Data

Organizes FEMA eBFE/BLE model downloads into standardized 4-folder structure (HMS Model, RAS Model, Spatial Data, Documentation). Handles variable archive patterns, nested zips, and generates reusable Python functions. Includes DSS validation and compute test suggestions for hydraulic engineering workflows.

Provides two SQL-based funnels for analyzing user conversion and drop-off points in messaging platforms. Includes standard 28-day and onboarding 7-day funnels with clear step definitions for engagement metrics like message counts and active days.

Provides DCF analysis, Monte Carlo simulations, and sensitivity testing for investment decisions. Generates Excel workbooks with financial projections, valuation summaries, and risk metrics. Supports corporate valuation, project finance, and M&A analysis with built-in quality checks.

This skill provides local data transformation using pandas and numpy, compatible with any LLM. It covers cleaning, normalization, reshaping, and feature engineering with practical code examples and troubleshooting guidance.

FlowIO parses FCS files (versions 2.0-3.1) used in flow cytometry. It extracts event data as NumPy arrays, reads metadata and channel information, and can convert data to CSV or DataFrame formats. The skill handles problematic files with offset errors and supports creating new FCS files from processed data.

Provides guidance for using LaminDB, an open-source Python framework for managing biological data with FAIR principles. Covers data versioning, ontology annotation, workflow tracking, and deployment across local and cloud environments. Includes specific code examples for common operations like artifact creation, querying, and lineage visualization.

A progressive web scraping skill that attempts four methods in sequence: built-in WebFetch, curl with headers, browser automation, and finally a paid Bright Data service. It handles bot detection and JavaScript-heavy sites by escalating through increasingly capable tiers.

This skill enables Claude to query STRING database for protein-protein interactions, build network graphs with pyPPI, and generate styled visualizations for gene lists. It provides step-by-step instructions for species selection, metadata assignment, and troubleshooting common issues like API rate limits.

This skill provides comprehensive guidance for using Zarr, a Python library for chunked N-dimensional array storage. It covers array creation, chunking strategies, compression options, cloud integration, and common troubleshooting patterns for scientific computing workflows.

This skill provides detailed guidance on selecting and implementing dbt materialization strategies. It covers ephemeral, view, table, incremental, snapshot, and Python models with concrete examples, decision matrices, and practical implementation advice for data engineers working with dbt.

A CLI tool for LanceDB that handles document ingestion, semantic search, and table management with multi-modal support for text and images. Provides MCP server integration for Claude Desktop, multiple embedding model options, and metadata filtering capabilities.

This skill provides programmatic access to NCBI's GEO database for gene expression data. It enables searching, downloading, and parsing microarray and RNA-seq datasets using GEOparse and Biopython. The documentation covers data organization, search patterns, file formats, and includes practical code examples for common bioinformatics workflows.