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
{
"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
{
"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 language-specific profilers.