Generate structured learning paths for programming libraries based on your experience level, providing progressive topics and resources for effective skill development.
Generate a structured learning path for any programming library based on your experience level. Ideal for beginners, intermediates, or advanced users to progressively master topics with curated resources.
Create before-and-after code examples for learning topics to illustrate concepts like 'Feature Envy' or 'DRY Principle' in a specified programming language, enhancing technical coaching sessions.
A learning-focused MCP server that demonstrates how to build arithmetic tools for AI assistants, currently featuring addition functionality with structured input/output.
Web scraper and token compressor that converts HTML to clean markdown with 70-80% fewer tokens. Single-page compression and multi-page BFS crawling with auto-fallback fetch modes.
LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.