Does this skill help with performance benchmarking?

Yes, the process includes specific steps to profile the naive implementation to determine if an optimized version is even necessary, preventing unnecessary complexity.

What is the Naive-Then-Optimize strategy?

It is a development pattern where you implement the simplest, most obviously correct solution first to serve as a benchmark for a later, more complex, and highly optimized version.

How does this skill ensure the optimized code is correct?

It guides Claude to generate cross-comparison tests that run the same inputs through both the naive and optimized functions to ensure their outputs match perfectly.

When is it best to use this Claude skill?

Use this skill for algorithm implementations, complex data parsers, and any critical logic where a bug in an optimized path could cause significant issues.

Why should I write a slow version of code first?

Simple versions are easier to verify and debug. They provide a reliable 'ground truth' or oracle to test your optimized code against, ensuring that performance gains don't come at the cost of correctness.

Naive-Then-Optimize Coding Strategy

Name: Naive-Then-Optimize Coding Strategy
Author: rahulsub

byrahulsub

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セキュリティとテスト

Implements a robust workflow that prioritizes algorithmic correctness through naive implementations before applying performance optimizations.

The Naive-Then-Optimize skill helps developers avoid the traps of premature optimization and complex logic bugs by enforcing a disciplined two-stage development process. By first guiding Claude to build a 'naive' but obviously correct solution to act as a reference oracle, the skill enables the generation of highly optimized versions that are automatically verified against the original behavior. This approach is particularly effective for complex algorithms, data transformations, and critical code paths where correctness is more important than initial cleverness.

主な機能

01Performance profiling and execution time measurement

02Property-based testing for high-stakes logic

03Behavioral parity verification between code versions

04Automated naive-to-optimized code transformation

051 GitHub stars

06Test suite generation based on naive reference implementations

ユースケース

01Developing complex sorting, searching, or graph algorithms

02Refactoring legacy code for performance without introducing regressions

03Building reliable and verifiable data transformation pipelines

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add rahulsub/code-practices-plugin naive-then-optimize

For use in Claude.ai and ChatGPT

Download Skill