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 language-specific profilers.