xcode-build-fixer

avdlee/xcode-build-optimization-agent-skill · updated Apr 8, 2026

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$npx skills add https://github.com/avdlee/xcode-build-optimization-agent-skill --skill xcode-build-fixer
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summary

Use this skill to implement approved build optimization changes and verify them with a benchmark.

skill.md

Xcode Build Fixer

Use this skill to implement approved build optimization changes and verify them with a benchmark.

Core Rules

  • Only apply changes that have explicit developer approval.
  • Apply one logical fix at a time so changes are reviewable and reversible.
  • Re-benchmark after applying changes to verify improvement.
  • Report exactly what changed, which files were touched, and the measured delta.
  • If a change produces no improvement or causes a regression, flag it immediately.

Inputs

The fixer expects one of:

  • An approved optimization plan at .build-benchmark/optimization-plan.md with checked approval boxes.
  • An explicit developer instruction describing the fix to apply (e.g., "set DEBUG_INFORMATION_FORMAT to dwarf for Debug").

When working from an optimization plan, read the approval checklist and implement only the checked items.

Fix Categories

Build Settings

Change project.pbxproj values to match the recommendations in build-settings-best-practices.md.

Typical fixes:

  • Set DEBUG_INFORMATION_FORMAT = dwarf for Debug
  • Set SWIFT_COMPILATION_MODE = singlefile for Debug
  • Enable COMPILATION_CACHE_ENABLE_CACHING = YES
  • Enable EAGER_LINKING = YES for Debug
  • Align cross-target settings to eliminate module variants

When editing project.pbxproj, locate the correct buildSettings block by matching the target name and configuration name. Verify the change with xcodebuild -showBuildSettings after applying.

Script Phases

Fix run script phases that waste time during incremental or debug builds.

Typical fixes:

  • Add input and output file declarations so Xcode can skip unchanged scripts.
  • Add configuration guards: [[ "$CONFIGURATION" != "Release" ]] && exit 0 for release-only scripts.
  • Move input/output lists into .xcfilelist files when the list is long.
  • Enable Based on dependency analysis when inputs and outputs are declared.

Source-Level Compilation Fixes

Apply code changes that reduce type-checker and compiler overhead. See references/fix-patterns.md for before/after patterns.

Typical fixes:

  • Add explicit type annotations to complex expressions.
  • Break long chained or nested expressions into intermediate typed variables.
  • Mark classes final when they are not subclassed.
  • Tighten access control (private/fileprivate) for internal-only symbols.
  • Extract monolithic SwiftUI body properties into smaller composed subviews.
  • Replace deeply nested result-builder code with separate typed helpers.
  • Add explicit return types to closures passed to generic functions.

SPM Restructuring

Restructure Swift packages to improve build parallelism and reduce rebuild scope.

Typical fixes:

  • Move shared types to a lower-layer module to eliminate circular or upward dependencies.
  • Split oversized modules (200+ files) by feature area.
  • Extract protocol definitions into lightweight interface modules.
  • Remove unnecessary @_exported import usage.
  • Align build options across targets that import the same packages to prevent module variant duplication.
  • Pin branch-tracked dependencies to tagged versions or commit hashes for deterministic resolution.

Before applying version pin changes:

  • Run git ls-remote --tags <url> to confirm tags exist. If the upstream has no tags, pin to a specific revision hash instead.
  • Verify the pinned version resolves successfully with xcodebuild -resolvePackageDependencies before proceeding.

Execution Workflow

  1. Read the approved optimization plan or developer instruction.
  2. For each approved item, identify the exact files and locations to change.
  3. Apply the change.
  4. Verify the change compiles: run a quick xcodebuild build to confirm no errors were introduced.
  5. After all approved changes are applied, re-benchmark using the same inputs from the original baseline:
    python3 scripts/benchmark_builds.py \
      --project App.xcodeproj \
      --scheme MyApp \
      --configuration Debug \
      --destination "platform=iOS Simulator,name=iPhone 16" \
      --output-dir .build-benchmark
    
  6. Compare post-change medians to the baseline and report deltas.

Evaluating Regressions

Not every slower number is a true regression. The fixer must evaluate the full picture before recommending a revert.

Compilation caching trade-off

A change like COMPILATION_CACHE_ENABLE_CACHING = YES may make a standard clean build slightly slower (cache population overhead) while making cached clean builds significantly faster. Since cached clean builds reflect the realistic developer workflow (branch switching, pulling changes, Clean Build Folder with a warm cache), a slower standard clean build paired with a faster cached clean build is a net improvement, not a regression. The same logic applies to any change where the first-time cost is higher but subsequent builds benefit.

Compare all build types

Evaluate standard clean, cached clean (when available), and incremental builds together. A change is only a clear regression if it makes the metrics that matter to the developer's daily workflow worse. If only the cold-start clean build is slower but the developer rarely does truly cold builds, that may be acceptable.

Per-change vs. cumulative

A single change that regresses on its own may still be worth keeping if it enables a larger cumulative improvement (e.g., enabling compilation caching makes one build type slower but unlocks cache benefits for everything else).

Best-practice settings are not revert candidates

Some build settings are Apple's recommended modern defaults. These should be applied and kept regardless of whether the immediate benchmark shows a measurable improvement. They are not speculative optimizations -- they align the project with Apple's toolchain direction and will compound in value over future Xcode releases. The fixer must never recommend reverting these settings based on a single benchmark result.

