Agent Skills Hub

financial-analyzing

Analyze financial data, calculate key performance metrics like margins and ROI, and generate structured analytical reports.

projection-patterns

Build read models and projections from event streams for CQRS, materialized views, and optimized query performance in event-sourced systems.

Wheels Test Generator

Generate TestBox BDD test specs for Wheels models, controllers, and integration tests. Supports validations, associations, and workflow testing.

mcp-builder

A guide for building high-quality MCP (Model Context Protocol) servers in Python or TypeScript to integrate external APIs and services into LLM workflows.

snowflake-connections

Configure and manage Snowflake connections for CLI, Streamlit, and Snowpark environments, including authentication methods like SSO, key pair, OAuth, and profile management.

structured-outputs-advisor

Expert advisor for implementing Anthropic's structured outputs. Choose between JSON mode and strict tool use for guaranteed schema compliance and validated agentic workflows.

test-reporting-analytics

Advanced QE reporting, quality dashboards, and predictive analytics for test metrics, code coverage, and deployment readiness to drive data-informed quality decisions.

polars

High-performance in-memory DataFrame library for Python and Rust. Features lazy evaluation, parallel execution, and an Apache Arrow backend for efficient ETL, data processing, and faster pandas alternatives.

contract-testing

Implement consumer-driven contract testing for microservices using Pact, schema validation, and API versioning to prevent breaking changes and ensure distributed team coordination.

testing-patterns

Jest testing patterns, factory functions, mocking strategies, and TDD workflow. Use when writing unit tests, creating test factories, or following TDD red-green-refactor cycle.

condition-based-waiting

Replaces arbitrary test timeouts with robust condition-based polling to eliminate flaky tests, race conditions, and timing-dependent failures in software testing suites.

data-visualization

Create professional data visualizations with Python using matplotlib, seaborn, and plotly. Includes chart selection guidance, design principles, accessibility standards, and code patterns for publication-quality figures.