Use when designing active learning or closed-loop molecular optimization (DMTA cycles). Covers query strategies (UCB/EI/BALD/QBC), batch DPP selection, docking oracles (Vina/Gnina), BEDROC/EF metrics, and Design-Make-Test-Analyze campaign management.
How to install active-learning?
kdevos12/alkyl/active-learning
$npx -y skills add kdevos12/alkyl --skill active-learningInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/kdevos12/alkyl" --skill "kdevos12/alkyl/active-learning"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/kdevos12/alkyl" that are relevant to the current task. Run `npx skills add "https://github.com/kdevos12/alkyl"` and select the relevant skills, then follow their instructions.
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