Total 53,839 skills, Data Processing has 2767 skills
Showing 12 of 2767 skills
Expert-level Looker BI, LookML, explores, dimensions, measures, dashboards, and data modeling
The market analysis function of Gate Exchange — liquidity, momentum, liquidation, funding arbitrage, basis, manipulation risk, order book explainer, slippage simulation. Use when the user asks about liquidity, depth, slippage, buy/sell pressure, liquidation, funding rate arbitrage, basis/premium, manipulation risk, order book explanation, or slippage simulation (e.g. market buy $X slippage). Trigger phrases: liquidity, depth, slippage, momentum, buy/sell pressure, liquidation, squeeze, funding rate, arbitrage, basis, premium, manipulation, order book, spread, slippage simulation.
Compute technical indicators like RSI, MACD, Bollinger Bands, SMA, EMA for a stock. Use when user asks about technical analysis, indicators, RSI, MACD, moving averages, overbought/oversold, or chart analysis.
Scrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, review quality, and visual strategies to identify competitor moats and vulnerabilities.
Perform RFM (Recency, Frequency, Monetary) customer segmentation analysis on e-commerce data. Use when you need to analyze customer value, identify VIP customers, or create marketing segments. Automatically cleans data, calculates RFM metrics, applies K-means clustering, and generates visualization reports with Chinese language support.
Ingest and transform data files (CSV/JSON/Parquet/Arrow IPC) into Elasticsearch with stream processing, custom transforms, and cross-version reindexing. Use when loading files, batch importing data, or migrating indices across versions — not for general ingest pipeline design or bulk API patterns.
Production-ready single-cell and expression matrix analysis using scanpy, anndata, and scipy. Performs scRNA-seq QC, normalization, PCA, UMAP, Leiden/Louvain clustering, differential expression (Wilcoxon, t-test, DESeq2), cell type annotation, per-cell-type statistical analysis, gene-expression correlation, batch correction (Harmony), trajectory inference, and cell-cell communication analysis. NEW: Analyzes ligand-receptor interactions between cell types using OmniPath (CellPhoneDB, CellChatDB), scores communication strength, identifies signaling cascades, and handles multi-subunit receptor complexes. Integrates with ToolUniverse gene annotation tools (HPA, Ensembl, MyGene, UniProt) and enrichment tools (gseapy, PANTHER, STRING). Supports h5ad, 10X, CSV/TSV count matrices, and pre-annotated datasets. Use when analyzing single-cell RNA-seq data, studying cell-cell interactions, performing cell type differential expression, computing gene-expression correlations by cell type, analyzing tumor-immune communication, or answering questions about scRNA-seq datasets.
Ljung-Box portmanteau tests for model diagnostics and residual analysis
Model free cash flow to evaluate project or business value. Use for investment decisions, valuation, and understanding cash dynamics.
Use this skill when writing regular expressions, debugging pattern matching, optimizing regex performance, or implementing text validation. Triggers on regex, regular expressions, pattern matching, lookahead, lookbehind, named groups, capture groups, backreferences, and any task requiring text pattern matching.
Use when modeling unit economics, calculating burn rate, building financial projections, pricing analysis, revenue forecasting, or any CFO-level financial decisions
Optimize BigQuery compute costs by assigning data models (Dataform, dbt, Airflow) to slot reservations or on-demand compute based on Masthead recommendations.