spm-build-analysis

Analyze Swift Package Manager dependency graphs and build configurations for Xcode performance bottlenecks.

Updated Jun 2, 2026

Search Tags:#performance #swift #xcode #spm #build-optimization #dependency-analysis

Ready to run

npx skills add https://github.com/PicoMLX/SwiftSQLite --skill spm-build-analysis-picomlx

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: spm-build-analysis
Source: https://github.com/PicoMLX/SwiftSQLite/tree/main/.agents/skills/spm-build-analysis
Command: npx skills add https://github.com/PicoMLX/SwiftSQLite --skill spm-build-analysis-picomlx

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill addresses slow Xcode build performance caused by inefficient Swift Package Manager (SPM) configurations, dependency graph bloat, and redundant module compilation.

Core Features & Use Cases

Dependency Graph Auditing: Identifies circular dependencies, oversized modules, and unnecessary transitive imports that trigger cascading rebuilds.
Build Overhead Analysis: Detects configuration drift, multi-platform build multiplication, and excessive Swift macro usage that slows down clean and incremental builds.
Use Case: When a developer notices that a minor code change triggers a near-full project rebuild, this skill analyzes the package graph and build logs to pinpoint the specific module or macro causing the invalidation.

Quick Start

Use the spm-build-analysis skill to scan the current project directory for dependency bottlenecks and provide optimization recommendations.

Frequently Asked Questions about spm-build-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

Why does my Xcode project trigger a near-full rebuild after a minor Swift code change?▼

A minor code change triggering a near-full rebuild in Xcode is typically caused by inefficient SPM dependency graphs, circular dependencies, or redundant module compilation that forces cascading invalidations across your Swift packages.

How do I analyze my Swift Package Manager dependencies to find build bottlenecks?▼

To analyze Swift Package Manager dependencies for build bottlenecks, scan the project directory and evaluate the package structure, identify oversized modules, and detect unnecessary transitive imports that slow down clean and incremental builds.

What causes slow incremental build times in Xcode projects using SPM?▼

Slow incremental build times in Xcode are caused by configuration drift, multi-platform build multiplication, excessive Swift macro usage, and module variant duplication that force the compiler to reprocess unaffected dependency targets.

Do I need build timing summaries to optimize Swift package configurations?▼

Yes, you need build timing summaries and access to the project.pbxproj file to perform evidence-based optimization assessments and accurately identify performance bottlenecks within SPM dependency graphs and build configurations.

What is the best way to reduce redundant module compilation in Swift?▼

The best way to reduce redundant module compilation in Swift is auditing the SPM dependency graph to identify multi-platform build multiplication, module variant duplication, and excessive macro overhead that degrade clean build speeds.

Does SPM build optimization work without modifying the project.pbxproj file?▼

No, SPM build optimization requires access to the project.pbxproj file and build timing summaries to evaluate package structure, detect configuration drift, and perform evidence-based dependency graph assessments.