auto-benchmark

What problem does it solve?

This Skill automates the entire process of benchmarking, from monitoring competitors and ingesting research to running experiments and defending a #1 rank, minimizing manual intervention.

Core Features & Use Cases

• Continuous Monitoring: Tracks competitor performance and leaderboards automatically.
• Automated Research Ingestion: Scans academic papers and technical blogs for relevant techniques.
• Hypothesis Generation & Experimentation: Creates and runs experiments to improve performance.
• Automated Promotion: Promotes successful configurations based on strict criteria.
• Use Case: An ML research team can use this Skill to ensure their model consistently stays ahead of competitors on key performance benchmarks, freeing up researchers to focus on novel work.

Quick Start

Use the auto-benchmark skill to set up a continuous, automated benchmarking system that tracks competitor performance and ingests the latest research.