lift

What problem does it solve?

This Skill helps developers improve latency, throughput, and memory usage of algorithmic and systems-level code, preserving correctness with measurable comparisons.

Core Features & Use Cases

• Aggressive, measurement-driven optimization of hot code paths.
• Define contracts, baseline, profiling, and controlled experiments.
• Use for latency reduction, throughput increases, memory efficiency, or GC improvements in production services, libraries, or benchmarks.
• Use Case: You have a service with P95 latency spikes; apply lift to identify bottlenecks, benchmark improvements, and ship with guards.

Quick Start

Run a baseline measurement, identify bottlenecks, and iteratively apply targeted optimizations following the optimization ladder described in the playbook.