Total 54,456 skills, Data Processing has 2788 skills
Showing 12 of 2788 skills
Plan a route and return distance + ETA (schema + deterministic result).
Performs quality control on single-cell RNA-seq data (.h5ad or .h5 files) using scverse best practices with MAD-based filtering and comprehensive visualizations. Use when users request QC analysis, filtering low-quality cells, assessing data quality, or following scverse/scanpy best practices for single-cell analysis.
Deep learning for single-cell analysis using scvi-tools. This skill should be used when users need (1) data integration and batch correction with scVI/scANVI, (2) ATAC-seq analysis with PeakVI, (3) CITE-seq multi-modal analysis with totalVI, (4) multiome RNA+ATAC analysis with MultiVI, (5) spatial transcriptomics deconvolution with DestVI, (6) label transfer and reference mapping with scANVI/scArches, (7) RNA velocity with veloVI, or (8) any deep learning-based single-cell method. Triggers include mentions of scVI, scANVI, totalVI, PeakVI, MultiVI, DestVI, veloVI, sysVI, scArches, variational autoencoder, VAE, batch correction, data integration, multi-modal, CITE-seq, multiome, reference mapping, latent space.
Parse, transform, and analyze CSV files with advanced data manipulation capabilities.
Guide for creating Observable Notebooks 2.0, the open-source notebook system for interactive data visualization and exploration. Use this skill when creating, editing, or building Observable notebooks.
Debugs and fixes dbt errors systematically. Use when working with dbt errors for: (1) Task mentions "fix", "error", "broken", "failing", "debug", "wrong", or "not working" (2) Compilation Error, Database Error, or test failures occur (3) Model produces incorrect output or unexpected results (4) Need to troubleshoot why a dbt command failed Reads full error, checks upstream first, runs dbt build (not just compile) to verify fix.
Best practices for SciPy scientific computing, optimization, signal processing, and statistical analysis in Python
Remove Gemini logos, watermarks, or AI-generated image markers using OpenCV inpainting. Use this skill when the user asks to remove Gemini logo, AI watermark, or any logo/watermark from images.
This skill should be used when the user asks about "JungleBus", "transaction streaming", "BSV subscriptions", "real-time blockchain data", "GorillaPool API", or needs to subscribe to blockchain events.
Retrieve ratings snapshot with overall rating and key metric scores including DCF, ROE, ROA, Debt-to-Equity, P/E, and P/B for public companies. Use when screening stocks, comparing quality metrics, or quick fundamental assessment.
Compare key metrics and disclosures between annual 10-K filings using Octagon MCP. Use when analyzing year-over-year changes in financials, risk factors, business descriptions, and strategic priorities across fiscal years.
Retrieve industry-specific P/E ratios using Octagon MCP. Use when comparing company valuations to specific industry peers, analyzing sub-sector valuations, and understanding niche market valuations beyond broad sector averages.