Speech Adaptation

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.

skills.sh installs: 436
GitHub stars: 182
last updated: Aug 21, 2026

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Install

$ npx -y skills add jwynia/agent-skills --skill speech-adaptation --agent claude-code

Installs into .claude/skills of the current project.

Files

Speech Adaptation

Purpose

Transform comprehensive written content into purposeful spoken guidance. Speech requires 3-5x compression while maintaining functional value. Apply when converting written content to audio, podcasts, presentations, or voice assistant responses.

Core Principle

Lead with value, earn attention. Listeners can't skim. Front-load what matters and offer expansion rather than exhaustive delivery.

Functional Intent Detection

Parse the original question/content for intent:

Intent Type	Signals	Focus
Problem-solving	"How do I..."	Actionable steps
Learning	"What is..."	Core concepts + examples
Decision-making	"Should I..."	Key considerations + recommendation
Troubleshooting	"Why isn't..."	Likely causes + solutions