10 skills found
Organizes, queries, validates, and converts Brain Imaging Data Structure (BIDS) datasets. Supports 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.
Use Geniml for audited local genomic-interval workflows: validate BED and universe contracts, plan Region2Vec or scEmbed runs, inspect model/tokenizer compatibility, and assess consensus universes.
Format and structurally validate local treatment-plan documentation after clinical decisions have already been supplied and verified by authorized licensed professionals. Use for source traceability, clinician-authored intervention records, goals and checkpoints, shared-decision records, reconciliation handoffs, and release gates—not for clinical decision-making.
Schema validation with Valibot, the modular and type-safe schema library. Use when the user needs to validate data, create schemas, parse inputs, or work with Valibot in their project. Also use when migrating from Zod to Valibot.
Shuffle repetitive JSON objects safely by validating schema consistency before randomising entries.
This skill should be used when the user asks to "validate data structures", "check save format", "update config options", or discusses data persistence. Also use when modifying FavoritesModel.cs, ModConfig.cs, modData conventions, JSON save files, or when preparing migrations for breaking changes.
Validate data structures, user inputs, and loaded content to ensure the static website operates correctly. Use this skill when verifying JSON data integrity, validating form inputs, and ensuring DOM elements exist before manipulation.
Validate generated schedules for ACGME compliance, coverage gaps, and operational viability. Use when verifying schedule integrity before deployment or investigating schedule issues.
Ocean science expert covering physical, chemical, biological, and geological oceanography
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
