Can an AI Agent Run Your Mass Spec Pipeline? Benchmarking the PyOpenMS Skill
A reproducible 250-run study of feature detection, adduct grouping, quantification, and identification, run by an AI agent with and without the pyOpenMS skill.
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10 K-Dense articles on Skills — research automation, benchmarks, and case studies from the K-Dense team.
A reproducible 250-run study of feature detection, adduct grouping, quantification, and identification, run by an AI agent with and without the pyOpenMS skill.
A reproducible study of pKa, logD, tautomers, ADME, and docking run by an AI agent with the Rowan skill, measured against RDKit and experimental ground truth.
One Agent Skill gives a research agent 78 public scientific and economic databases. Here is the design argument, with real token and routing benchmarks.
Our new open source methodology makes AI research agents pre-register hypotheses, work reproducibly, and verify before they claim. Pre-registration over TDD.
Exa is now integrated into K-Dense's Scientific Agent Skills library, bringing neural web search and URL extraction to AI-driven scientific research.
mimeo distills how great minds like Jobs, Buffett, and Wittgenstein reason into a SKILL.md or AGENTS.md your agent can load, with 80+ experts ready today.
Skills are executable research code with a personality. A practical guide to prompt-injection risks, poisoned SKILL.md files, auditing, and version pinning.
Pair NVIDIA OpenShell's policy-governed runtime with Scientific Agent Skills to run autonomous research agents that are highly capable and genuinely safe.
The optimize-for-gpu skill rewrites CPU-bound Python for NVIDIA GPUs across 12 libraries in data science, ML, and simulation, with 58x average speedup.
Agent Skills close the gap between raw AI intelligence and domain expertise, adding 140 open-source capabilities to AI scientific research workflows.