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Agent Skill · 研究检索

xcode-build-orchestrator(Xcode 构建编排器)

xcode-build-orchestrator 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。

xcode-build-orchestrator 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,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 3,426。

总安装 44,232周安装 1,871GitHub Stars 1,006下载 15,504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:xcode-build-orchestrator(Xcode 构建编排器)
来源仓库:https://github.com/avdlee/xcode-build-optimization-agent-skill
仓库路径:skills/xcode-build-orchestrator
安装命令:
npx skills add https://github.com/avdlee/xcode-build-optimization-agent-skill --skill xcode-build-orchestrator
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 xcode-build-orchestrator

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。

xcode-build-orchestrator 用于查找、检索和筛选相关信息。适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 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。当前功能描述基于仓库公开信息,实际能力以源码和文档为准。

来源仓库内路径:skills/xcode-build-orchestrator

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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

xcode-build-orchestrator 怎么安装?

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

xcode-build-orchestrator 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。

xcode-build-orchestrator 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

xcode-build-orchestrator 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。

xcode-build-orchestrator 用的人多吗?

公开数据是累计安装 44,232 次,近一周安装 1,871 次,下载 15,504 次,GitHub 1,006 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。

xcode-build-orchestrator 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 1,006 星,维护活跃度相对可查。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 只想先试试效果、不希望它改动本地文件的人。

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
xcode-build-orchestrator

Xcode 构建编排器 · 本页

44,2321,006只读未明确通过

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

Xcode Build Orchestrator

Use this skill as the recommend-first entrypoint for end-to-end Xcode build optimization work.

Non-Negotiable Rules

  • Wall-clock build time (how long the developer waits) is the primary success metric. Every recommendation must state its expected impact on the developer's actual wait time.
  • Start in recommendation mode.
  • Benchmark before making changes.
  • Do not modify project files, source files, packages, or scripts without explicit developer approval.
  • Preserve the evidence trail for every recommendation.
  • Re-benchmark after approved changes and report the wall-clock delta.

Two-Phase Workflow

The orchestration is designed as two distinct phases separated by developer review.

Phase 1 -- Analyze (recommend-only)

Run this phase in agent mode because the agent needs to execute builds, run benchmark scripts, write benchmark artifacts, and generate the optimization report. However, treat Phase 1 as recommend-only: do not modify any project files, source files, packages, or build settings. The only files the agent creates during this phase are benchmark artifacts and the optimization plan inside .build-benchmark/.

  1. Collect the build target context: workspace or project, scheme, configuration, destination, and current pain point. When both .xcworkspace and .xcodeproj exist, prefer .xcodeproj unless the workspace contains sub-projects required for the build. Workspaces that reference external projects may fail if those projects are not checked out.
  2. Run xcode-build-benchmark to establish a baseline if no fresh benchmark exists. The benchmark script auto-detects COMPILATION_CACHE_ENABLE_CACHING = YES and includes cached clean builds that measure the realistic developer experience (warm cache). If the build fails to compile, check git log for a recent buildable commit. When working in a worktree, cherry-picking a targeted build fix from a feature branch is acceptable to reach a buildable state. If SPM packages reference gitignored directories in their exclude: paths (e.g., __Snapshots__), create those directories before building -- worktrees do not contain gitignored content and xcodebuild -resolvePackageDependencies will crash otherwise.
  3. Verify the benchmark artifact has non-empty timing_summary_categories. If empty, the timing summary parser may have failed -- re-parse the raw logs or inspect them manually. If COMPILATION_CACHE_ENABLE_CACHING is enabled, also verify the artifact includes cached_clean runs.

- Benchmark confidence check: For each build type (clean, cached clean, incremental), compare the min and max values. If the spread (max - min) exceeds 20% of the median, flag the benchmark as having high variance and recommend running additional repetitions (5+ runs) before drawing conclusions. High variance makes it difficult to distinguish real improvements from noise. After applying changes, only claim an improvement if the post-change median falls outside the baseline's min-max range.

  1. If incremental builds are the primary pain point and Xcode 16.4+ is available, recommend the developer enable Task Backtraces (Scheme Editor > Build tab > Build Debugging > "Task Backtraces"). This reveals why each task re-ran, which is critical for diagnosing unexpected replanning or input invalidation. Include any Task Backtrace evidence in the analysis.
  2. Determine whether compile tasks are likely blocking wall-clock progress or just consuming parallel CPU time. Compare the sum of all timing-summary category seconds against the wall-clock median: if the sum is 2x+ the median, most work is parallelized and compile hotspot fixes are unlikely to reduce wait time. If SwiftCompile, CompileC, SwiftEmitModule, or Planning Swift module dominate the timing summary and appear likely to be on the critical path, run diagnose_compilation.py to capture type-checking hotspots. If they are parallelized, still run diagnostics but label findings as "parallel efficiency improvements" rather than "build time improvements."
  3. Run the specialist analyses that fit the evidence by reading each skill's SKILL.md and applying its workflow:

- xcode-compilation-analyzer - xcode-project-analyzer - spm-build-analysis

  1. Merge findings into a single prioritized improvement plan.
  2. Generate the markdown optimization report using generate_optimization_report.py and save it to .build-benchmark/optimization-plan.md. This report includes the build settings audit, timing analysis, prioritized recommendations, and an approval checklist.
  3. Stop and present the plan to the developer for review.

