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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。
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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