python-performance-optimization
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
process-architect-bpmn
Create BPMN process maps and analyses from transcripts, event logs, or connector data. Use when asked for process discovery, variants/bottlenecks, or BPMN outputs (Camunda 7/8, Mermaid, PlantUML, or generic BPMN XML).
code-profiler
Use when asked to profile Python code performance, identify bottlenecks, measure execution time, or analyze function call statistics.
ctx:performance
Analyze and optimize parallel workflow performance. Use when users report slow parallel execution, want to improve speed, or need performance analysis. Activate for questions about bottlenecks, time savings, optimization opportunities, or benchmarking parallel workflows.
performance-optimization
Performance profiling, optimization techniques, and bottleneck identification. Use when addressing performance issues or optimizing systems.
