principal-scientist

What problem does it solve?

This Skill manages complex research portfolios by coordinating multiple parallel research tracks, ensuring strategic alignment, preventing duplication, and integrating continuous benchmarking.

Core Features & Use Cases

• Portfolio Orchestration: Manages multiple 'Lead Researcher' agents, each pursuing a distinct research hypothesis or track.
• Parallel Execution: Enables simultaneous exploration of competing hypotheses or independent research problems.
• Continuous Benchmarking: Integrates with 'Auto-Benchmark' to validate research gains against live leaderboards.
• Use Case: A research lab has a broad objective to improve AI model efficiency. The Principal Scientist can spawn three 'Lead Researcher' agents to explore different architectural approaches (e.g., attention mechanisms, sparse models, data augmentation) concurrently, while 'Auto-Benchmark' continuously monitors their performance against industry benchmarks.

Quick Start

Use the principal-scientist skill to manage a portfolio of research tracks, starting with the mission to explore three competing hypotheses for improving model inference speed.