Best-practice settings that should always be kept once applied:

  • COMPILATION_CACHE_ENABLE_CACHING = YES -- Apple is actively investing in this; the cache improves with each Xcode release and compounds across real workflows
  • EAGER_LINKING = YES (Debug) -- allows the linker to overlap with compilation
  • SWIFT_USE_INTEGRATED_DRIVER = YES -- eliminates inter-process scheduling overhead
  • DEBUG_INFORMATION_FORMAT = dwarf (Debug) -- avoids unnecessary dSYM generation
  • SWIFT_COMPILATION_MODE = singlefile (Debug) -- incremental recompilation
  • ONLY_ACTIVE_ARCH = YES (Debug) -- no reason to build all architectures locally

When reporting on these settings, use language like: "Applied recommended build setting. No immediate benchmark improvement measured, but this aligns with Apple's recommended configuration and positions the project for future Xcode improvements."

When to recommend revert (speculative changes only)

For changes that are not best-practice settings (e.g., source refactors, linkage experiments, script phase modifications, dependency restructuring):

  • If the cumulative pass shows wall-clock regression across all measured build types (standard clean, cached clean, and incremental are all slower), recommend reverting all speculative changes unless the developer explicitly asks to keep specific items for non-performance reasons.
  • For each individual speculative change: if it shows no median improvement and no cached/incremental benefit either, flag it with Recommend revert and the measured delta.
  • Distinguish between "outlier reduction only" (improved worst-case but not median) and "median improvement" (improved typical developer wait).
  • When a change trades off one build type for another (e.g., slower standard clean but faster cached clean), present both numbers clearly and let the developer decide. Frame it as: "Standard clean builds are X.Xs slower, but cached clean builds (the realistic daily workflow) are Y.Ys faster."

Reporting

Lead with the wall-clock result in plain language:

"Your clean build now takes X.Xs (was Y.Ys) -- Z.Zs faster." "Your incremental build now takes X.Xs (was Y.Ys) -- Z.Zs faster."

Then include:

  • Post-change clean build wall-clock median
  • Post-change incremental build wall-clock median
  • Absolute and percentage wall-clock deltas for both
  • Confidence notes if benchmark noise is high
  • List of files modified per fix
  • Any deviations from the original recommendation

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."

If a fix produced no measurable wall-time improvement, note No measurable wall-time improvement and suggest whether to keep (e.g. for code quality) or revert.

For changes valuable for non-benchmark reasons (deterministic package resolution, branch-switch caching), label them: "No wait-time improvement expected from this change. The benefit is [deterministic builds / faster branch switching / reduced CI cost]."

Note: COMPILATION_CACHE_ENABLE_CACHING has been measured at 5-14% faster clean builds across tested projects (87 to 1,991 Swift files). The benefit compounds in real developer workflows where the cache persists between builds -- branch switching, pulling changes, and CI with persistent DerivedData. The benchmark script auto-detects this setting and runs a cached clean phase for validation.

Execution Report

After the optimization pass is complete, produce a structured execution report. This gives the developer a clear summary of what was attempted, what worked, and what the final state is.

Structure:

## Execution Report

### Baseline
- Clean build median: X.Xs
- Cached clean build median: X.Xs (if applicable)
- Incremental build median: X.Xs

### Changes Applied

| # | Change | Actionability | Measured Result | Status |
|---|--------|---------------|-----------------|--------|
| 1 | Description | repo-local | Clean: X.Xs→Y.Ys, Incr: X.Xs→Y.Ys | Kept / Reverted / Blocked |
| 2 | ... | ... | ... | ... |

### Final Cumulative Result
- Clean build median: X.Xs (was Y.Ys) -- Z.Zs faster/slower
- Cached clean build median: X.Xs (was Y.Ys) -- Z.Zs faster/slower
- Incremental build median: X.Xs (was Y.Ys) -- Z.Zs faster/slower
- **Net result:** Faster / Slower / Unchanged

### Blocked or Non-Actionable Findings
- Finding: reason it could not be addressed from the repo

Status values:

  • Kept -- Change improved or maintained build times and was kept.
  • Kept (best practice) -- Change is a recommended build setting; kept regardless of immediate benchmark result.
  • Reverted -- Change regressed build times and was reverted.
  • Blocked -- Change could not be applied due to project structure, Xcode behavior, or external constraints.
  • No improvement -- Change compiled but showed no measurable wall-time benefit. Include whether it was kept (for non-performance reasons) or reverted.

Escalation

If during implementation you discover issues outside this skill's scope:

Additional Resources

how to use xcode-build-fixer

How to use xcode-build-fixer on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add xcode-build-fixer
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/avdlee/xcode-build-optimization-agent-skill --skill xcode-build-fixer

The skills CLI fetches xcode-build-fixer from GitHub repository avdlee/xcode-build-optimization-agent-skill and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/xcode-build-fixer

Reload or restart Cursor to activate xcode-build-fixer. Access the skill through slash commands (e.g., /xcode-build-fixer) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.668 reviews
  • Ganesh Mohane· Dec 24, 2024

    We added xcode-build-fixer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Omar Li· Dec 20, 2024

    xcode-build-fixer has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Sophia Abebe· Dec 16, 2024

    xcode-build-fixer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Yuki Khanna· Dec 12, 2024

    xcode-build-fixer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Valentina Kim· Nov 19, 2024

    I recommend xcode-build-fixer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Sakshi Patil· Nov 15, 2024

    xcode-build-fixer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Valentina Rao· Nov 11, 2024

    Useful defaults in xcode-build-fixer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ava Abebe· Nov 7, 2024

    We added xcode-build-fixer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Kwame Sharma· Nov 3, 2024

    Keeps context tight: xcode-build-fixer is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Hiroshi Li· Oct 26, 2024

    Solid pick for teams standardizing on skills: xcode-build-fixer is focused, and the summary matches what you get after install.

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