Implementing RAG systems requires coordinating multiple components including embeddings, vector databases, and retrieval pipelines. This workflow provides a structured approach to build production-ready RAG applications.

RAG systems often fail due to poor chunking strategies and naive retrieval. This skill provides expert patterns for semantic chunking, hybrid search, and context optimization to build production-grade retrieval systems.

Struggling with inconsistent AI outputs and unreliable responses. Learn proven prompt engineering patterns that maximize LLM performance, reliability, and controllability.

Create production-ready, accessible design systems with Radix UI primitives. This skill provides patterns for headless component customization, theming strategies, and compound component architecture for React applications.

Develop and backtest algorithmic trading strategies with risk metrics and portfolio optimization. Get actionable insights for quantitative finance without requiring deep expertise in financial modeling.

Writing maintainable tests is challenging. This skill provides comprehensive pytest patterns including fixtures, mocking, parameterization, and TDD workflows to help you build reliable test suites.

Python developers struggle with outdated practices and fragmented tooling knowledge. This skill delivers production-ready expertise in Python 3.12+, modern tooling like uv and ruff, async patterns, and performance optimization in one comprehensive resource.

Slow Python code wastes resources and frustrates users. This skill provides systematic profiling and optimization techniques to identify bottlenecks and improve performance.

Stop copying code patterns without understanding. Learn to make informed Python architecture decisions based on your specific project context, framework needs, and team requirements.

Python developers struggle with complex packaging workflows and inconsistent project structures. This skill provides complete guidance for creating professional Python packages using modern standards like pyproject.toml and setuptools.

This skill provides a comprehensive workflow for building production-ready Python FastAPI backends with database integration, authentication, testing, and deployment patterns.

Setting up Python projects with proper structure and tooling is time-consuming and error-prone. This skill instantly generates complete, production-ready project scaffolds with modern best practices built in.

This skill helps you generate comprehensive pairwise test cases using combinatorial testing techniques. It enables efficient test coverage by identifying the minimum number of test combinations needed to expose defects.

Improve LLM outputs with proven prompt engineering techniques. This skill provides patterns for chain-of-thought reasoning, few-shot learning, and template systems that make AI interactions more reliable and controllable.

Stop struggling with vague AI responses. This skill transforms your rough ideas into precise, framework-optimized prompts that deliver consistent, high-quality results from any AI assistant.

Reduce LLM API costs by up to 90% through strategic prompt caching implementation including Anthropic native caching, response caching, and CAG patterns.

Set up Prometheus for comprehensive metric collection, alerting, and infrastructure monitoring. This skill provides complete configuration guides for scrape targets, recording rules, and alert definitions.

Programmatic SEO can generate thousands of pages but risks thin content penalties if not done correctly. This skill evaluates feasibility and designs scalable page systems that avoid doorway pages and index bloat.

Struggling with query performance in event-sourced systems? This skill provides proven patterns for building efficient read models and projections from event streams.

A comprehensive toolkit for product managers to prioritize features using RICE scoring, analyze customer interviews, and create professional PRD documents. Streamlines product discovery and planning workflows.