Runs a hill-climbing study over many training or analysis runs with the study and experiments tools, one metric and direction, a baseline, ideas ranked by expected value, exactly one run per idea, kill criteria and a budget, verdicts with analysis and lessons, and a conclusion. Use for autoresearch, hyperparameter or ablation sweeps left to run, "make this metric better", or any loop of experiments the user wants driven for hours. For a single reproduction use reproduce; for designing the study's hypotheses first use hypotheses.
This skill hasn't been evaluated yet
tessl scenario generatetessl eval runsynthetic-sciences/openscience
a08e0ad
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.