Total 50,510 skills, Data Processing has 2560 skills
Showing 12 of 2560 skills
Generate, optimize, and explain SQL queries with best practices. Use when writing database queries or optimizing SQL performance.
Chart selection, data viz accessibility, and dashboard patterns. Use when building charts, graphs, or data dashboards.
Configure Spice.ai in-memory caching for SQL query results, search results, and embeddings. Use when setting up caching, tuning cache TTL/size/eviction, configuring stale-while-revalidate, custom cache keys, or cache-control headers.
Shipp is a real-time data connector. Use it to fetch authoritative, changing external data (e.g., sports schedules, live events) via the Shipp API.
How to read and query onchain data — events, The Graph, indexing patterns. Why you cannot just loop through blocks, and what to use instead.
Data analysis, SQL queries, BigQuery operations, and data insights. Use for data analysis tasks and queries.
Retention Calculator - Auto-activating skill for Data Analytics. Triggers on: retention calculator, retention calculator Part of the Data Analytics skill category.
Build and interpret polygenic risk scores (PRS) for complex diseases using GWAS summary statistics. Calculates genetic risk profiles, interprets PRS percentiles, and assesses disease predisposition across conditions including type 2 diabetes, coronary artery disease, and Alzheimer's disease. Use when asked to calculate polygenic risk scores, interpret genetic risk for complex diseases, build custom PRS from GWAS data, or answer questions like "What is my genetic predisposition to breast cancer?"
Comprehensive metabolomics research skill for identifying metabolites, analyzing studies, and searching metabolomics databases. Integrates HMDB (220k+ metabolites), MetaboLights, Metabolomics Workbench, and PubChem. Use when asked to identify or annotate metabolites (HMDB IDs, chemical properties, pathways), retrieve metabolomics study information from MetaboLights (MTBLS*) or Metabolomics Workbench (ST*), search for studies by keywords or disease, or generate comprehensive metabolomics research reports.
Comprehensive multi-omics disease characterization integrating genomics, transcriptomics, proteomics, pathway, and therapeutic layers for systems-level understanding. Produces a detailed multi-omics report with quantitative confidence scoring (0-100), cross-layer gene concordance analysis, biomarker candidates, therapeutic opportunities, and mechanistic hypotheses. Uses 80+ ToolUniverse tools across 8 analysis layers. Use when users ask about disease mechanisms, multi-omics analysis, systems biology of disease, biomarker discovery, or therapeutic target identification from a disease perspective.
Transform GWAS signals into actionable drug targets and repurposing opportunities. Performs locus-to-gene mapping, target druggability assessment, existing drug identification, safety profile evaluation, and clinical trial matching. Use when discovering drug targets from GWAS data, finding drug repurposing opportunities from genetic associations, or translating GWAS findings into therapeutic leads.
Use when creating or reviewing TradingView Pine Script v6 indicators/strategies/libraries, applying non-repainting best practices, generating Pine Script from other languages, or running Pine Script linting.