Total 54,373 skills, Data Processing has 2785 skills
Showing 12 of 2785 skills
Interpret genetic variants (SNPs) from GWAS studies by aggregating evidence from multiple databases (GWAS Catalog, Open Targets Genetics, ClinVar). Retrieves variant annotations, GWAS trait associations, fine-mapping evidence, locus-to-gene predictions, and clinical significance. Use when asked to interpret a SNP by rsID, find disease associations for a variant, assess clinical significance, or answer questions like "What diseases is rs429358 associated with?" or "Interpret rs7903146".
Reading and writing data with Pandas from/to cloud storage (S3, GCS, Azure) using fsspec and PyArrow filesystems.
Expert Clay platform consultant for B2B data enrichment and workflow automation. Use when the user asks about Clay tables, waterfall enrichment, Clay credits, Clay pricing, Claygent, Clayscript formulas, Clay CRM sync, Clay enrichment workflows, Clay integrations, Clay Chrome extension, Clay templates, or building data pipelines in Clay. Also triggers on "Clay workflow", "enrichment waterfall", "Clay credits", "Claygent", "Clayscript", "Clay + HubSpot", "Clay + Salesforce", "Clay table", "Clay providers", "enrich in Clay", "Clay API", "Clay column", "Clay formulas", "find emails", "email waterfall", "phone waterfall", "lead scoring", "Clay debugging". Do NOT use for general CRM questions without Clay context, standalone email tools (Findymail, Hunter), or non-Clay enrichment platforms.
Patterns for building robust, reproducible genomics analysis pipelines. Covers workflow managers, NGS data processing, variant calling, RNA-seq, and common bioinformatics pitfalls. Use when ", " mentioned.
Parse raw text from an Instagram or TikTok Story insights screenshot and format it into a clean, spreadsheet-ready row with labeled fields. This skill should be used when parsing Story metrics from a screenshot, formatting Story insights for a spreadsheet, extracting metrics from a pasted Story screenshot, cleaning up Story analytics data, converting Story insights text into structured data, turning a Story performance screenshot into a row for the tracker, logging Story metrics into a spreadsheet, normalizing Story screenshot data, pulling numbers from a Story insights paste, organizing Story metrics from creator screenshots, processing a batch of Story screenshots into rows, building a Story metrics tracker from screenshots, or entering Story data from a screenshot into a sheet. For normalizing metrics from multiple sources into a unified table, see metrics-normalization-formatter. For calculating engagement rates and comparing to benchmarks, see engagement-rate-calculator-benchmarker.
This skill should be used when the user needs to perform year-end closing adjustments, review financial statements, compute depreciation, or review their trial balance. Trigger phrases include: "year-end settlement", "year-end closing adjustments", "prepare financial statements", "depreciation", "trial balance", "trial balance sheet", "income statement", "balance sheet", "BS", "PL", "period-end processing", "inventory taking", "accrual of unpaid expenses", "prepayment processing"
Web crawling and scraping with analysis. Use for crawling websites, security scanning, and extracting information from web pages.
Arquiteto de Dados especialista em PostgreSQL, Supabase e modelagem multi-tenant para a plataforma PAPO
Data processing expert including parsing, transformation, and validation
Scan multiple symbols with indicator conditions. Find stocks matching RSI oversold, EMA crossovers, Supertrend signals, and custom filter combinations.
Is wallet B copying wallet A? Are these two wallets from the same entity? Uses profiler compare for shared counterparties and tokens, plus labels and PnL for identity.
What is happening with this token right now? Price, Nansen score, smart money flows, top holders, and recent DEX trades.