Each one starts with a bottleneck someone in the lab actually had. Software and models first; the research projects behind them follow.
Nine agent skills behind one entry point that turn a vague enterprise AI request into a project plan you can defend: evidence first, human sign-off last.
An AI agent that lets bench scientists run TCR and antibody sequencing pipelines on a shared HPC cluster by describing what they need in plain language.
A protein language model that ranks T-cell receptors by the disease they likely recognize, so the lab screens a short list instead of a whole repertoire.
Read the case study: TCR Pathology ClassifierSource on GitHub
Twenty-one open-source agent skills that walk a project from idea to release — research, PRD, spec, design, test-driven build, and retrospective — with real stop points.
Read the case study: Full-Chain Development SkillsSource on GitHub
Following two cell therapies through tissues and time to learn why one of them does better in solid tumors — and which checkpoint each one needs.
