axiom-xcode-debugging

charleswiltgen/axiom · updated Apr 8, 2026

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$npx skills add https://github.com/charleswiltgen/axiom --skill axiom-xcode-debugging
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summary

Check build environment BEFORE debugging code. Core principle 80% of "mysterious" Xcode issues are environment problems (stale Derived Data, stuck simulators, zombie processes), not code bugs.

skill.md

Xcode Debugging

Overview

Check build environment BEFORE debugging code. Core principle 80% of "mysterious" Xcode issues are environment problems (stale Derived Data, stuck simulators, zombie processes), not code bugs.

Example Prompts

These are real questions developers ask that this skill is designed to answer:

1. "My build is failing with 'BUILD FAILED' but no error details. I haven't changed anything. What's going on?"

→ The skill shows environment-first diagnostics: check Derived Data, simulator states, and zombie processes before investigating code

2. "Tests passed yesterday with no code changes, but now they're failing. This is frustrating. How do I fix this?"

→ The skill explains stale Derived Data and intermittent failures, shows the 2-5 minute fix (clean Derived Data)

3. "My app builds fine but it's running the old code from before my changes. I restarted Xcode but it still happens."

→ The skill demonstrates that Derived Data caches old builds, shows how deletion forces a clean rebuild

4. "The simulator says 'Unable to boot simulator' and I can't run tests. How do I recover?"

→ The skill covers simulator state diagnosis with simctl and safe recovery patterns (erase/shutdown/reboot)

5. "I'm getting 'No such module: SomePackage' errors after updating SPM dependencies. How do I fix this?"

→ The skill explains SPM caching issues and the clean Derived Data workflow that resolves "phantom" module errors


Red Flags — Check Environment First

If you see ANY of these, suspect environment not code:

  • "It works on my machine but not CI"
  • "Tests passed yesterday, failing today with no code changes"
  • "Build succeeds but old code executes"
  • "Build sometimes succeeds, sometimes fails" (intermittent failures)
  • "Simulator stuck at splash screen" or "Unable to install app"
  • Multiple xcodebuild processes (10+) older than 30 minutes

Mandatory First Steps

ALWAYS run these commands FIRST (before reading code):

# 1. Check processes (zombie xcodebuild?)
ps aux | grep -E "xcodebuild|Simulator" | grep -v grep

# 2. Check Derived Data size (>10GB = stale)
du -sh ~/Library/Developer/Xcode/DerivedData

# 3. Check simulator states (stuck Booting?)
xcrun simctl list devices | grep -E "Booted|Booting|Shutting Down"

What these tell you

  • 0 processes + small Derived Data + no booted sims → Environment clean, investigate code
  • 10+ processes OR >10GB Derived Data OR simulators stuck → Environment problem, clean first
  • Stale code executing OR intermittent failures → Clean Derived Data regardless of size

Why environment first

  • Environment cleanup: 2-5 minutes → problem solved
  • Code debugging for environment issues: 30-120 minutes → wasted time

Quick Fix Workflow

Finding Your Scheme Name

If you don't know your scheme name:

# List available schemes
xcodebuild -list

For Stale Builds / "No such module" Errors

# Clean everything
xcodebuild clean -scheme YourScheme
rm -rf ~/Library/Developer/Xcode/DerivedData/*
rm -rf .build/ build/

# Rebuild
xcodebuild build -scheme YourScheme \
  -destination 'platform=iOS Simulator,name=iPhone 16'

For Simulator Issues

# Shutdown all simulators
xcrun simctl shutdown all

# If simctl command fails, shutdown and retry
xcrun simctl shutdown all
xcrun simctl list devices

# If still stuck, erase specific simulator
xcrun simctl erase <device-uuid>

# Nuclear option: force-quit Simulator.app
killall -9 Simulator

For Zombie Processes

# Kill all xcodebuild (use cautiously)
killall -9 xcodebuild

# Check they're gone
ps aux | grep xcodebuild | grep -v grep

For Test Failures

# Isolate failing test
xcodebuild test -scheme YourScheme \
  -destination 'platform=iOS Simulator,name=iPhone 16' \
  -only-testing:YourTests/SpecificTestClass

Simulator Verification (Optional)

After applying fixes, verify in simulator with visual confirmation.

