Total 53,974 skills, Data Processing has 2767 skills
Showing 12 of 2767 skills
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.
Implements Syncfusion WinForms SfDataGrid component for displaying and managing tabular data in Windows Forms applications. Use this when working with data grids, column management (auto-generation, stacked headers), data operations (filtering, sorting, grouping), or grid editing with validation. The skill covers data summaries, selection modes, export capabilities (Excel/PDF), conditional styling, master-detail views, and drag-and-drop functionality.
Get verified emails and phones for contacts found by people-search. Takes LinkedIn profiles from the Extruct people table and enriches them via contact enrichment providers like Prospeo or Fullenrich. Supports single-provider and waterfall modes. Outputs a contact CSV ready for email-generation. Triggers on: "get emails", "find emails", "enrich contacts", "email finder", "get phone numbers", "enrich people", "contact enrichment", "verify emails", "email enrichment".
Build investment systems in the style of AQR Capital Management, the quantitative investment firm pioneering factor investing. Emphasizes academic rigor, transparent methodology, and systematic factor exposure. Use when building factor models, conducting asset pricing research, or designing systematic portfolios.
Institutional and TradFi crypto exposure analysis covering public company holdings (MicroStrategy, Tesla, etc.), Bitcoin and Ethereum ETF flows, and institutional accumulation patterns. Use when the user asks about institutional adoption, ETF flows, corporate treasuries, what institutions are buying, or MicroStrategy holdings.
Data management skill. It provides capabilities of querying, creating, updating and deleting form data. It is triggered when users need to "query data", "create data", "update data" or "delete data".
Aggregate and rank signals from multiple edge-finding skills (edge-candidate-agent, theme-detector, sector-analyst, institutional-flow-tracker) into a prioritized conviction dashboard with weighted scoring, deduplication, and contradiction detection.