Official agent skill

Build Perf Baseline

by dotnet in dotnet/skills

Establish MSBuild/.NET build performance baselines before optimizing.

OfficialMITAuto-check passedBackend & APIs

Install Build Perf Baseline

skills CLI
$ npx skills add dotnet/skills --skill build-perf-baseline -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install dotnet/skills build-perf-baseline --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/dotnet/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/dotnet-msbuild/skills/build-perf-baseline .claude/skills/build-perf-baseline && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
build-perf-baseline
GitHub stars
5.6k
Used in
1 other repo
Token cost
~3.6k tokens
SKILL.md length
1,181 words
Files
1
Skills in repo
91
Repo updated
First seen
Licence
MIT

At a glance

Establish MSBuild/.NET build performance baselines before optimizing.

  • Works in 7 steps: Establish a Performance Baseline → Artifacts Output Layout → Deterministic Builds → …
  • Solution that is slow
  • SKILL.md covers Overview, Step 1: Establish a…, Step 2: Artifacts Output Layout and Step 3: Deterministic Builds, plus 3 more sections
  • Calls dotnet

What it does

Build Perf Baseline is an agent skill from dotnet/skills, published by the product's own GitHub organization. Establish MSBuild/.NET build performance baselines before optimizing. USE FOR: a .NET build or solution that is slow or has build-performance concerns; cold, warm, incremental, or no-op measurements; before/after comparisons; CI build output caching; static graph build decisions; artifacts output; and dependency graph trimming. Start here before build-perf-diagnostics, incremental-build, or build-parallelism. DO NOT USE for webpack, npm, JavaScript bundlers, or other non-MSBuild build systems. For detailed…

Its SKILL.md is about 3.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Backend & APIs, covering Caching. It works with .NET, npm, webpack and JavaScript. The repository describes itself as: Repository for skills to assist AI coding agents with .NET and C. The licence is MIT.

When your agent uses it

  • Solution that is slow
  • Has build-performance concerns
  • No-op measurements
  • Before/after comparisons

Example prompts

  • “/build-perf-baseline”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Establish a Performance Baseline
  2. Artifacts Output Layout
  3. Deterministic Builds
  4. Dependency Graph Trimming
  5. Static Graph Builds (/graph)
  6. Parallel Build Tuning
  7. Additional Quick Wins

What it can do on your machine

Read from SKILL.md and the folder at commit a660de8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • dotnet

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Build Perf Baseline loads about 3.6k tokens when it runs. Until then it costs about 155 tokens; SKILL.md has 1,181 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~155
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from dotnet/skills at commit a660de8, republished under its MIT licence (© dotnet). 1,181 words, ~3,621 tokens.

Download SKILL.mdSave it as .claude/skills/build-perf-baseline/SKILL.md (or your agent's skills folder).
name
build-perf-baseline
description
Establish MSBuild/.NET build performance baselines before optimizing. USE FOR: a .NET build or solution that is slow or has build-performance concerns; cold, warm, incremental, or no-op measurements; before/after comparisons; CI build output caching; static graph build decisions; artifacts output; and dependency graph trimming. Start here before build-perf-diagnostics, incremental-build, or build-parallelism. DO NOT USE for webpack, npm, JavaScript bundlers, or other non-MSBuild build systems. For detailed target/task/analyzer bottleneck analysis after baselining, use build-perf-diagnostics.
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 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. Keep the SDK, configuration, machine, environment variables, restore state, and build command consistent. Run each scenario at least three times, repeating its setup before every measured sample, and report the median plus the observed range; a single timing is not a baseline. Keep setup outside the timed interval. Save each sample's binlog under a unique name, outside generated output directories.

Cold Build (First Build)

No previous build output exists. Measures the full end-to-end time including restore, compilation, and all targets.

Before every cold sample, restore the same source state, run dotnet clean with the measured configuration, and remove only the confirmed, disposable output and intermediate directories for the measured projects. Include custom artifact paths, not just bin and obj, and obtain approval before deletion. Verify those outputs are absent before timing the next build.

This is an output-cold build, not necessarily a cold NuGet, OS, or compiler server cache. Choose and record a consistent cache/server policy for all samples; do not clear shared caches. If measuring uncached restore, use a separate, empty package cache for each sample.

shell
# After repeating the cold setup; use a unique log name for each sample
dotnet build /bl:cold-build-1.binlog -m
Warm Build (Incremental Build)

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

Before every warm sample, restore the same baseline source contents and build successfully without timing it. Then apply the same small, build-relevant edit to the same source file and time the build. Keep the changed file set and edit identical across samples; do not let edits accumulate. Restore the baseline contents before the next sample and rebuild them outside the timed interval. Do not clean between that setup build and its measured build.

shell
# Untimed setup after restoring baseline source contents
dotnet build -m

# Apply the same controlled source edit, then measure with a unique log name
dotnet build /bl:warm-build-1.binlog -m
No-Op Build (Nothing Changed)

Build output exists, nothing has changed. Compilation and correctly incremental targets should skip; compare timing with this build's other samples.

