experiment-loop

What problem does it solve?

This Skill streamlines the entire research experiment process, from initial hypothesis design to final memory updates, ensuring reproducible and well-documented scientific inquiry.

Core Features & Use Cases

• Hypothesis-driven Experimentation: Guides the user through defining a testable hypothesis and designing corresponding experiments.
• Automated Workflow: Manages the execution of experiments, including sanity checks, full runs, and synthesis of results.
• Research Logging: Automatically updates research logs and memory with findings and next steps.
• Use Case: A researcher wants to test a new multi-agent governance strategy. They input their hypothesis, and the skill helps design the sweep matrix, runs the simulation, synthesizes the results, and logs the findings.

Quick Start

Use the experiment-loop skill to run the full experiment lifecycle for the hypothesis "Agent communication improves task completion in multi-agent systems".