Converts written content into speech-ready scripts by applying a 3-5x compression ratio while preserving functional value. The core insight is that listeners can't skim, so you front-load the most relevant information and offer expansion points instead of exhaustive delivery. It parses intent signals (problem-solving, learning, decision-making) and context cues (urgency, experience level) to determine what to keep and what to cut. Use this when you're adapting documentation for podcasts, voice assistants, or presentations. The anti-patterns section is honest about common mistakes like reading written prose aloud unchanged or burying action items after lengthy context. Think of it as a compression algorithm that understands listener constraints rather than just word count reduction.
npx skills add https://github.com/jwynia/agent-skills --skill speech-adaptation