Before every no-op sample, restore the same baseline source contents and run an untimed setup build successfully. Then measure an identical build without edits, touching inputs, cleaning outputs, or changing properties. Keep restore and cache/server policy consistent with the other samples.

shell
# Untimed setup after restoring baseline source contents
dotnet build -m

# Rebuild immediately without changes; use a unique log name for each sample
dotnet build /bl:noop-build-1.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 buildCompilation and correctly incremental custom targets skip; compare duration with this repo's repeated warm and cold samples

Red flags:

  • No-op time is repeatedly close to warm/cold time, or compilation targets rerun → investigate incrementality (see incremental-build)
  • Warm build recompiles everything → project dependency chain forces full rebuild
  • Restore dominates cold samples → measure dotnet restore and dotnet build --no-restore separately before changing project structure

Do not use universal duration or percentage thresholds to declare a bottleneck. Rank costs against the controlled samples and the build's own target/task timings.

Capture analyzer evidence

A binlog shows compiler/task timing, but granular analyzer timing requires an analyzer-reporting run. When supported by the SDK/compiler, capture:

shell
dotnet build /bl:analyzers.binlog /p:ReportAnalyzer=true

Open the binlog in MSBuild Structured Log Viewer and inspect the analyzer summary under the compiler task. If granular timing is unavailable, compare otherwise identical samples with /p:RunAnalyzers=false as an attribution experiment; do not present disabling analyzers as the fix. Preserve analyzer enforcement in CI.

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
xml
<!-- 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
xml
<!-- 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
xml
<!-- 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
Show full SKILL.md (473 more words)Show less
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
bash
# 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
xml
<!-- 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:

xml
<!-- 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:

xml
<!-- 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):

xml
<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
bash
# 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 6: Parallel Build Tuning

MaxCpuCount
bash
# 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 7: Additional Quick Wins

Separate Restore from Build
bash
# In CI, restore once then build without restore
dotnet restore
dotnet build --no-restore -m
dotnet test --no-build
Skip Unnecessary Targets
bash
# Skip building documentation
dotnet build /p:GenerateDocumentationFile=false

# Attribution experiment only: compare against the same build with analyzers
dotnet build /p:RunAnalyzers=false

Use these switches to measure contribution before changing configuration. Do not recommend permanently disabling analyzers from this baseline step; route measured analyzer bottlenecks to build-perf-diagnostics and preserve CI enforcement.

Use Project-Level Filtering
bash
# 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:

bash
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 repeated no-op build disproportionately close to warm/cold samples,
or are compile/custom targets rerunning?
├── YES → See `incremental-build` skill (inspect Inputs/Outputs and skip reasons)
└── 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 → Baseline is healthy; adopt graph build or UseArtifactsOutput only for a measured need

© dotnet, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/dotnet-msbuild/skills/build-perf-baseline of dotnet/skills.

Open the folder on GitHubat commit a660de8

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in dotnet/skills, which our catalogue first saw on October 7, 2026.

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Categories

Questions about Build Perf Baseline

What does Build Perf Baseline do?

Establish MSBuild/.NET build performance baselines before optimizing. Build Perf Baseline is an agent skill from dotnet/skills, published by the product's own GitHub organization.NET build performance baselines before optimizing.

When should I use Build Perf Baseline?

Build Perf Baseline fits situations like: solution that is slow; has build-performance concerns; no-op measurements; before/after comparisons.

How do I install Build Perf Baseline in Claude Code?

Run `npx skills add dotnet/skills --skill build-perf-baseline -a claude-code`. Or copy the skill folder (plugins/dotnet-msbuild/skills/build-perf-baseline in dotnet/skills) into .claude/skills/build-perf-baseline in your project. Claude Code loads it when a task matches its description.

How do I install Build Perf Baseline in Codex?

Run `npx skills add dotnet/skills --skill build-perf-baseline -a codex`. Or copy the skill folder (plugins/dotnet-msbuild/skills/build-perf-baseline in dotnet/skills) into .agents/skills/build-perf-baseline in your project. Codex loads it when a task matches its description.

Can I use Build Perf Baseline in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add dotnet/skills --skill build-perf-baseline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/build-perf-baseline, .gemini/skills/build-perf-baseline, .github/skills/build-perf-baseline and .opencode/skills/build-perf-baseline in your project.

What does Build Perf Baseline need to run?

Going by SKILL.md and its folder, Build Perf Baseline needs the command-line tools its instructions call (dotnet).

Does Build Perf Baseline access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Build Perf Baseline safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Build Perf Baseline use?

Build Perf Baseline is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Build Perf Baseline use?

About 3.6k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Build Perf Baseline?

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Who maintains Build Perf Baseline?

dotnet (a GitHub organization, an official publisher) maintains it in dotnet/skills, which has 5,576 GitHub stars. The repository holds 91 skills in this directory. The repository was last updated on October 8, 2026.

Source: dotnet/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.