code-profiler

# Code Profiler Skill ## Purpose Profile algorithm implementations to identify performance bottlenecks and optimization opportunities. ## Capabilities - Runtime profiling - Memory profiling - Cache miss analysis - Hot spot identification - Optimization suggestions - Comparative benchmarking ## Target Processes - code-level-optimization - complexity-optimization - memory-optimization ## Profiling Dimensions ### Time Profiling - Function-level timing - Line-by-line profiling - Call graph analysis - Hot spot detection ### Memory Profiling - Heap allocation tracking - Memory leak detection - Peak memory usage - Allocation patterns ### Cache Analysis - Cache miss rates - Memory access patterns - Data locality issues ## Input Schema ```json { "type": "object", "properties": { "code": { "type": "string" }, "language": { "type": "string" }, "profileType": { "type": "string", "enum": ["time", "memory", "cache", "all"] }, "testInput": { "type": "string" }, "iterations": { "type": "integer", "default": 1 } }, "required": ["code", "profileType"] } ``` ## Output Schema ```json { "type": "object", "properties": { "success": { "type": "boolean" }, "timing": { "type": "object" }, "memory": { "type": "object" }, "hotSpots": { "type": "array" }, "recommendations": { "type": "array" } }, "required": ["success"] } ``` ## Integration Can integrate with profiling tools like gprof, perf, Valgrind, cProfile, and ...