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Found 331 Skills
Use when the user wants to create a dataset, generate synthetic data, or build a data generation pipeline.
Use this skill when working with Brain Imaging Data Structure (BIDS) datasets: organizing neuroscience and biomedical data (MRI, EEG, MEG, iEEG, PET, microscopy, NIRS, motion capture, EMG, MR spectroscopy, behavioral), querying BIDS layouts, validating compliance, converting DICOM to BIDS, writing metadata sidecars, or creating BIDS derivatives.
Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows.
Use this skill when working with scientific research tools and workflows across bioinformatics, cheminformatics, genomics, structural biology, proteomics, and drug discovery. This skill provides access to 600+ scientific tools including machine learning models, datasets, APIs, and analysis packages. Use when searching for scientific tools, executing computational biology workflows, composing multi-step research pipelines, accessing databases like OpenTargets/PubChem/UniProt/PDB/ChEMBL, performing tool discovery for research tasks, or integrating scientific computational resources into LLM workflows.
Identify non-obvious signals, hidden patterns, and clever correlations in datasets using investigative data analysis techniques. Use when analyzing social media exports, user data, behavioral datasets, or any structured data where deeper insights are desired. Pairs with personality-profiler for enhanced signal extraction. Triggers on requests like "what patterns do you see", "find hidden signals", "correlate these datasets", "what am I missing in this data", "analyze across datasets", "find non-obvious insights", or when users want to go beyond surface-level analysis. Also use proactively when you notice interesting anomalies or correlations during any data analysis task.
Retrieves gene expression and omics datasets from ArrayExpress and BioStudies with gene disambiguation, experiment quality assessment, and structured reports. Creates comprehensive dataset profiles with metadata, sample information, and download links. Use when users need expression data, omics datasets, or mention ArrayExpress (E-MTAB, E-GEOD) or BioStudies (S-BSST) accessions.
Use when exporting data for ad platforms (Google Ads, Meta) or working with project datasets. Documents exact CSV formats for Enhanced Conversions, Customer Match, and project data schemas.
Testing framework for evaluating Databricks skills. Use when building test cases for skills, running skill evaluations, comparing skill versions, or creating ground truth datasets with the Generate-Review-Promote (GRP) pipeline. Triggers include "test skill", "evaluate skill", "skill regression", "ground truth", "GRP pipeline", "skill quality", and "skill metrics".
Design experiment plans with progressive stages — initial implementation, baseline tuning, creative research, and ablation studies. Plan baselines, datasets, hyperparameter sweeps, and evaluation metrics. Use when planning experiments for a research paper.
Unlock the surprising speed of SQLite in Flutter for building responsive UIs, showcasing its ability to handle large datasets with synchronous queries and optimized configurations.
XAF Memory Leak Prevention - event handler symmetry (OnActivated/OnDeactivated/Dispose), ObjectSpace scoped disposal with using statement, batch processing large datasets, IDisposable pattern for controllers with List<IDisposable> tracker, WeakEventSubscription, static reference anti-patterns, CollectionSource disposal, Session/HttpContext/Application anti-patterns (WebForms), ObjectSpacePool, controller lifecycle tracking, NavigationMonitor, warning signs, diagnostic tools (dotMemory, PerfView, XAF Tracing). Use when diagnosing memory leaks, auditing controller disposal, reviewing ObjectSpace lifetime, or reviewing Session usage in DevExpress XAF applications.
Implements Syncfusion WPF DataPager (SfDataPager) for paginating large datasets in WPF applications. Use this when implementing pagination controls, page navigation, or splitting large data into manageable chunks. Supports configurable page sizes, navigation buttons, numeric page buttons, and works with DataGrid, ListBox, ListView, and ItemsControl.