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Agent Skill · 研究检索

spm-build-analysis(spm 构建分析)

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。

spm-build-analysis 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 3,446。

总安装 44,064周安装 1,813GitHub Stars 983下载 14,112核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

来源仓库内路径:skills/spm-build-analysis

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/avdlee/xcode-build-optimization-agent-skill --…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

spm-build-analysis 怎么安装?

在终端执行 npx skills add https://github.com/avdlee/xcode-build-optimization-agent-skill --skill spm-…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

spm-build-analysis 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

spm-build-analysis 需要什么权限?

权限级别是需要联网。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。

spm-build-analysis 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

spm-build-analysis 用的人多吗?

公开数据是累计安装 44,064 次,近一周安装 1,813 次,下载 14,112 次,GitHub 983 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

spm-build-analysis 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
spm-build-analysis

spm 构建分析 · 本页

44,064983需要联网未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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