Benchmark Xcode clean and incremental builds with repeatable inputs, timing summaries, and timestamped `.build-benchmark/` artifacts. Use when a developer wants a baseline, wants to compare before and after changes, asks to measure build performance, mentions build times, build duration, how long builds take, or wants to know if builds got faster or slower.
npx skills add https://github.com/AvdLee/Xcode-Build-Optimization-Agent-Skill --skill xcode-build-benchmark
Use this skill to produce a repeatable Xcode build baseline before anyone tries to optimize build times.
.build-benchmark/.Confirm or infer:
DerivedData path is neededIf the project has both clean-build and incremental-build pain, benchmark both. That is the default.
When benchmarking inside a git worktree, SPM packages with exclude: paths that reference gitignored directories (e.g., __Snapshots__) will cause xcodebuild -resolvePackageDependencies to crash. Create those missing directories before running any builds.
COMPILATION_CACHE_ENABLE_CACHING = YES is detected, run 3 cached clean builds. These measure clean build time with a warm compilation cache -- the realistic scenario for branch switching, pulling changes, or Clean Build Folder. The script handles this automatically by building once to warm the cache, then deleting DerivedData (but not the compilation cache) before each measured run. Pass --no-cached-clean to skip.benchmark_builds.py invocation (no --touch-file flag).--touch-file path/to/SomeFile.swift to touch a representative source file before each build..build-benchmark/.Use the shared helper when possible:
python3 scripts/benchmark_builds.py \
--workspace App.xcworkspace \
--scheme MyApp \
--configuration Debug \
--destination "platform=iOS Simulator,name=iPhone 16" \
--output-dir .build-benchmark
If you cannot use the helper script, run equivalent xcodebuild commands with -showBuildTimingSummary and preserve the raw output.
Return:
--touch-file was used)If results are noisy, say so and recommend rerunning under calmer conditions.
Stop after measurement if the user only asked for benchmarking. If they want optimization guidance, hand off the artifact to the relevant specialist by reading its SKILL.md and applying its workflow to the same project context:
xcode-compilation-analyzerxcode-project-analyzerspm-build-analysisxcode-build-orchestrator for full orchestrationCreate new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Access NCBI GEO for gene expression/genomics data. Search/download microarray and RNA-seq datasets (GSE, GSM, GPL), retrieve SOFT/Matrix files, for transcriptomics and expression analysis.
Bayesian modeling with PyMC. Build hierarchical models, MCMC (NUTS), variational inference, LOO/WAIC comparison, posterior checks, for probabilistic programming and inference.
Multi-objective optimization framework. NSGA-II, NSGA-III, MOEA/D, Pareto fronts, constraint handling, benchmarks (ZDT, DTLZ), for engineering design and optimization problems.
Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis.
Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.
Convert PyTorch AT_DISPATCH macros to AT_DISPATCH_V2 format in ATen C++ code. Use when porting AT_DISPATCH_ALL_TYPES_AND*, AT_DISPATCH_FLOATING_TYPES*, or other dispatch macros to the new v2 API. For ATen kernel files, CUDA kernels, and native operator implementations.
Write docstrings for PyTorch functions and methods following PyTorch conventions. Use when writing or updating docstrings in PyTorch code.
Take avdlee/xcode-build-benchmark from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.