Symptom-based troubleshooting for energy issues. Start with your symptom, follow the decision tree, get the fix.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionaxiom-energy-diagExecute the skills CLI command in your project's root directory to begin installation:
Fetches axiom-energy-diag from charleswiltgen/axiom and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate axiom-energy-diag. Access via /axiom-energy-diag in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
0
total installs
0
this week
767
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
767
stars
Symptom-based troubleshooting for energy issues. Start with your symptom, follow the decision tree, get the fix.
Related skills: axiom-energy (patterns, checklists), axiom-energy-ref (API reference)
Users or you notice your app consuming significant battery.
App at top of Battery Settings?
│
├─ Step 1: Run Power Profiler (15 min)
│ ├─ CPU Power Impact high?
│ │ ├─ Continuous? → Timer leak or polling loop
│ │ │ └─ Fix: Check timers, add tolerance, convert to push
│ │ └─ Spikes during actions? → Eager loading or repeated parsing
│ │ └─ Fix: Use LazyVStack, cache parsed data
│ │
│ ├─ Network Power Impact high?
│ │ ├─ Many small requests? → Batching issue
│ │ │ └─ Fix: Batch requests, use discretionary URLSession
│ │ └─ Regular intervals? → Polling pattern
│ │ └─ Fix: Convert to push notifications
│ │
│ ├─ GPU Power Impact high?
│ │ ├─ Animations? → Running when not visible
│ │ │ └─ Fix: Stop in viewWillDisappear
│ │ └─ Blur effects? → Over dynamic content
│ │ └─ Fix: Remove or use static backgrounds
│ │
│ └─ Display Power Impact high?
│ └─ Light backgrounds on OLED?
│ └─ Fix: Implement Dark Mode (up to 70% savings)
│
└─ Step 2: Check background section in Battery Settings
├─ High background time?
│ ├─ Location icon visible? → Continuous location
│ │ └─ Fix: Switch to significant-change monitoring
│ ├─ Audio active? → Session not deactivated
│ │ └─ Fix: Deactivate audio session when not playing
│ └─ BGTasks running long? → Not completing promptly
│ └─ Fix: Call setTaskCompleted sooner
│
└─ Background time appropriate?
└─ Issue is in foreground usage → Focus on CPU/GPU fixes above
| Approach | Time | Accuracy |
|---|---|---|
| Run Power Profiler, identify subsystem | 15-20 min | High |
| Guess and optimize random areas | 4+ hours | Low |
| Read all code looking for issues | 2+ hours | Medium |
Recommendation: Always use Power Profiler first. It costs 15 minutes but guarantees you optimize the right subsystem.
Device temperature increases noticeably during app use.
Device gets hot during app use?
│
├─ Hot during specific action?
│ │
│ ├─ During video/camera use?
│ │ ├─ Video encoding? → Expected, but check efficiency
│ │ │ └─ Fix: Use hardware encoding, reduce resolution if possible
│ │ └─ Camera active unnecessarily? → Not releasing session
│ │ └─ Fix: Call stopRunning() when done
│ │
│ ├─ During scroll/animation?
│ │ ├─ GPU-intensive effects? → Blur, shadows, many layers
│ │ │ └─ Fix: Reduce effects, cache rendered content
│ │ └─ High frame rate? → Unnecessary 120fps
│ │ └─ Fix: Use CADisplayLink preferredFrameRateRange
│ │
│ └─ During data processing?
│ ├─ JSON parsing? → Repeated or large payloads
│ │ └─ Fix: Cache parsed results, paginate
│ └─ Image processing? → Synchronous on main thread
│ └─ Fix: Move to background, cache results
│
├─ Hot during normal use (no specific action)?
│ │
│ ├─ Run Power Profiler to identify:
│ │ ├─ CPU high continuously → Timer, polling, tight loop
│ │ ├─ GPU high continuously → Animation leak
│ │ └─ Network high continuously → Polling pattern
│ │
│ └─ Check for infinite loops or runaway recursion
│ └─ Use Time Profiler in Instruments
│
└─ Hot only in background?
