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speedrun

Analyze codebases to reduce bundle sizes and improve build times.

Updated Aug 27, 2026
Search Tags:#code quality#performance#optimization#bundle size#developer productivity#build tools
One-click install
npx skills add https://github.com/wilrf/wilrf-marketplace --skill speedrun
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: speedrun
Source: https://github.com/wilrf/wilrf-marketplace/tree/main/plugins/speedrun/skills/speedrun
Command: npx skills add https://github.com/wilrf/wilrf-marketplace --skill speedrun

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses performance bottlenecks in codebases, aiming to reduce bundle sizes, improve build times, and eliminate code bloat through systematic analysis and optimization.

Core Features & Use Cases

  • Performance Analysis: Identifies performance issues across various layers of an application.
  • Optimization Strategies: Employs parallel hunters to find and suggest fixes for optimization opportunities.
  • Verification: Ensures all optimizations are measured and verified before and after implementation.
  • Use Case: Use this skill when your application's load times are too slow, or your build process takes an excessive amount of time.

Quick Start

Use the speedrun skill to optimize the codebase performance.

Frequently Asked Questions about speedrun

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I reduce bundle size and improve build times for a slow application?▼

You can reduce bundle size and improve build times by launching parallel optimization hunters that analyze your code structure and tech stack to apply fixes, using mandatory before and after verification to ensure measurable improvements.

What is code bloat and how does it impact application load times?▼

Code bloat is unnecessary or redundant code that inflates bundle sizes and slows application load times. Systematic performance analysis identifies these bottlenecks across various application layers to eliminate them and improve build metrics.

How do I verify that code optimizations actually improve performance?▼

You verify code optimizations by measuring application metrics before and after implementation. The speedrun skill mandates this before and after verification to guarantee that bundle size reductions and build time improvements are measurable and effective.

Can I optimize build performance across different layers of my tech stack?▼

Yes, you can optimize build performance across different layers by analyzing your specific tech stack and code structure. The optimization process identifies fixes for various application layers to systematically reduce bundle sizes and improve build times.

What's the best way to eliminate code bloat when build process takes excessive time?▼

The best way to eliminate code bloat during slow build processes is to employ parallel optimization strategies that systematically analyze the codebase, identify performance bottlenecks, and apply verified fixes to reduce overall bundle sizes.

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