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本地 Whisper 语音转文字（完全免费，离线可用）。当用户发送语音消息时使用此技能将语音转换为文字。无需 API Key，不花任何费用。支持中文、英文等语言自动识别。
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Professional trading strategy guides for prediction markets and crypto. Risk management, trend analysis, and best practices.
Manage Steven's A-share shadow trading dashboard. Triggers on: (1) "影子盘看板", "交易看板", "持仓状况", (2) placing or updating a simulated trade (buy/sell/止损/止盈), (3) updating positions or equity data, (4) reviewing trade history or P&L. Reads and writes to the shadow trading system under trade/.
Log every trade with full context (thesis, entry, exit, PnL, emotion, lesson). Generate weekly and monthly performance reports. Identify patterns in wins/losses. Use when recording a new trade, reviewing performance, running a weekly debrief, or updating the trading strategy based on results.
Institutional-grade options trading system with 10 strategy templates, interactive strategy router, IV analyzer, and portfolio manager. Get real-time trade recommendations based on market conditions.
Trading strategy development sandbox. User describes trading intent in natural language, agent writes a Python backtest strategy and returns results.
专业级智能股票监控预警系统 V2.1。支持收盘日报自动生成、反爬虫优化(Session级UA、多数据源冗余)、成本百分比预警、均线金叉死叉、RSI超买超卖、成交量异动监控、智能错误提醒。符合中国投资者习惯（红涨绿跌）。Use when user needs stock market monitoring, price alerts, daily reports, or automated trading notifications for A-shares and ETFs.
| name | whisper-local |
| description | 本地 Whisper 语音转文字（完全免费，离线可用）。当用户发送语音消息时使用此技能将语音转换为文字。无需 API Key，不花任何费用。支持中文、英文等语言自动识别。 |
| homepage | https://github.com/openai/whisper |
| metadata | {"region":"CN","language":"zh","author":"local"} |
使用本地 Whisper AI 模型将语音转换为文字，完全免费、离线可用。
C:/tools/whisper-skill/scripts/transcribe.js当收到语音消息（audio file）时，运行以下命令转写：
node C:/tools/whisper-skill/scripts/transcribe.js "<音频文件路径>" <语言>
语言参数可选（默认中文）:
zh - 中文en - 英文auto - 自动检测语言JSON格式:
{
"text": "转写出的文字内容",
"language": "zh",
"duration": 12.5
}
node C:/tools/whisper-skill/scripts/transcribe.js "C:/temp/voice_msg.silk" zh
C:\Users\Administrator\AppData\Local\Programs\Python\Python314\python.exeC:\tools\ffmpeg\ffmpeg-7.1-essentials_build\bin\ffmpeg.exeC:\tools\whisper_models