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A new free Claude skill called Ponytail just reached 58,000 GitHub stars and 2,900 forks in one week. It reportedly cuts generated code by 54%, lowers cost by 20%, and boosts speed by 27% when integrated into Claude Code.
This article stitches together several Twitter threads: it starts with a plain-English analogy for what model weights are, then shows how to iteratively refine code using Perplexity AI (with a stock portfolio analyzer example), and ends with practical steps for running LLMs locally on Apple Silicon via tools like Ollama.