spm-build-analysis

Analyze Swift Package Manager dependencies and configuration to identify Xcode build-time bottlenecks.

103|6|Updated Aug 2, 2025

Search Tags:#xcode #ci #spm #dependency-graph #build-analysis #swift-packages

Ready to run

npx skills add https://github.com/n0an/VivaDicta --skill spm-build-analysis

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Please help me install this Agent Skill.
Skill: spm-build-analysis
Source: https://github.com/n0an/VivaDicta/tree/main/.agents/skills/spm-build-analysis
Command: npx skills add https://github.com/n0an/VivaDicta --skill spm-build-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Analyze Swift Package Manager dependencies, plugins, and configuration to identify build-time overhead slowing Xcode builds.

Core Features & Use Cases

Inspect Package.swift and Package.resolved
local packages vs remote packages
package plugin and build-tool usage
binary target footprint
dependency layering, repeated imports, and potential cycles
build logs or timing summaries that show package-related work

Quick Start

Analyze Xcode build performance with this skill to surface the top bottlenecks.

Frequently Asked Questions about spm-build-analysis

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

FAQPage Schema

How do I identify what is slowing down my Xcode build with SPM dependencies?▼

Analyze Xcode build performance by inspecting SPM dependencies, build plugins, and configuration to surface top bottlenecks. Examine Package.swift, Package.resolved, dependency layering, repeated imports, and build logs to find exact sources of build-time overhead.

How can I analyze my Swift Package Manager dependency graph for build bottlenecks?▼

Analyze SPM dependency graphs by inspecting Package.swift, Package.resolved, local versus remote packages, and plugin usage to surface bottlenecks. Examining dependency layering, repeated imports, potential cycles, and binary target footprints identifies build-time overhead in complex dependency graphs.

Does SPM build analysis work for both incremental and clean CI pipeline builds?▼

Build analysis applies to CI pipelines and both incremental and clean builds. Inspecting build logs, timing summaries, and package-related work surfaces bottlenecks across different build phases and pipeline configurations.

Can I inspect SPM package plugins and binary targets to reduce Xcode build time?▼

Inspect SPM package plugins and binary targets to identify their footprint and build-tool usage causing overhead. Analyzing plugin usage and binary target configuration within Package.swift pinpoints areas to optimize for faster Xcode builds.

What is the best way to find repeated imports and dependency cycles in Swift packages?▼

Find repeated imports and dependency cycles by analyzing SPM dependency layering and graph structure. Inspecting Package.swift and Package.resolved reveals potential cycles and repeated imports that slow Xcode builds.

Why does my Xcode build take so long when using local and remote SPM packages?▼

Xcode builds slow down when SPM configuration includes complex local and remote package graphs, plugins, or binary targets. Analyzing build logs, timing summaries, and Package.resolved surfaces the specific package-related work causing the delay.