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scArches single-cell deep learning reference atlas framework - 100% coverage documentation (26 HTML files, including full API, tutorials, model training, and multi-modal integration)
Teleports the agent to a specified room within the ScienceWorld environment. Use this skill when the target object or location for a task is known to be in a different room, enabling efficient navigat…
This skill observes the state of an active apparatus and its contents to track progress. It should be triggered periodically during a heating or reaction process to check for state changes (e.g., soli…
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working…
Diffusion-based molecular docking. Predict protein-ligand binding poses from PDB/SMILES, confidence scores, virtual screening, for structure-based drug design. Not for affinity prediction.
Access and analyze comprehensive drug information from the DrugBank database including drug properties, interactions, targets, pathways, chemical structures, and pharmacology data. This skill should b…
Access Human Metabolome Database (220K+ metabolites). Search by name/ID/structure, retrieve chemical properties, biomarker data, NMR/MS spectra, pathways, for metabolomics and identification.
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
Drescher's computational theory of causal learning
This skill selects and focuses on a specific object to signal task intent or prepare it for manipulation. It is triggered after identifying a target object that meets task criteria (e.g., a living thi…
This skill introduces deliberate pauses in task execution. It should be triggered when the agent needs to consider next steps, evaluate intermediate results, or wait for processes to complete. The ski…
Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment …
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, dev…
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEm…
Automated LLM-driven hypothesis generation and testing on tabular datasets. Use when you want to systematically explore hypotheses about patterns in empirical data (e.g., deception detection, content …
Comprehensive biosignal processing toolkit for analyzing physiological data including ECG, EEG, EDA, RSP, PPG, EMG, and EOG signals. Use this skill when processing cardiovascular signals, brain activi…
Analyzes room observations to identify potential living things (e.g., eggs, plants, animals) among listed objects. Processes observation text, flags candidate living items based on domain knowledge, a…
This skill determines the most likely location for a target object based on domain knowledge and environmental clues. Trigger this when the agent needs to find a specific item (like an animal) but it …
Uses a tool from inventory on a target object or location to perform a specific environmental interaction, such as digging or cutting. Activate this skill when a task requires modifying the environmen…
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet be…
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet be…
Access Human Metabolome Database (220K+ metabolites). Search by name/ID/structure, retrieve chemical properties, biomarker data, NMR/MS spectra, pathways, for metabolomics and identification.
Spectral similarity and compound identification for metabolomics. Use for comparing mass spectra, computing similarity scores (cosine, modified cosine), and identifying unknown compounds from spectral…
Neuropixels neural recording analysis. Load SpikeGLX/OpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen/IBL curation, AI-assisted visual analysis, for Neuro…