Data

This skill provides programmatic access to the European Nucleotide Archive for retrieving DNA/RNA sequences, raw reads, and genome assemblies. It documents multiple REST APIs, FTP access, and includes practical examples for common bioinformatics workflows with rate limiting guidance.

A specialized agent for designing and implementing data pipelines and infrastructure. It covers ETL/ELT processes, data lake/warehouse design, stream processing, and cost optimization using tools like Spark, Airflow, dbt, Kafka, Snowflake, and Databricks. It follows a structured workflow from architecture analysis to implementation.

This skill orchestrates marketing data collection from multiple platforms (Google Ads, Meta, email services), transforms raw metrics into calculated KPIs, and generates aggregated reports. It handles data validation, anomaly detection, and scheduled refreshes, outputting structured files for analysis.

This skill provides comprehensive guidance for working with AnnData objects in Python, covering creation, I/O operations, concatenation, and integration with tools like Scanpy. It includes practical examples for single-cell genomics workflows, error handling, and common pitfalls. The documentation is detailed with clear code snippets for real-world tasks.

This skill helps developers write and optimize database queries across SQL and NoSQL systems. It provides examples for PostgreSQL, MySQL, MongoDB, and others, covering query patterns, performance analysis, and common anti-patterns. It's useful for debugging slow queries and learning best practices.

A data analyst skill that provides structured workflows for SQL querying, dashboard creation, and statistical analysis. It includes specific checklists for data quality, visualization design, and stakeholder communication. The skill integrates with tools like Tableau, Power BI, and dbt to deliver actionable business insights.

Provides a structured framework for analyzing product usage data with clear templates for executive summaries, metrics tables, pattern analysis, and actionable recommendations. Guides users through defining questions, collecting data, and creating comprehensive reports with specific sections and quality checklists.

This skill aggregates data from multiple sources (analytics, CRM, social) to build detailed audience personas and segments. It outputs structured reports with demographics, psychographics, and targeting recommendations. The process is well-defined with clear data sources and persona templates.

This skill provides comprehensive guidance for using GeoPandas to work with geospatial vector data. It covers installation, core concepts, data I/O, CRS management, geometric operations, spatial analysis, and visualization with practical code examples. The documentation includes workflows for common tasks like spatial joins, buffer analysis, and creating choropleth maps.

Provides detailed guidance for working with DICOM medical imaging files using Python's pydicom library. Covers reading/writing files, extracting pixel data, converting formats, handling compression, and modifying metadata. Includes practical code examples for common workflows like anonymization and visualization.

A specialized skill for gathering event data from social media and web sources with clear workflows, structured output, and emphasis on image analysis for comprehensive event research.

This skill provides a structured 5-phase workflow for designing KPI dashboards, from requirements gathering to implementation. It enforces documentation standards for metrics and data sources, includes pressure resistance patterns, and dispatches to a specialized metrics-analyst agent.