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spm-build-analysisspm 构建分析

Agent Skill

spm-build-analysis 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

44,064

周安装

1,813

GitHub Stars

983

下载量

14,112
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:spm-build-analysis(spm 构建分析)
来源仓库:https://github.com/avdlee/xcode-build-optimization-agent-skill
仓库路径:skills/spm-build-analysis
安装命令:
npx skills add https://github.com/avdlee/xcode-build-optimization-agent-skill --skill spm-build-analysis
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/avdlee/xcode-build-optimization-agent-skill --skill spm-build-analysis

简介

spm-build-analysis 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中快速定位目标内容。

  • 适用于基于关键词或任务场景的信息检索与筛选需求。
  • 通过 npx skills add 命令从 GitHub 仓库安装并调用。
  • 建议确认权限范围和维护状态,避免不必要的联网或文件访问。
  • 可结合原始文档进一步验证功能细节和使用方式。

SKILL.md

SPM Build Analysis

Use this skill when package structure, plugins, or dependency configuration are likely contributing to slow Xcode builds.

Core Rules

  • Treat package analysis as evidence gathering first, not a mandate to replace dependencies.
  • Separate package-graph issues from project-setting issues.
  • Do not rewrite package manifests or dependency sources without explicit approval.

What To 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

Verification Before Recommending

Before 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.

  • Check project.pbxproj for XCLocalSwiftPackageReference entries that reference the package path.
  • Check XCSwiftPackageProductDependency entries to confirm the package's product is linked to at least one target.
  • If a local package exists on disk but is not referenced in the project, do not include it in build-time recommendations.

When recommending version pins for branch-tracked dependencies:

  • Use the helper script to scan all branch-pinned dependencies at once: 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.
  • If no tags exist, recommend pinning to a specific commit revision hash for determinism instead.
  • Note which packages are branch-pinned because the upstream simply has no tags, versus packages that have tags but are intentionally tracking a branch.

Focus Areas

  • package graph shape and how much work changes trigger downstream
  • plugin overhead during local development and CI
  • checkout or fetch cost signals that show up in clean environments
  • configuration drift that forces duplicate module builds
  • risks from package targets that use different macros or options while sharing dependencies
  • dependency direction violations (features depending on each other instead of shared lower layers)
  • circular dependencies between modules (extract shared contracts into a protocol module)
  • oversized modules (200+ files) that widen incremental rebuild scope
  • umbrella modules using @_exported import that create hidden dependency chains
  • missing interface/implementation separation that blocks build parallelism
  • test targets depending on the app target instead of the module under test
  • Swift macro rebuild cascading: heavy use of Swift macros (e.g., TCA, swift-syntax-based libraries) can cause a trivial source change to cascade into near-full rebuilds because macro expansion invalidates downstream modules
  • swift-syntax building universally (all architectures) when no prebuilt binary is available, adding significant clean-build overhead
  • multi-platform build multiplication: adding a secondary platform target (e.g., watchOS) can cause shared SPM packages to build multiple times (e.g., iOS arm64, iOS x86_64, watchOS arm64), multiplying SwiftCompile, SwiftEmitModule, and ScanDependencies tasks

Modular SDK Migration Caveat

Migrating 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:

  • Compare the total SwiftCompile task count before and after.
  • Benchmark both configurations before recommending the migration for build speed.
  • If the motivation is API surface reduction (importing only what you use), note that build time may stay flat or increase while import hygiene improves.
  • Only recommend modular SDK migration for build speed when the project currently compiles large portions of the monolithic SDK that it does not use, and the modular alternative lets it skip those unused portions entirely.

Explicit Module Dependency Angle

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.

Reporting Format

For each finding, include:

  • evidence
  • affected package or plugin
  • likely clean-build vs incremental-build impact
  • CI impact if relevant
  • estimated impact
  • approval requirement

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.

Additional Resources

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.43%
按下载量换算5,000

Claude

33.69%
按下载量换算4,754

Cursor

18.92%
按下载量换算2,670

Gemini CLI

9.47%
按下载量换算1,336

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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