benchmark-loop

Community

Self-optimizing AI agent benchmark runner.

Author0x0funky
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill automates the entire process of benchmarking AI agents, from designing the team and running tests to analyzing results and optimizing the framework, enabling continuous self-improvement without manual intervention.

Core Features & Use Cases

  • Fully Automated Benchmarking: Runs end-to-end performance tests for AI agents.
  • Team Design & Configuration: Intelligently selects team composition based on project prompts.
  • Iterative Optimization: Analyzes results and modifies framework code to improve performance over multiple cycles.
  • Use Case: Continuously improve the performance and efficiency of your AI engineering team by letting this Skill automatically test, analyze, and refine their workflows and underlying framework.

Quick Start

Use the benchmark-loop skill to start an automated benchmark for a project described as 'Build a real-time chat application'.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: benchmark-loop
Download link: https://github.com/0x0funky/vibehq-hub/archive/main.zip#benchmark-loop

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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