├─ Location updates continuous? → High accuracy or no stop
│ └─ Fix: Reduce accuracy, stop when done
├─ Audio session active? → Hardware kept powered
│ └─ Fix: Deactivate when not playing
└─ BGTask running too long? → System may throttle
└─ Fix: Complete tasks faster, use requiresExternalPower
| Approach | Time | Outcome |
|---|---|---|
| Power Profiler + Time Profiler | 20-30 min | Identifies exact cause |
| Check code for obvious issues | 1-2 hours | May miss non-obvious causes |
| Wait for user complaints | N/A | Reputation damage |
App drains battery even when user isn't actively using it.
High background battery usage?
│
├─ Step 1: Check Info.plist background modes
│ │
│ ├─ "location" enabled?
│ │ ├─ Actually need background location?
│ │ │ ├─ YES → Use significant-change, lowest accuracy
│ │ │ └─ NO → Remove background mode, use when-in-use only
│ │ └─ Check: Is stopUpdatingLocation called?
│ │
│ ├─ "audio" enabled?
│ │ ├─ Audio playing? → Expected
│ │ ├─ Audio NOT playing? → Session still active
│ │ │ └─ Fix: Deactivate session, use autoShutdownEnabled
│ │ └─ Playing silent audio? → Anti-pattern for keeping app alive
│ │ └─ Fix: Use proper background API (BGTask)
│ │
│ ├─ "fetch" enabled?
│ │ └─ Check: Is earliestBeginDate reasonable? (not too frequent)
│ │
│ └─ "remote-notification" enabled?
│ └─ Expected for push updates, check didReceiveRemoteNotification efficiency
│
├─ Step 2: Check BGTaskScheduler usage
│ │
│ ├─ BGAppRefreshTask scheduled too frequently?
│ │ └─ Fix: Increase earliestBeginDate interval
│ │
│ ├─ BGProcessingTask not using requiresExternalPower?
│ │ └─ Fix: Add requiresExternalPower = true for non-urgent work
│ │
│ └─ Tasks not completing? (setTaskCompleted not called)
│ └─ Fix: Always call setTaskCompleted, implement expirationHandler
│
└─ Step 3: Check beginBackgroundTask usage
│
├─ endBackgroundTask called promptly?
│ └─ Fix: Call immediately after work completes, not at expiration
│
└─ Multiple overlapping background tasks?
└─ Fix: Track task IDs, ensure each is ended
| Pattern | Power Profiler Signature | Fix |
|---|---|---|
| Continuous location | CPU lane + location icon | significant-change |
| Audio session leak | CPU lane steady | setActive(false) |
| Timer not invalidated | CPU spikes at intervals | invalidate in background |
| Polling from background | Network lane at intervals | Push notifications |
| BGTask too long | CPU sustained | Faster completion |
| Approach | Time | Outcome |
|---|---|---|
| Check Info.plist + BGTask code | 30 min | Finds common issues |
| On-device Power Profiler trace | 1-2 hours (real usage) | Captures real behavior |
| User-collected trace | Variable | Best for unreproducible issues |
Battery drains faster on cellular than WiFi.
High battery drain on cellular only?
│
├─ Expected: Cellular radio uses more power than WiFi
│ └─ But: Excessive drain indicates optimization opportunity
│
├─ Check URLSession configuration
│ │
│ ├─ allowsExpensiveNetworkAccess = true (default)?
│ │ └─ Fix: Set to false for non-urgent requests
│ │
│ ├─ isDiscretionary = false (default)?
│ │ └─ Fix: Set to true for background downloads
│ │
│ └─ waitsForConnectivity = false (default)?
