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/javimosch/open-claw-skills --skill sarvam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。
基于 SOC 职业分类
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| name | sarvam |
| description | Use Sarvam AI for Indian language Text-to-Speech (TTS), Speech-to-Text (STT), Translation, and Chat. |
| metadata | {"clawdbot":{"emoji":"🧘","requires":{"env":"[Truncated]","bins":"[Truncated]"},"primaryEnv":"SARVAM_API_KEY","installNotes":"Requires SARVAM_API_KEY. Local script execution may require explicit pathing (e.g., .\\skills\\sarvam\\.venv\\Scripts\\python.exe) due to current shell environment."}} |
This skill provides access to Sarvam AI's suite of Indian language models.
Generate speech from text in various Indian languages.
python skills/sarvam/scripts/sarvam_cli.py tts "Namaste, kaise hain aap?" --lang hi-IN --speaker meera --output hello.wav
Parameters:
text: The text to speak.--lang: Language code (e.g., hi-IN for Hindi, bn-IN for Bengali, etc.).--speaker: Voice ID (e.g., meera, pavithra, arvind).--output: Output file path (default: output.wav).Transcribe audio files.
python skills/sarvam/scripts/sarvam_cli.py stt path/to/audio.wav --model saaras:v3
Parameters:
file: Path to the audio file (wav, mp3).--model: Model to use (default: saaras:v3).--mode: STT Mode: transcribe (default), translate (to English), verbatim, translit, codemix.Translate text between Indian languages and English.
python skills/sarvam/scripts/sarvam_cli.py translate "Hello, how are you?" --source en-IN --target hi-IN
Parameters:
text: Text to translate.--source: Source language code.--target: Target language code.Interact with Sarvam's LLM (sarvam-2g).
python skills/sarvam/scripts/sarvam_cli.py chat "What is the capital of India?"
Parameters:
message: User message.--model: Model to use (default: sarvam-2g).--system: Optional system prompt.Environment Variable:
Ensure your API key is set in .env (already done for this workspace):
SARVAM_API_KEY="sk_..."
Virtual Environment:
The skill uses a local virtual environment at skills/sarvam/.venv.
Dependencies (requests) are pre-installed here.
Use the virtual environment's Python to run commands:
skills/sarvam/.venv/bin/python skills/sarvam/scripts/sarvam_cli.py tts "Namaste, kaise hain aap?" --lang hi-IN --speaker meera --output hello.wav
skills/sarvam/.venv/bin/python skills/sarvam/scripts/sarvam_cli.py stt path/to/audio.wav --model saaras:v3
skills/sarvam/.venv/bin/python skills/sarvam/scripts/sarvam_cli.py translate "Hello, how are you?" --source en-IN --target hi-IN
skills/sarvam/.venv/bin/python skills/sarvam/scripts/sarvam_cli.py chat "What is the capital of India?"