Quick Screenshot Verification

# 1. Boot simulator (if not already)
xcrun simctl boot "iPhone 16 Pro"

# 2. Build and install app
xcodebuild build -scheme YourScheme \
  -destination 'platform=iOS Simulator,name=iPhone 16 Pro'

# 3. Launch app
xcrun simctl launch booted com.your.bundleid

# 4. Wait for UI to stabilize
sleep 2

# 5. Capture screenshot
xcrun simctl io booted screenshot /tmp/verify-build-$(date +%s).png

Using Axiom Tools

Quick screenshot:

/axiom:screenshot

Full simulator testing (with navigation, state setup):

/axiom:test-simulator

When to Use Simulator Verification

Use when:

  • Visual fixes — Layout changes, UI updates, styling tweaks
  • State-dependent bugs — "Only happens in this specific screen"
  • Intermittent failures — Need to reproduce specific conditions
  • Before shipping — Final verification that fix actually works

Pro tip: If you have debug deep links (see axiom-deep-link-debugging skill), you can navigate directly to the screen that was broken:

xcrun simctl openurl booted "debug://problem-screen"
sleep 1
xcrun simctl io booted screenshot /tmp/fix-verification.png

Decision Tree

Test/build failing?
├─ BUILD FAILED with no details?
│  └─ Clean Derived Data → rebuild
├─ Build intermittent (sometimes succeeds/fails)?
│  └─ Clean Derived Data → rebuild
├─ Build succeeds but old code executes?
│  └─ Delete Derived Data → rebuild (2-5 min fix)
├─ "Unable to boot simulator"?
│  └─ xcrun simctl shutdown all → erase simulator
├─ "No such module PackageName"?
│  └─ Clean + delete Derived Data → rebuild
├─ Tests hang indefinitely?
│  └─ Check simctl list → reboot simulator
├─ Tests crash?
│  └─ Check ~/Library/Logs/DiagnosticReports/*.crash
└─ Code logic bug?
   └─ Use systematic-debugging skill instead

Common Error Patterns

Error Fix
BUILD FAILED (no details) Delete Derived Data
Unable to boot simulator xcrun simctl erase <uuid>
No such module Clean + delete Derived Data
Tests hang Check simctl list, reboot simulator
Stale code executing Delete Derived Data

Useful CLI Tools

# Show build settings
xcodebuild -showBuildSettings -scheme YourScheme

# List schemes/targets
xcodebuild -list

# Verbose output
xcodebuild -verbose build -scheme YourScheme

# Build without testing (faster)
xcodebuild build-for-testing -scheme YourScheme
xcodebuild test-without-building -scheme YourScheme

# Version and build number management (agvtool)
xcrun agvtool what-marketing-version          # Current version (e.g., 2.0)
xcrun agvtool what-version                    # Current build number
xcrun agvtool next-version -all               # Bump build number
xcrun agvtool new-version -all 42             # Set specific build number
xcrun agvtool new-marketing-version 2.1       # Set marketing version

# Validate asset catalogs
xcrun amlint Assets.xcassets                   # Lint for issues before build

Physical Device Management (devicectl)

devicectl is the modern CLI for physical device operations (replaces legacy idevice* tools).

# List connected devices
xcrun devicectl list devices

# Install app on device
xcrun devicectl device install app --device <udid> MyApp.app

# Launch app on device
xcrun devicectl device process launch --device <udid> com.your.bundleid

# List installed apps
xcrun devicectl device info apps --device <udid>

# List running processes
xcrun devicectl device info processes --device <udid>

When to use: Physical device debugging when the issue doesn't reproduce in Simulator — install, launch, and inspect from CLI.

Crash Log Analysis

# Recent crashes
ls -lt ~/Library/Logs/DiagnosticReports/*.crash | head -5

# Symbolicate a single address (if you have .dSYM)
xcrun atos -o YourApp.app.dSYM/Contents/Resources/DWARF/YourApp \
  -arch arm64 -l 0x100000000 0x<address>

# Symbolicate an entire crash log at once (LLDB Python script, may vary by Xcode version)
xcrun crashlog MyCrash.ips

Common Mistakes

Debugging code before checking environment — Always run mandatory steps first

Ignoring simulator states — "Booting" can hang 10+ minutes, shutdown/reboot immediately

Assuming git changes caused the problem — Derived Data caches old builds despite code changes

Running full test suite when one test fails — Use -only-testing to isolate

Real-World Impact

Before 30+ min debugging "why is old code running" After 2 min environment check → clean Derived Data → problem solved

Key insight Check environment first, debug code second.

how to use axiom-xcode-debugging

How to use axiom-xcode-debugging 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 axiom-xcode-debugging
2

Execute installation command

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

$npx skills add https://github.com/charleswiltgen/axiom --skill axiom-xcode-debugging

The skills CLI fetches axiom-xcode-debugging from GitHub repository charleswiltgen/axiom 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/axiom-xcode-debugging

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

List & Monetize Your Skill

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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

4.548 reviews
  • Yusuf Kapoor· Dec 24, 2024

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

  • Noah Bansal· Dec 24, 2024

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

  • Zara Chen· Dec 20, 2024

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

  • Layla Khan· Nov 15, 2024

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

  • Aanya Li· Nov 11, 2024

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

  • Aarav Jackson· Nov 11, 2024

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

  • Rahul Santra· Nov 3, 2024

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

  • Pratham Ware· Oct 22, 2024

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

  • Olivia Thomas· Oct 6, 2024

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

  • Aditi Farah· Oct 2, 2024

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

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