xcode-build-benchmark▌
avdlee/xcode-build-optimization-agent-skill · updated Apr 8, 2026
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Use this skill to produce a repeatable Xcode build baseline before anyone tries to optimize build times.
Xcode Build Benchmark
Use this skill to produce a repeatable Xcode build baseline before anyone tries to optimize build times.
Core Rules
- Measure before recommending changes.
- Capture clean and incremental builds separately.
- Keep the command, destination, configuration, scheme, and warm-up rules consistent across runs.
- Write a timestamped JSON artifact to
.build-benchmark/. - Do not change project files as part of benchmarking.
Inputs To Collect
Confirm or infer:
- workspace or project path
- scheme
- configuration
- destination
- whether the user wants simulator or device numbers
- whether a custom
DerivedDatapath is needed
If the project has both clean-build and incremental-build pain, benchmark both. That is the default.
Worktree Considerations
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.
Default Workflow
- Normalize the build command and note every flag that affects caching or module reuse.
- Run one warm-up build if needed to validate that the command succeeds.
- Run 3 clean builds.
- If
COMPILATION_CACHE_ENABLE_CACHING = YESis 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-cleanto skip. - Run 3 zero-change builds (build immediately after a successful build with no edits). This measures the fixed overhead floor: dependency computation, project description transfer, build description creation, script phases, codesigning, and validation. A zero-change build that takes more than a few seconds indicates avoidable per-build overhead. Use the default
benchmark_builds.pyinvocation (no--touch-fileflag). - Optionally run 3 incremental builds with a file touch to measure a real edit-rebuild loop. Use
--touch-file path/to/SomeFile.swiftto touch a representative source file before each build. - Save the raw results and summary into
.build-benchmark/. - Report medians and spread, not just the single fastest run.
Preferred Command Path
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.
Required Output
Return:
- clean build median, min, max
- cached clean build median, min, max (when COMPILATION_CACHE_ENABLE_CACHING is enabled)
- zero-change build median, min, max (fixed overhead floor)
- incremental build median, min, max (if
--touch-filewas used) - biggest timing-summary categories
- environment details that could affect comparisons
- path to the saved artifact
If results are noisy, say so and recommend rerunning under calmer conditions.
When To Stop
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-orchestratorfor full orchestration
Additional Resources
- For the benchmark contract, see references/benchmarking-workflow.md
- For the shared artifact format, see references/benchmark-artifacts.md
- For the JSON schema, see schemas/build-benchmark.schema.json
How to use xcode-build-benchmark on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add xcode-build-benchmark
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches xcode-build-benchmark from GitHub repository avdlee/xcode-build-optimization-agent-skill and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate xcode-build-benchmark. Access the skill through slash commands (e.g., /xcode-build-benchmark) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★62 reviews- ★★★★★Charlotte Anderson· Dec 28, 2024
xcode-build-benchmark reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Hassan Sethi· Dec 12, 2024
Keeps context tight: xcode-build-benchmark is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Olivia Dixit· Dec 12, 2024
xcode-build-benchmark has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Pratham Ware· Dec 8, 2024
Keeps context tight: xcode-build-benchmark is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Sakshi Patil· Nov 27, 2024
Registry listing for xcode-build-benchmark matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Liam Iyer· Nov 19, 2024
xcode-build-benchmark is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Tariq Verma· Nov 3, 2024
Registry listing for xcode-build-benchmark matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Min Ramirez· Nov 3, 2024
Useful defaults in xcode-build-benchmark — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Tariq Menon· Oct 22, 2024
xcode-build-benchmark reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Valentina Bansal· Oct 22, 2024
I recommend xcode-build-benchmark for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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