What is the 'Iron Law' in the Speedrun skill?

The Iron Law states 'No optimization claim without measurement.' Every change suggested or applied by the skill must be validated with before-and-after metrics to prove its efficacy.

What kind of performance issues does Speedrun identify?

It uses specialized agents to target bundle bloat, high cyclomatic complexity, memory leaks, slow database queries, inefficient build configurations, and poor Core Web Vitals.

How does Speedrun prioritize which optimizations to fix first?

It uses an ROI (Return on Investment) score which calculates the ratio of performance impact versus implementation effort, highlighting 'quick wins' for the developer.

Can Speedrun automatically apply fixes to my code?

Yes, it can auto-apply 'safe' fixes such as removing unused imports or deleting dead code. However, 'risky' fixes like algorithm refactors or dependency swaps require developer approval.

Speedrun Performance Optimizer

Name: Speedrun Performance Optimizer
Author: wilrf

bywilrf

0•

生产力与工作流

Optimizes codebase performance and reduces bloat using parallel specialized agents with mandatory metric verification.

Speedrun is a comprehensive optimization framework for Claude Code that dispatches specialized parallel agents to identify and resolve performance bottlenecks across your entire stack. By enforcing a strict policy of mandatory measurement, it ensures every change—from reducing bundle sizes and trimming dead code to refactoring complex algorithms—delivers verifiable improvements. The skill provides a structured workflow that measures baselines, analyzes ROI, and generates detailed SPEEDRUN.md reports, making it an essential tool for developers who need lean, high-performance applications without the guesswork.

主要功能

01Mandatory before-and-after metric verification for every optimization

02ROI scoring to prioritize high-impact, low-effort improvements

03Parallel agent dispatch for multi-layered performance hunting

040 GitHub stars

05Automated SPEEDRUN.md report generation with delta comparisons

06Specialized 'hunters' for bundle size, complexity, memory leaks, and build times

使用场景

01Reducing frontend bundle sizes and improving Core Web Vitals

02Accelerating CI/CD pipelines by identifying build-time bottlenecks

03Eliminating dead code and reducing cyclomatic complexity in legacy projects

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add wilrf/wilrf-marketplace speedrun

For use in Claude.ai and ChatGPT

Download Skill