重要前提
安装AI Skills的关键前提是:必须科学上网,且开启TUN模式,这一点至关重要,直接决定安装能否顺利完成,在此郑重提醒三遍:科学上网,科学上网,科学上网。查看完整安装教程 →
npx skills add https://github.com/dotnet/skills --skill build-parallelism/maxcpucount (或 -m): 工作节点(进程)数量-m-m = 使用所有逻辑处理器performancesummary 将 binlog 重放到诊断日志,并检查"项目性能摘要"——显示每个项目的时间;使用 grep 查找 node.*assigned 以检查调度情况广告位招租
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触达数万 AI 开发者,精准高效
/graphdotnet build /graph 或 msbuild /graph<ProjectReference>(不能使用编程方式的 MSBuild 任务引用)<ProjectReference> —— 每个都会增加依赖链<ProjectReference ... SkipGetTargetFrameworkProperties="true"> 以避免额外的评估<ProjectReference ... ReferenceOutputAssembly="false">解决方案筛选器 (.slnf) 来构建解决方案的子集<MSBuild Projects="@(ProjectsToBuild)" BuildInParallel="true" />BuildInParallel="true",MSBuild 任务会按顺序批量处理项目/maxcpucount > 1 以使此设置生效IMultiThreadableTask 的任务可以在多个线程上运行[MSBuildMultiThreadableTask] 声明线程安全性分步指南:
dotnet msbuild build.binlog -noconlog -fl -flp:v=diag;logfile=full.log;performancesummaryfull.log 末尾的"项目性能摘要"grep 'Target Performance Summary' -A 30 full.log → 查找瓶颈目标-m(许多 CI 运行器具有多核)dotnet build /graph 与结构化的 CI 管道配合良好每周安装量
50
代码仓库
GitHub 星标数
703
首次出现
2026年3月10日
安全审计
安装于
gemini-cli48
github-copilot48
amp48
cline48
codex48
kimi-cli48
/maxcpucount (or -m): number of worker nodes (processes)-m for parallel builds-m without a number = use all logical processorsperformancesummary and check Project Performance Summary — shows per-project time; grep for node.*assigned to check scheduling/graph)dotnet build /graph or msbuild /graph<ProjectReference> (no programmatic MSBuild task references)<ProjectReference> — each adds to the dependency chain<ProjectReference ... SkipGetTargetFrameworkProperties="true"> to avoid extra evaluations<ProjectReference ... ReferenceOutputAssembly="false"> for build-order-only dependenciessolution filters (.slnf) to build subsets of the solution<MSBuild Projects="@(ProjectsToBuild)" BuildInParallel="true" /> in custom targetsBuildInParallel="true", MSBuild task batches projects sequentially/maxcpucount > 1 for this to have effectIMultiThreadableTask can run on multiple threads[MSBuildMultiThreadableTask]Step-by-step:
dotnet msbuild build.binlog -noconlog -fl -flp:v=diag;logfile=full.log;performancesummaryfull.loggrep 'Target Performance Summary' -A 30 full.log → find the bottleneck targets-m in CI (many CI runners have multiple cores)dotnet build /graph works well with structured CI pipelinesWeekly Installs
50
Repository
GitHub Stars
703
First Seen
Mar 10, 2026
Security Audits
Gen Agent Trust HubPassSocketPassSnykPass
Installed on
gemini-cli48
github-copilot48
amp48
cline48
codex48
kimi-cli48
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