Total 50,522 skills, Data Processing has 2561 skills
Showing 12 of 2561 skills
Mooring system design, analysis, and assessment for floating offshore platforms
JSON flat view, schema inference, and edit tool. Use when the user provides a JSON file or data and wants to explore its structure, infer its schema, or modify fields. Triggers on: view json, edit json, json schema, json structure, set json field, jstool, analyze json, flat view, orderbook, json flat.
Audio forensics and voice recovery guidelines for CSI-level audio analysis. This skill should be used when recovering voice from low-quality or low-volume audio, enhancing degraded recordings, performing forensic audio analysis, or transcribing difficult audio. Triggers on tasks involving audio enhancement, noise reduction, voice isolation, forensic authentication, or audio transcription.
Shatter compromised calibration and rebuild from ground truth.
Use when user wants to extract text from ebooks (EPUB, MOBI, PDF). Use for converting ebooks to plain text for analysis, processing, or reading. Handles all common ebook formats.
Manage Jupyter notebooks — create, execute cells, manage kernels via the container's Jupyter Server REST API.
Walk Claude through PyDESeq2-based differential expression, including ID mapping, DE testing, fold-change thresholding, and enrichment visualisation.
Turn bulk RNA-seq cohorts into synthetic single-cell datasets using omicverse's Bulk2Single workflow for cell fraction estimation, beta-VAE generation, and quality control comparisons against reference scRNA-seq.
Execute use when you need to work with query optimization. This skill provides query performance analysis with comprehensive guidance and automation. Trigger with phrases like "optimize queries", "analyze performance", or "improve query speed".
Performance attribution: Brinson (allocation/selection/interaction), factor-based attribution, fixed-income attribution.
Build interactive data applications and dashboards with pure Python - no frontend experience required
Discover genes associated with diseases and traits using GWAS data from the GWAS Catalog (500,000+ associations) and Open Targets Genetics (L2G predictions). Identifies genetic risk factors, prioritizes causal genes via locus-to-gene scoring, and assesses druggability. Use when asked to find genes associated with a disease or trait, discover genetic risk factors, translate GWAS signals to gene targets, or answer questions like "What genes are associated with type 2 diabetes?"