Download for MacApple silicon, macOS 14+
Skill

xcode-build-orchestrator

@avdlee Updated 2026-09-14

Orchestrate Xcode build optimization by benchmarking first, running the specialist analysis skills, prioritizing findings, requesting explicit approval, delegating approved fixes to xcode-build-fixer, and re-benchmarking after changes. Use when a developer wants an end-to-end build optimization workflow, asks to speed up Xcode builds, wants a full build audit, or needs a recommend-first optimization pass covering compilation, project settings, and packages.

agentagent-skillsiosios-developmentskillsxcode

Install

With your agent

Install OMGSkills skill "avdlee/xcode-build-optimization-agent-skill:xcode-build-orchestrator" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.

Manual command

git clone https://github.com/AvdLee/Xcode-Build-Optimization-Agent-Skill /tmp/Xcode-Build-Optimization-Agent-Skill && ln -s /tmp/Xcode-Build-Optimization-Agent-Skill/skills/xcode-build-orchestrator ~/.claude/skills/xcode-build-orchestrator

From README

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.