Voice Optimization

by kangarooking

Voice Optimization is an AI Engineering skill for Claude Code, published by kangarooking in system-prompt-skills.

182 stars40 forkson kangarooking/system-prompt-skillsAdded 2026/09/06+3% in starsRepository updated 2026/05/04

View source on GitHub Download repo ZIP

agent-designagent-skillsai-agentscangjie-skillcontext-managementprompt-engineeringprompt-injectionsystem-prompttool-use

Install in seconds

Install Voice Optimization

Copy Voice Optimization into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/kangarooking/system-prompt-skills/tree/main/voice-optimization ~/.claude/skills/voice-optimization

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/kangarooking/system-prompt-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: voice-optimization/SKILL.md in kangarooking/system-prompt-skills
Installs to: ~/.claude/skills/voice-optimization
Collection: One of 15 skills cataloged from this repository
Category: AI Engineering — 3278 skills

What Voice Optimization does

Voice Optimization helps adapt system prompts for spoken interactions like voice assistants, voice search, and phone agents. It keeps answers concise, conversational, and safe for audio use, with rules for supported languages and no preambles.

Voice Optimization is cataloged under AI Engineering on DirSkills. Voice Optimization comes from a repository tagged agent-design, agent-skills, ai-agents, cangjie-skill and context-management.

Documentation

README

Excerpt

语音场景优化

R — 原文 (Reading)

Perplexity Voice 要求"请快速说话"、仅支持英语、禁止说话人识别、禁止唱歌哼唱、禁止模仿；Claude Mobile 强调"始终先给答案、无前言"、列表在小屏幕上更易扫描；Sesame AI Maya 专为语音优化的对话模式。核心模式：简洁优先、口语化适配、音频安全约束、语言限制、去除视觉格式。

I — 方法论骨架 (Interpretation)

简洁优先原则：语音场景中用户注意力窗口极短，回答必须开门见山，禁止"好的，让我来回答您的问题"等前言式表达。
口语化转换：将书面语转换为自然口语——使用短句、主动语态、日常词汇，避免从句嵌套和术语堆砌。
格式降级：去除 Markdown 表格、代码块、嵌套列表等视觉格式，改用自然语言描述或简短列举。
音频安全约束：禁止识别特定说话人身份、禁止模仿真实人物声线特征、禁止唱歌或哼唱旋律。
语言限制声明：明确支持的语种范围，超出范围时引导用户调整设置而非强行处理。
长度自适应：根据问题复杂度动态调整回答长度——简单问题一两句话，复杂问题控制在合理时长内。

A1 — 案例分析 (Past Application)

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Voice Optimization

What else does kangarooking publish alongside Voice Optimization?
Voice Optimization is one of 15 skills that DirSkills catalogs from kangarooking/system-prompt-skills, the repository it ships in. Its siblings there include Agent Delegation, Citation System and Code Engineering. Each one is a separate skill with its own page in this directory, installs the same way Voice Optimization does, and is maintained by kangarooking in that same repository. The rest of the collection is listed on the kangarooking/system-prompt-skills page.
How does Voice Optimization compare to other AI Engineering skills?
Voice Optimization ranks #3058 by stars among the 3278 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Voice Optimization against them. Open each page to compare what they document and how they install.