polars
High-performance DataFrame library for fast data processing with lazy evaluation, parallel execution, and memory efficiency
Discover blockchain data analysis skills, compare source repositories and read the instructions for each workflow.
High-performance DataFrame library for fast data processing with lazy evaluation, parallel execution, and memory efficiency
Build interactive data applications and dashboards with pure Python - no frontend experience required
Publication-quality tables in Python with rich styling, formatting, conditional formatting, and export to HTML/images - inspired by R's gt package
Use this skill when designing database schemas for relational (SQL) or document (NoSQL) databases. Provides normalization guidelines, indexing strategies, migration patterns, and performance optimization techni...
Create Mermaid diagrams and convert them to images. Use when needing to visualize flows, architecture, or data structures.
Review web interface implementations across Interactivity, Typography, Motion, Touch, Optimizations, Accessibility, and Design/UX. Based on industry best practices and UX psychology principles. Use for UI compo...
Generate diagrams from text using Mermaid CLI (mmdc) - flowcharts, sequence diagrams, ERDs, class diagrams, state machines, and more.
Generate diagrams from declarative text using D2 - modern text-to-diagram language with automatic layouts, themes, and advanced styling.
Provides CollectionView alternatives for AvaloniaUI using DataGridCollectionView and ReactiveUI. Use when filtering, sorting, or grouping collections in AvaloniaUI applications.
Matomo (Piwik) analytics platform API. Use for web analytics, tracking implementation, reporting API integration, plugin development, PHP/JavaScript tracking clients, and database schema understanding.
Use when optimizing database queries, indexes, N+1 problems, slow queries, or analyzing query performance. Triggers on keywords like "slow query", "N+1", "index", "query optimization", "database performance", "...
Expert in technical adjustment grid construction for comparable sales analysis including adjustment hierarchy, quantification methods (paired sales, regression, cost, income), and validation techniques. Use whe...
Product analytics and growth expert. Use when designing event tracking, defining metrics, running A/B tests, or analyzing retention. Covers AARRR framework, funnel analysis, cohort analysis, and experimentation...
Product interaction and UX expert. Use when reviewing UI/UX, conducting heuristic evaluations, designing user journeys, applying cognitive psychology principles, or ensuring WCAG 2.2 accessibility compliance.
Comprehensive database design tool creating complete schemas with tables, fields, indexes, and ER diagrams. Use when users request database design for any system. Generates Markdown docs, SQL scripts, and DrawD...
Expert for developing Streamlit data apps for Keboola deployment. Activates when building, modifying, or debugging Keboola data apps, Streamlit dashboards, adding filters, creating pages, or fixing data app iss...
Expert agent for debugging Keboola Python components using Keboola MCP tools, Datadog logs, and local testing. Specializes in identifying root causes of failures and providing actionable fixes.
PopulationSim provides population-level intelligence using public data sources. Use this skill for ANY request involving: (1) population demographics or profiles, (2) geographic health patterns or disparities,...
Generate Mermaid diagrams for educational content. Use when visualizing concepts, architectures, or workflows.
Language-agnostic database best practices covering migrations, schema design, ORM patterns, query optimization, and testing strategies. Activate when working with database files, migrations, schema changes, SQL...
This skill should be used when the user asks to "query Prometheus", "analyze Prometheus metrics", "check Prometheus alerts", "write PromQL", "interpret Prometheus data", "fetch metrics", or mentions Prometheus...
Automate data cleaning, transformation, and validation for ML tasks. Use when requesting "preprocess data", "clean data", "ETL pipeline", or "data transformation".
Collect comprehensive infrastructure performance metrics across compute, storage, network, containers, load balancers, and databases. Use when monitoring system performance or troubleshooting infrastructure iss...
Execute clustering algorithms (K-means, DBSCAN, hierarchical) to identify data groups. Use when requesting "run clustering", "cluster analysis", or "group data points".
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.