hoon-optimize-workflow

What problem does it solve?

This Skill addresses slow-running Hoon code by providing a systematic process to identify performance bottlenecks, optimize algorithms and data structures, and implement effective caching strategies.

Core Features & Use Cases

• Profiling: Guides users on how to measure code execution time and identify hot paths.
• Algorithmic Optimization: Helps refactor inefficient algorithms (e.g., O(n²) to O(n log n)).
• Data Structure Tuning: Recommends optimal data structures (Map, Set, Jar) for specific access patterns.
• Caching Strategies: Implements techniques like result caching, request deduplication, and LRU caches.
• Use Case: Optimize a slow Gall agent by using this Skill to profile its execution, identify a nested loop causing O(n²) complexity, refactor it to use a Map for O(log n) lookups, and implement a cache for frequently accessed data.

Quick Start

Begin the Hoon performance optimization workflow by profiling your code to identify bottlenecks.