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 piper-tts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 | piper-tts |
| description | Local text-to-speech using Piper ONNX voices - fast, private, no cloud needed. |
| metadata | {"openclaw":{"emoji":"🔊","requires":{"bins":["ffmpeg"]}}} |
Fast local text-to-speech using Piper ONNX voices. Runs entirely offline with no cloud dependencies. Supports multiple languages and voice styles.
# Default voice (en_US-amy-medium)
~/.openclaw/skills/piper-tts/scripts/piper-tts.py "Hello, how are you today?"
# Select a specific voice
~/.openclaw/skills/piper-tts/scripts/piper-tts.py "Guten Tag" -v de_DE-thorsten-medium
# Pipe text from stdin
echo "Read this aloud" | ~/.openclaw/skills/piper-tts/scripts/piper-tts.py -
# Custom output path and format
~/.openclaw/skills/piper-tts/scripts/piper-tts.py "Hello" -o greeting.mp3 -f mp3
# Adjust speaking rate and send to Matrix room
~/.openclaw/skills/piper-tts/scripts/piper-tts.py "Slow and steady" --rate 0.8 --room-id '!abc:matrix.org'
# List available downloaded voices
~/.openclaw/skills/piper-tts/scripts/piper-tts.py --list-voices
# Quiet mode (suppress progress)
~/.openclaw/skills/piper-tts/scripts/piper-tts.py "Hello" --quiet
-v/--voice: Voice model name (default: en_US-amy-medium)-o/--output: Output file path (default: auto-generated in /tmp)-f/--format: Output format: wav, mp3, ogg (default: wav)--rate: Speaking rate multiplier, 0.5-2.0 (default: 1.0)--room-id: Matrix room ID to send audio to--list-voices: List downloaded voice models-q/--quiet: Suppress progress messagesPiper supports 900+ voices across 60+ languages. Voice models are auto-downloaded from HuggingFace on first use.
| Voice | Language | Quality |
|---|---|---|
en_US-amy-medium (default) | English (US) | Medium |
en_US-lessac-high | English (US) | High |
en_GB-alba-medium | English (UK) | Medium |
de_DE-thorsten-medium | German | Medium |
fr_FR-siwis-medium | French | Medium |
es_ES-davefx-medium | Spanish | Medium |
| Voice Quality | Synthesis Time (100 words) | RTF |
|---|---|---|
| Medium | ~0.3s | 0.04x |
| High | ~0.8s | 0.10x |
{
"tools": {
"media": {
"tts": {
"enabled": true,
"models": [
{
"type": "cli",
"command": "~/.openclaw/skills/piper-tts/scripts/piper-tts.py",
"args": ["--quiet", "-f", "ogg", "-o", "{{OutputPath}}", "{{Text}}"],
"timeoutSeconds": 30
}
]
}
}
}
}