duclm1x1
duclm1x1/Dive-Ai
相关职业SOC
基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/duclm1x1/Dive-Ai --skill voice-agent命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
正在显示 SKILL.md
基于 SOC 职业分类
| name | voice-agent |
| display-name | AI Voice Agent Backend |
| version | 1.0.0 |
| description | Local Voice Input/Output for Agents using the AI Voice Agent API. |
| author | trevisanricardo |
| homepage | https://github.com/ricardotrevisan/ai-conversational-skill |
| user-invocable | true |
| disable-model-invocation | false |
This skill allows you to speak and listen to the user using the local Voice Agent API.
transcribe to read it.synthesize to generate the audio file.To transcribe an audio file (Speech-to-Text), run the client script with the transcribe command.
python3 {baseDir}/scripts/client.py transcribe "/path/to/audio/file.ogg"
To generate audio from text and save it to a file (Text-to-Speech), run the client script with the synthesize command.
python3 {baseDir}/scripts/client.py synthesize "Text to speak" --output "/path/to/output.mp3"
To check if the voice agent API is running and healthy:
python3 {baseDir}/scripts/client.py health
If the Health Check fails or you receive a connection error, the service may be stopped.
You can attempt to start it by running:
{baseDir}/scripts/start.sh