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 mlx-whisper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 | mlx-whisper |
| version | 1.0.0 |
| description | Local speech-to-text with MLX Whisper (Apple Silicon optimized, no API key). |
| homepage | https://github.com/ml-explore/mlx-examples/tree/main/whisper |
| metadata | {"clawdbot":{"emoji":"🍎","requires":{"bins":["mlx_whisper"]},"install":[{"id":"pip","kind":"pip","package":"mlx-whisper","bins":["mlx_whisper"],"label":"Install mlx-whisper (pip)"}]}} |
Local speech-to-text using Apple MLX, optimized for Apple Silicon Macs.
mlx_whisper /path/to/audio.mp3 --model mlx-community/whisper-large-v3-turbo
# Transcribe to text file
mlx_whisper audio.m4a -f txt -o ./output
# Transcribe with language hint
mlx_whisper audio.mp3 --language en --model mlx-community/whisper-large-v3-turbo
# Generate subtitles (SRT)
mlx_whisper video.mp4 -f srt -o ./subs
# Translate to English
mlx_whisper foreign.mp3 --task translate
| Model | Size | Speed | Quality |
|---|---|---|---|
| mlx-community/whisper-tiny | ~75MB | Fastest | Basic |
| mlx-community/whisper-base | ~140MB | Fast | Good |
| mlx-community/whisper-small | ~470MB | Medium | Better |
| mlx-community/whisper-medium | ~1.5GB | Slower | Great |
| mlx-community/whisper-large-v3 | ~3GB | Slowest | Best |
| mlx-community/whisper-large-v3-turbo | ~1.6GB | Fast | Excellent (Recommended) |
~/.cache/huggingface/mlx-community/whisper-tiny; use --model mlx-community/whisper-large-v3-turbo for best results