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Agent Skill · 研究检索

build-perf-baseline(构建性能基线)

build-perf-baseline 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

build-perf-baseline 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 19,198。

总安装 5,716周安装 229GitHub Stars 1,537下载 1,850核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:build-perf-baseline(构建性能基线)
来源仓库:https://github.com/dotnet/skills
仓库路径:skills/build-perf-baseline
安装命令:
npx skills add https://github.com/dotnet/skills --skill build-perf-baseline
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/dotnet/skills --skill build-perf-baseline

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于建立构建性能基准,测量冷启动、增量构建和热构建以定位耗时分布。适合在 Codex、Claude、Cursor、Gemini CLI 中系统化优化编译流程和导入链。通过 npx skills add 命令从 GitHub 安装,需结合 binlog 回放和性能日志分析。

注意权限范围和维护状态,避免触发不必要的联网、命令执行或文件写入操作。build-perf-baseline 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/build-perf-baseline

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/dotnet/skills --skill build-perf-baseline;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

build-perf-baseline 怎么安装?

在终端执行 npx skills add https://github.com/dotnet/skills --skill build-perf-baseline。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

build-perf-baseline 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

build-perf-baseline 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

build-perf-baseline 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

build-perf-baseline 用的人多吗?

公开数据是累计安装 5,716 次,近一周安装 229 次,下载 1,850 次,GitHub 1,537 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

build-perf-baseline 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 1,537 星,维护活跃度相对可查。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
build-perf-baseline

构建性能基线 · 本页

5,7161,537只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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.

# 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 build /bl:cold-build.binlog -m

Warm Build (Incremental Build)

Build output exists, some files have changed. Measures how well incremental build works.

# Build once to populate outputs
dotnet build -m

# Make a small change (touch one .cs file)
# Then rebuild
dotnet build /bl:warm-build.binlog -m

No-Op Build (Nothing Changed)

Build output exists, nothing has changed. This should be nearly instant. If it's slow, incremental build is broken.

# Build once to populate outputs
dotnet build -m

# Rebuild immediately without changes
dotnet build /bl:noop-build.binlog -m

What Good Looks Like

ScenarioExpected Behavior
Cold buildFull compilation, all targets run. This is your absolute baseline
Warm buildOnly changed projects recompile. Time proportional to change scope
No-op build< 5 seconds for small repos, < 30 seconds for large repos. All compilation targets should report "Skipping target — all outputs up-to-date"

Red flags:

  • No-op build > 30 seconds → incremental build is broken (see incremental-build skill)
  • Warm build recompiles everything → project dependency chain forces full rebuild
  • Cold build has long restore → NuGet cache issues

Recording Baselines

Record baselines in a structured way before and after optimization:

| Scenario    | Before  | After   | Improvement |
|-------------|---------|---------|-------------|
| Cold build  | 2m 15s  |         |             |
| Warm build  | 1m 40s  |         |             |
| No-op build | 45s     |         |             |

Step 2: MSBuild Server (Persistent Build Process)

The MSBuild server keeps the build process alive between invocations, avoiding JIT compilation and assembly loading overhead on every build.

Enabling MSBuild Server

# Enabled by default in .NET 8+ but can be forced
dotnet build /p:UseSharedCompilation=true

The MSBuild server is started automatically and reused across builds. The compiler server (VBCSCompiler / dotnet build-server) is separate but complementary.

Managing the Build Server

# Check if the server is running
dotnet build-server status

# Shut down all build servers (useful when debugging)
dotnet build-server shutdown

When to Restart the Build Server

Restart after:

  • Updating the.NET SDK
  • Changing MSBuild tooling (custom tasks, props, targets)
  • Debugging build infrastructure issues
  • Seeing stale behavior in repeated builds
dotnet build-server shutdown
dotnet build

Step 3: Artifacts Output Layout

The UseArtifactsOutput feature (introduced in.NET 8) changes the output directory structure to avoid bin/obj clash issues and enable better caching.

