startup-time-profiler
Profile and optimize application startup time for desktop applications
Profile →npx skills add a5c-ai/babysitter --skill startup-time-profiler --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# startup-time-profiler 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 ```json { "type": "object", "properties": { "projectPath": { "type": "string" }, "framework": { "enum": ["electron", "tauri", "native"] }, "iterations": { "type": "number", "default": 5 } }, "required": ["projectPath"] } ``` ## Electron Startup Profiling ```javascript // 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 1. Lazy load modules 2. Defer non-critical initialization 3. Optimize bundle size 4. Use V8 snapshots 5. Preload critical resources ## Benchmarks | Metric | Good | Acceptable | Poor | |--------|------|------------|------| | Cold start | < 2
- Capabilities
- Input Schema
- Electron Startup Profiling
- Optimization Techniques
- Benchmarks
- Related Skills
What does the startup-time-profiler skill do?
Profile and optimize application startup time for desktop applications
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill startup-time-profiler --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.