Notes2Skills: From Lab Notebooks to Certainty-Aware Scientific Agent Skills

arXiv:2606.11897 · cs.CL · Submitted 2026-06-10 · Read on arXiv

cs.CL

Submitted: 2026-06-10

Updated: 2026-09-15

Comments: Extended technical report; accepted to Findings of EMNLP 2026

Code: https://github.com/anthropics/skills

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 15× in this paper · explained in 1 episode
• Calibration — 9× in this paper · explained in 7 episodes
• Provenance — 9× in this paper · explained in 3 episodes
• Trace — 9× in this paper · explained in 2 episodes
• Epistemic Uncertainty — 7× in this paper · explained in 9 episodes
• Agent Skills — 6× in this paper · explained in 1 episode
• Wet Lab Protocol — 6× in this paper
• AI Agents — 5× in this paper · explained in 2 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Core — 5× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Alignment — 4× in this paper · explained in 1 episode
• Failure Modes — 3× in this paper · explained in 3 episodes
• Two-Stage Framework — 3× in this paper · explained in 2 episodes
• Epistemic Directive Extraction — 2× in this paper
• Grounding — 2× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Actionability — 1× in this paper · explained in 3 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Annotator Agreement — 1× in this paper · explained in 1 episode
• Axon Binary Format — 1× in this paper
• Benchmarking — 1× in this paper · explained in 3 episodes
• Calibration Failure — 1× in this paper · explained in 2 episodes
• Data Provenance — 1× in this paper · explained in 2 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Ontology — 1× in this paper · explained in 2 episodes
• Progressive Disclosure — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization
• Voyager: An Open-Ended Embodied Agent with Large Language Models
• CreativeBench: Benchmarking and Enhancing Machine Creativity via Self-Evolving Challenges
• Agent Workflow Memory

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