Enabling Artifacts Output

<!-- Directory.Build.props -->
<PropertyGroup>
  <UseArtifactsOutput>true</UseArtifactsOutput>
</PropertyGroup>

Before vs After

# Traditional layout (before)
src/
  MyLib/
    bin/Debug/net8.0/MyLib.dll
    obj/Debug/net8.0/...
  MyApp/
    bin/Debug/net8.0/MyApp.dll

# Artifacts layout (after)
artifacts/
  bin/MyLib/debug/MyLib.dll
  bin/MyApp/debug/MyApp.dll
  obj/MyLib/debug/...
  obj/MyApp/debug/...

Benefits

  • No bin/obj clash: Each project+configuration gets a unique path automatically
  • Easier to cache: Single artifacts/ directory to cache/restore in CI
  • Cleaner.gitignore: Just ignore artifacts/
  • Multi-targeting safe: Each TFM gets its own subdirectory

Customizing

<!-- Change the artifacts root -->
<PropertyGroup>
  <ArtifactsPath>$(MSBuildThisFileDirectory)output</ArtifactsPath>
</PropertyGroup>

Step 4: Deterministic Builds

Deterministic builds produce byte-for-byte identical output given the same inputs. This is essential for build caching and reproducibility.

Enabling Deterministic Builds

<!-- Directory.Build.props -->
<PropertyGroup>
  <!-- Enabled by default in .NET SDK projects since SDK 2.0+ -->
  <Deterministic>true</Deterministic>

  <!-- For full reproducibility, also set: -->
  <ContinuousIntegrationBuild Condition="'$(CI)' == 'true'">true</ContinuousIntegrationBuild>
</PropertyGroup>

What Deterministic Affects

  • Removes timestamps from PE headers
  • Uses consistent file paths in PDBs
  • Produces identical output for identical input

Why It Matters for Performance

  • Build caching: If outputs are deterministic, you can cache and reuse them across builds and machines
  • CI optimization: Skip rebuilding unchanged projects by comparing inputs
  • Distributed builds: Safe to cache compilation results in shared storage

Step 5: Dependency Graph Trimming

Reducing unnecessary project references shortens the critical path and reduces what gets built.

Audit the Dependency Graph

# Visualize the dependency graph
dotnet build /bl:graph.binlog

# In the binlog, check project references and build times
# Look for projects that are referenced but could be trimmed

Techniques

Remove Redundant Transitive References
<!-- BAD: Utils is already referenced transitively via Core -->
<ItemGroup>
  <ProjectReference Include="..\Core\Core.csproj" />
  <ProjectReference Include="..\Utils\Utils.csproj" />
</ItemGroup>

<!-- GOOD: Let transitive references flow automatically -->
<ItemGroup>
  <ProjectReference Include="..\Core\Core.csproj" />
</ItemGroup>
Build-Order-Only References

When you need a project to build before yours but don't need its assembly output:

<!-- Only ensures build order, doesn't reference the output assembly -->
<ProjectReference Include="..\CodeGen\CodeGen.csproj"
                  ReferenceOutputAssembly="false" />
Prevent Transitive Flow

When a dependency is an internal implementation detail that shouldn't flow to consumers:

<!-- Don't expose this dependency transitively -->
<ProjectReference Include="..\InternalHelpers\InternalHelpers.csproj"
                  PrivateAssets="all" />
Disable Transitive Project References

For explicit-only dependency management (extreme measure for very large repos):

<PropertyGroup>
  <DisableTransitiveProjectReferences>true</DisableTransitiveProjectReferences>
</PropertyGroup>

Caution: This requires all dependencies to be listed explicitly. Only use in large repos where transitive closure is causing excessive rebuilds.


Step 6: Static Graph Builds (/graph)

Static graph mode evaluates the entire project graph before building, enabling better scheduling and isolation.

