startup-time-profiler
SkillDev toolsProfile and optimize application startup time for desktop applications
Use startup-time-profiler in Claude, ChatGPT or Ahel Desktop
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Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
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Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
What this skill tells your AI
The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/desktop-development/skills/startup-time-profiler/SKILL.md and read by Ahel’s review.
Profile and optimize application startup time, identifying bottlenecks in initialization, module loading, and rendering.
Capabilities
- Measure cold and warm start times
- Identify module loading bottlenecks
- Profile initialization phases
- Generate timeline visualizations
- Provide optimization recommendations
- Set up CI performance tracking
Input Schema
{
"type": "object",
"properties": {
"projectPath": { "type": "string" },
"framework": { "enum": ["electron", "tauri", "native"] },
"iterations": { "type": "number", "default": 5 }
},
"required": ["projectPath"]
}
Electron Startup Profiling
// Add to main.js
const startTime = Date.now();
app.on('ready', () => {
console.log(`App ready: ${Date.now() - startTime}ms`);
});
// Enable tracing
app.commandLine.appendSwitch('trace-startup');
app.commandLine.appendSwitch('trace-startup-file', 'startup-trace.json');
Optimization Techniques
- Lazy load modules
- Defer non-critical initialization
- Optimize bundle size
- Use V8 snapshots
- Preload critical resources
Benchmarks
| Metric | Good | Acceptable | Poor |
|---|---|---|---|
| Cold start | < 2s | < 4s | > 6s |
| Warm start | < 1s | < 2s | > 3s |
| Window visible | < 1.5s | < 3s | > 5s |
Related Skills
memory-leak-detectorbundle-size-analyzer
Signals
- GitHub stars
- 2k
- Forks
- 113
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
startup-time-profiler- Source
- github.com/a5c-ai/babysitter