet

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Frequently asked questions

What is build-perf-baseline?

build-perf-baseline is a open-source AI agent skill with Copy skill directory. Establish build performance baselines and apply systematic optimization techniques.

Who is build-perf-baseline best for?

build-perf-baseline is best for reusing agent instructions, scripts, and references.

How do I install build-perf-baseline?

Install or run build-perf-baseline using Copy skill directory. Check build-perf-baseline for the latest setup command.

Is build-perf-baseline actively maintained?

build-perf-baseline may need a closer maintenance check before production use.

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Stars
1,031
Forks
305
Last commit
9 days ago
Repository age
10 years
License
MIT

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