Enabling Graph Build

# Single invocation
dotnet build /graph

# With binary log for analysis
dotnet build /graph /bl:graph-build.binlog

Benefits

  • Better parallelism: MSBuild knows the full graph upfront and can schedule optimally
  • Build isolation: Each project builds in isolation (no cross-project state leakage)
  • Caching potential: With isolation, individual project results can be cached

When to Use

ScenarioRecommendation
Large multi-project solution (20+ projects)✅ Try /graph — may see significant parallelism gains
Small solution (< 5 projects)❌ Overhead of graph evaluation outweighs benefits
CI builds✅ Graph builds are more predictable and parallelizable
Local development⚠️ Test both — may or may not help depending on project structure

Troubleshooting Graph Build

Graph build requires that all ProjectReference items are statically determinable (no dynamic references computed in targets). If graph build fails:

error MSB4260: Project reference "..." could not be resolved with static graph.

Fix: Ensure all ProjectReference items are declared in <ItemGroup> outside of targets (not dynamically computed inside <Target> blocks).


Step 7: Parallel Build Tuning

MaxCpuCount

# Use all available cores (default in dotnet build)
dotnet build -m

# Specify explicit core count (useful for CI with shared agents)
dotnet build -m:4

# MSBuild.exe syntax
msbuild /m:8 MySolution.sln

Identifying Parallelism Bottlenecks

In a binlog, look for:

  • Long sequential chains: Projects that must build one after another due to dependencies
  • Uneven load: Some build nodes idle while others are overloaded
  • Single-project bottleneck: One large project on the critical path that blocks everything

Use grep 'Target Performance Summary' -A 30 full.log in binlog analysis to see build node utilization.

Reducing the Critical Path

The critical path is the longest chain of dependent projects. To shorten it:

  1. Break large projects into smaller ones that can build in parallel
  2. Remove unnecessary ProjectReferences (see Step 5)
  3. Use ReferenceOutputAssembly="false" for build-order-only dependencies
  4. Move shared code to a base library that builds first, then parallelize consumers

Step 8: Additional Quick Wins

Separate Restore from Build

# In CI, restore once then build without restore
dotnet restore
dotnet build --no-restore -m
dotnet test --no-build

Skip Unnecessary Targets

# Skip building documentation
dotnet build /p:GenerateDocumentationFile=false

# Skip analyzers during development (not for CI!)
dotnet build /p:RunAnalyzers=false

Use Project-Level Filtering

# Build only the project you're working on (and its dependencies)
dotnet build src/MyApp/MyApp.csproj

# Don't build the entire solution if you only need one project

Binary Log for All Investigations

Always start with a binlog:

dotnet build /bl:perf.binlog -m

Then use the build-perf-diagnostics skill and binlog tools for systematic bottleneck identification.


Optimization Decision Tree

Is your no-op build slow (> 10s per project)?
├── YES → See `incremental-build` skill (fix Inputs/Outputs)
└── NO
    Is your cold build slow?
    ├── YES
    │   Is restore slow?
    │   ├── YES → Optimize NuGet restore (use lock files, configure local cache)
    │   └── NO
    │       Is compilation slow?
    │       ├── YES
    │       │   Are analyzers/generators slow?
    │       │   ├── YES → See `build-perf-diagnostics` skill
    │       │   └── NO → Check parallelism, graph build, critical path (this skill + `build-parallelism`)
    │       └── NO → Check custom targets (binlog analysis via `build-perf-diagnostics`)
    └── NO
        Is your warm build slow?
        ├── YES → Projects rebuilding unnecessarily → check `incremental-build` skill
        └── NO → Build is healthy! Consider graph build or UseArtifactsOutput for further gains

平台分布

Codex

35.65%
按下载量换算660

Claude

28.59%
按下载量换算529

Cursor

18.67%
按下载量换算345

Gemini CLI

9.34%
按下载量换算173

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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