The developer reviews .build-benchmark/optimization-plan.md, checks the approval boxes for the recommendations they want implemented, and then triggers phase 2.

Phase 2 -- Execute and verify (agent mode)

Run this phase in agent mode after the developer has reviewed and approved recommendations from the plan. Delegate all implementation work to xcode-build-fixer by reading its SKILL.md and applying its workflow.

  1. Read .build-benchmark/optimization-plan.md and identify the approved items from the approval checklist.
  2. Hand off to xcode-build-fixer with the approved plan. The fixer applies each approved change, verifies compilation, and re-benchmarks.
  3. Append verification results to the optimization plan: post-change medians, absolute and percentage deltas, and confidence notes.
  4. Report before and after results, plus any remaining follow-up opportunities.

Prioritization Rules

The goal is to reduce how long the developer waits for builds to finish.

  1. Identify the developer's primary pain (clean build, incremental build, or both) and the measured wall-clock median.
  2. Determine what is likely blocking wall-clock progress:

- If the sum of all timing-summary category seconds is 2x+ the wall-clock median, most work is parallelized. Compile hotspot fixes are unlikely to reduce wait time. - If a single serial category (e.g. PhaseScriptExecution, CompileAssetCatalog, CodeSign) accounts for a large fraction of wall-clock, that is the real bottleneck. - If Planning Swift module or SwiftEmitModule dominates incremental builds, the cause is likely invalidation or module size, not individual file compile speed.

  1. Rank recommendations by likely wall-time savings, not cumulative task reduction.
  2. Source-level compile fixes should not outrank project/graph/configuration fixes unless evidence suggests they are on the critical path.

Prefer changes that are measurable, reversible, and low-risk.

Recommendation Impact Language

Every recommendation presented to the developer must include one of these impact statements:

  • "Expected to reduce your [clean/incremental] build by approximately X seconds."
  • "Reduces parallel compile work but is unlikely to reduce your build wait time because other tasks take equally long."
  • "Impact on wait time is uncertain -- re-benchmark after applying to confirm."
  • "No wait-time improvement expected. The benefit is [deterministic builds / faster branch switching / reduced CI cost]."
  • For COMPILATION_CACHE_ENABLE_CACHING specifically: "Measured 5-14% faster clean builds across tested projects. The benefit compounds in real workflows where the cache persists between builds -- branch switching, pulling changes, and CI with persistent DerivedData."

Never quote cumulative task-time savings as the headline impact. If a change reduces 5 seconds of parallel compile work but another equally long task still runs, the developer's wait time does not change.

Approval Gate

Before implementing anything, present a short approval list that includes:

  • recommendation name
  • expected wait-time impact (using the impact language above)
  • evidence summary
  • affected files or settings
  • whether the change is low, medium, or high risk

Wait for explicit developer approval.

Post-Approval Execution

After approval, delegate to xcode-build-fixer:

  • the fixer implements only the approved items
  • changes are applied atomically and kept scoped
  • any deviations from the original recommendation plan are noted
  • the fixer re-benchmarks with the same benchmark contract

Final Report

Lead with the wall-clock result in plain language, e.g.: "Your clean build now takes 82s (was 86s) -- 4s faster." Then include:

  • baseline clean and incremental wall-clock medians
  • post-change clean and incremental wall-clock medians
  • absolute and percentage wall-clock deltas
  • what changed
  • what was intentionally left unchanged
  • confidence notes if noise prevents a strong conclusion -- if benchmark variance is high (min-to-max spread exceeds 20% of median), say so explicitly rather than presenting noisy numbers as definitive improvements or regressions
  • if cumulative task metrics improved but wall-clock did not, say plainly: "Compiler workload decreased but build wait time did not improve. This is expected when Xcode runs these tasks in parallel with other equally long work."
  • a ready-to-paste community results row and a link to open a PR (see the report template)

Preferred Command Paths

Benchmark

python3 scripts/benchmark_builds.py \
  --project App.xcodeproj \
  --scheme MyApp \
  --configuration Debug \
  --destination "platform=iOS Simulator,name=iPhone 16" \
  --output-dir .build-benchmark

For macOS apps use --destination "platform=macOS". For watchOS use --destination "platform=watchOS Simulator,name=Apple Watch Series 10". For tvOS use --destination "platform=tvOS Simulator,name=Apple TV". Omit --destination to use the scheme's default.

To measure real incremental builds (file-touched rebuild) instead of zero-change builds, add --touch-file path/to/SomeFile.swift.

Compilation Diagnostics

python3 scripts/diagnose_compilation.py \
  --project App.xcodeproj \
  --scheme MyApp \
  --configuration Debug \
  --destination "platform=iOS Simulator,name=iPhone 16" \
  --threshold 100 \
  --output-dir .build-benchmark

Optimization Report

python3 scripts/generate_optimization_report.py \
  --benchmark .build-benchmark/<artifact>.json \
  --project-path App.xcodeproj \
  --diagnostics .build-benchmark/<diagnostics>.json \
  --output .build-benchmark/optimization-plan.md

Additional Resources

平台分布

Codex

36.22%
按下载量换算5,616

Claude

30.63%
按下载量换算4,749

Cursor

19.94%
按下载量换算3,091

Gemini CLI

10.97%
按下载量换算1,701

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。目前只有一个公开来源,建议同时核对源仓库。

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