│ └─ Fix: Set to true to avoid failed connection retries
│
├─ Check request patterns
│ │
│ ├─ Many small requests? → High connection overhead
│ │ └─ Fix: Batch into fewer larger requests
│ │
│ ├─ Polling? → Radio stays active
│ │ └─ Fix: Push notifications
│ │
│ └─ Large downloads in foreground? → Could wait for WiFi
│ └─ Fix: Use background URLSession with discretionary
│
└─ Check Low Data Mode handling
├─ Respecting allowsConstrainedNetworkAccess?
│ └─ Fix: Set to false for non-essential requests
│
└─ Checking ProcessInfo.processInfo.isLowDataModeEnabled?
└─ Fix: Reduce payload sizes, defer non-essential transfers
| Approach | Time | Outcome |
|---|---|---|
| Review URLSession configs | 15 min | Quick wins |
| Add discretionary flags | 30 min | Significant savings |
| Convert poll to push | 2-4 hours | Largest impact |
Noticeable battery drain or heat when performing particular operation.
Energy spike during specific action?
│
├─ Step 1: Record Power Profiler during action
│ └─ Note which subsystem spikes (CPU/GPU/Network/Display)
│
├─ CPU spike?
│ │
│ ├─ Is it parsing data?
│ │ ├─ Same data parsed repeatedly?
│ │ │ └─ Fix: Cache parsed results (lazy var)
│ │ └─ Large JSON/XML payload?
│ │ └─ Fix: Paginate, stream parse, or use binary format
│ │
│ ├─ Is it creating views?
│ │ ├─ Many views at once?
│ │ │ └─ Fix: Use LazyVStack/LazyHStack
│ │ └─ Complex view hierarchies?
│ │ └─ Fix: Simplify, use drawingGroup()
│ │
│ └─ Is it image processing?
│ ├─ On main thread?
│ │ └─ Fix: Move to background queue
│ └─ No caching?
│ └─ Fix: Cache processed images
│
├─ GPU spike?
│ │
│ ├─ Starting animation?
│ │ └─ Fix: Ensure frame rate appropriate
│ │
│ ├─ Showing blur effect?
│ │ └─ Fix: Use solid color or pre-rendered blur
│ │
│ └─ Complex render? (shadows, masks, many layers)
│ └─ Fix: Simplify, use shouldRasterize, cache
│
├─ Network spike?
│ │
│ ├─ Large download started?
│ │ └─ Fix: Use background URLSession, show progress
│ │
│ ├─ Many parallel requests?
│ │ └─ Fix: Limit concurrency, batch
│ │
│ └─ Retrying failed requests?
│ └─ Fix: Exponential backoff, waitsForConnectivity
│
└─ Display spike?
└─ Unusual unless changing brightness programmatically
└─ Fix: Don't modify brightness, let system control
| Approach | Time | Outcome |
|---|---|---|
| Power Profiler during action | 5-10 min | Identifies subsystem |
| Time Profiler for CPU details | 10-15 min | Identifies function |
| Code review without profiling | 1+ hours | May miss actual cause |
Use this when you need fast answers:
| Finding | Quick Fix | Time |
|---|---|---|
| Timer without tolerance | Add .tolerance = 0.1 |
1 min |
| VStack with large ForEach | Change to LazyVStack | 1 min |
| allowsExpensiveNetworkAccess = true | Set to false | 1 min |
| Missing stopUpdatingLocation | Add stop call | 2 min |
| No Dark Mode | Add asset variants | 30 min |
| Audio session always active | Add setActive(false) | 5 min |
axiom-energy skill whenaxiom-energy-ref skill whenenergy-auditor agent whenRun: /axiom:audit energy
Last Updated: 2025-12-26 Platforms: iOS 26+, iPadOS 26+
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Solid pick for teams standardizing on skills: axiom-energy-diag is focused, and the summary matches what you get after install.
axiom-energy-diag is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added axiom-energy-diag from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
axiom-energy-diag reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend axiom-energy-diag for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
axiom-energy-diag fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for axiom-energy-diag matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in axiom-energy-diag — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
axiom-energy-diag is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: axiom-energy-diag is the kind of skill you can hand to a new teammate without a long onboarding doc.
showing 1-10 of 28