build-perf-baseline
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 static graph builds, artifacts output, and dependency graph trimming.
Install / Use
npx skills add dotnet/skills --skill build-perf-baselineInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of build-perf-baseline
build-perf-baseline scores 87/100 on our quality scale, 860th of 2,398 Development & Engineering skills we index (top 36%).
Its SKILL.md is 11 KB long, well organised into 64 sections with 21 code examples: a thorough specification that gives an agent plenty to work with.
With 5,471 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 2 days ago, so build-perf-baseline is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
build-perf-baseline compared with similar skills
All 4 of these similar skills score higher than build-perf-baseline; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| build-perf-baseline (this skill)by dotnet | 87 | 5.5k | 2d ago | SKILL.md |
| ai-job-searchby MadsLorentzen | 100 | 44.0k | 5d ago | CLAUDE.md |
| claude-howtoby luongnv89 | 100 | 41.7k | today | CLAUDE.md |
| algorithmic-artby anthropics | 100 | 177.9k | 4d ago | SKILL.md |
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Frequently asked questions
- How do I install build-perf-baseline?
- Run
npx skills add dotnet/skills --skill build-perf-baseline. The install tabs above show the steps for each supported agent. - Which AI agents does build-perf-baseline work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is build-perf-baseline safe to use?
- It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is build-perf-baseline still maintained?
- The repository was last updated 2 days ago, so build-perf-baseline is actively maintained.
Skill content
View source on GitHubname: build-perf-baseline description: "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 static graph builds, artifacts output, and dependency graph trimming. Start here before diving into build-perf-diagnostics, incremental-build, or build-parallelism. DO NOT USE FOR: non-MSBuild build systems, detailed bottleneck analysis (use build-perf-diagnostics after baselining)." license: MIT
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 identificationincremental-build— Inputs/Outputs and up-to-date checksbuild-parallelism— parallel and graph build tuningeval-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
| Scenario | Expected Behavior | |----------|------------------| | Cold build | Full compilation, all targets run. This is your absolute baseline | | Warm build | Only 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-buildskill) - 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: 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>$(MSBuildThisFileDirectory)output</ArtifactsPath>
</PropertyGroup>
Step 3: Deterministic Builds
Deterministic builds produce byte-for-byte identical output given the same inputs. This is essential for build caching and reproducibility.
Enabling Deterministic Builds
<!-- Directory.Build.props -->
<PropertyGroup>
<!-- Enabled by default in .NET SDK projects since SDK 2.0+ -->
<Deterministic>true</Deterministic>
<!-- For full reproducibility, also set: -->
<ContinuousIntegrationBuild Condition="'$(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 4: 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 5: 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
| Scenario | Recommendation |
|----------|---------------|
| 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 6: 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:
- Break large projects into smaller ones that can build in parallel
- Remove unnecessary ProjectReferences (see Step 5)
- Use
ReferenceOutputAssembly="false"for build-order-only dependencies - Move shared code to a base library that builds first, then parallelize consumers
Step 7: 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
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From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
