Use this skill when package structure, plugins, or dependency configuration are likely contributing to slow Xcode builds.
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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionspm-build-analysisExecute the skills CLI command in your project's root directory to begin installation:
Fetches spm-build-analysis from avdlee/xcode-build-optimization-agent-skill and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate spm-build-analysis. Access via /spm-build-analysis in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
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Use this skill when package structure, plugins, or dependency configuration are likely contributing to slow Xcode builds.
Package.swift and Package.resolvedBefore including any local package in a recommendation, verify that it is actually part of the project's dependency graph. A Vendor/ directory may contain packages that are not linked to any target.
project.pbxproj for XCLocalSwiftPackageReference entries that reference the package path.XCSwiftPackageProductDependency entries to confirm the package's product is linked to at least one target.When recommending version pins for branch-tracked dependencies:
python3 scripts/check_spm_pins.py --project App.xcodeproj
This checks git ls-remote --tags for each branch-pinned package and reports which have tags available for pinning.@_exported import that create hidden dependency chainsswift-syntax building universally (all architectures) when no prebuilt binary is available, adding significant clean-build overheadSwiftCompile, SwiftEmitModule, and ScanDependencies tasksMigrating a dependency from a monolithic target to a modular multi-target SDK (e.g., replacing one umbrella library with separate Core, RUM, Logs, Trace modules) does not automatically reduce build time. Modular targets increase the number of SwiftCompile, SwiftEmitModule, and ScanDependencies tasks because each target must be compiled, scanned, and emit its module independently. The build-time trade-off depends on the project's parallelism headroom and how many of the modular targets are actually needed.
When considering a modular SDK migration:
SwiftCompile task count before and after.When the same module appears multiple times in timing output, investigate whether different package or target options are forcing extra module variants. Uniform options often matter more than shaving a small amount of source code.
For each finding, include:
If the main problem is not package-related, hand off to xcode-project-analyzer or xcode-compilation-analyzer by reading the target skill's SKILL.md and applying its workflow to the same project context.
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
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spm-build-analysis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
spm-build-analysis has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in spm-build-analysis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Useful defaults in spm-build-analysis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend spm-build-analysis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added spm-build-analysis from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in spm-build-analysis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Keeps context tight: spm-build-analysis is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: spm-build-analysis is focused, and the summary matches what you get after install.
We added spm-build-analysis from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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