xcode-project-analyzer

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-project-analyzer
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summary

Use this skill for project- and target-level build inefficiencies that are unlikely to be solved by source edits alone.

skill.md

Xcode Project Analyzer

Use this skill for project- and target-level build inefficiencies that are unlikely to be solved by source edits alone.

Core Rules

  • Recommendation-first by default.
  • Require explicit approval before changing project files, schemes, or build settings.
  • Prefer measured findings tied to timing summaries, build logs, or project configuration evidence.
  • Distinguish debug-only pain from release-only pain.

What To Review

  • scheme build order and target dependencies
  • debug vs release build settings against the build settings best practices
  • run script phases and dependency-analysis settings
  • derived-data churn or obviously invalidating custom steps
  • opportunities for parallelization
  • explicit module dependency settings and module-map readiness
  • "Planning Swift module" time in the Build Timing Summary -- if it dominates incremental builds, suspect unexpected input modification or macro-related invalidation
  • asset catalog compilation time, especially in targets with large or numerous catalogs
  • ExtractAppIntentsMetadata time in the Build Timing Summary -- if this phase consumes significant time, record it as xcode-behavior (report the cost and impact, but do not suggest a repo-local optimization unless there is explicit Apple guidance)
  • zero-change build overhead -- if a no-op rebuild exceeds a few seconds, investigate fixed-cost phases (script execution, codesign, validation, CopySwiftLibs)
  • CocoaPods usage -- if a Podfile or Pods.xcodeproj exists, CocoaPods is deprecated; recommend migrating to SPM and do not attempt CocoaPods-specific optimizations (see project-audit-checks.md)
  • Task Backtraces (Xcode 16.4+: Scheme Editor > Build > Build Debugging) to diagnose why tasks re-run unexpectedly in incremental builds

Build Settings Best Practices Audit

Every project audit should include a build settings checklist comparing the project's Debug and Release configurations against the recommended values in build-settings-best-practices.md. Present results using checkmark/cross indicators ([x]/[ ]). The scope is strictly build performance -- do not flag language-migration settings like SWIFT_STRICT_CONCURRENCY or SWIFT_UPCOMING_FEATURE_*.

Apple-Derived Checks

Review these items in every audit:

  • target dependencies are accurate and not missing or inflated
  • schemes build in Dependency Order
  • run scripts declare inputs and outputs
  • .xcfilelist files are used when scripts have many inputs or outputs
  • DEFINES_MODULE is enabled where custom frameworks or libraries should expose module maps
  • headers are self-contained enough for module-map use
  • explicit module dependency settings are consistent for targets that should share modules

Typical Wins

  • skip debug-time scripts that only matter in release
  • add missing script guards or dependency-analysis metadata
  • remove accidental serial bottlenecks in schemes
  • align build settings that cause unnecessary module variants
  • fix stale project structure that forces broader rebuilds than necessary
  • identify linters or formatters that touch file timestamps without changing content, silently invalidating build inputs and forcing module replanning
  • split large asset catalogs into separate resource bundles across targets to parallelize compilation
  • use Task Backtraces to pinpoint the exact input change that triggers unnecessary incremental work

Reporting Format

For each issue, include:

  • evidence
  • likely scope
  • why it affects clean builds, incremental builds, or both
  • estimated impact
  • approval requirement

If the evidence points to package graph or build plugins, hand off to spm-build-analysis by reading its SKILL.md and applying its workflow to the same project context.

Additional Resources

how to use xcode-project-analyzer

How to use xcode-project-analyzer 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-project-analyzer
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-project-analyzer

The skills CLI fetches xcode-project-analyzer 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-project-analyzer

Reload or restart Cursor to activate xcode-project-analyzer. Access the skill through slash commands (e.g., /xcode-project-analyzer) 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

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

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

Ratings

4.837 reviews
  • Pratham Ware· Dec 28, 2024

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

  • Naina Kim· Dec 28, 2024

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

  • Dhruvi Jain· Dec 20, 2024

    xcode-project-analyzer reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Harper Kapoor· Dec 16, 2024

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

  • Min Li· Nov 19, 2024

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

  • Oshnikdeep· Nov 11, 2024

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

  • Harper Sharma· Nov 7, 2024

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

  • Daniel Abebe· Oct 26, 2024

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

  • Amelia Dixit· Oct 10, 2024

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

  • Ganesh Mohane· Oct 2, 2024

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

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