A prompt engineering functional programming language
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
A CLI tool to convert your codebase into a single LLM prompt with source tree, prompt templating, and token counting.