performance-profiler

Solid

Profile application performance including CPU, memory, and flame graph generation

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 95/100

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Skill Content

# Performance Profiler Skill ## Overview Profiles application performance including CPU profiling, memory profiling, flame graph generation, bottleneck identification, and APM tool integration. ## Capabilities - CPU profiling - Memory profiling and heap snapshots - Flame graph generation - Bottleneck identification - Hot path analysis - Integration with APM tools (DataDog, New Relic) - Event loop analysis (Node.js) - Garbage collection analysis ## Target Processes - performance-optimization ## Input Schema ```json { "type": "object", "required": ["target"], "properties": { "target": { "type": "string", "description": "Target process, script, or endpoint" }, "mode": { "type": "string", "enum": ["cpu", "memory", "heap", "all"], "default": "cpu" }, "duration": { "type": "number", "default": 30, "description": "Profiling duration in seconds" }, "options": { "type": "object", "properties": { "samplingInterval": { "type": "number", "default": 1000, "description": "Sampling interval in microseconds" }, "generateFlameGraph": { "type": "boolean", "default": true }, "outputFormat": { "type": "string", "enum": ["json", "html", "svg"], "default": "html" } } } } } ``` ## Output Schema ```json { "type": "object", "properties": { "profile": { ...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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