بنقرة واحدة
notebooklm-skill
与 Google NotebookLM 交互,查询用户上传的文档知识库,获取基于 Gemini 的精准回答。触发词:NotebookLM、查询我的笔记本、问知识库。
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
与 Google NotebookLM 交互,查询用户上传的文档知识库,获取基于 Gemini 的精准回答。触发词:NotebookLM、查询我的笔记本、问知识库。
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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 | notebooklm-skill |
| description | 与 Google NotebookLM 交互,查询用户上传的文档知识库,获取基于 Gemini 的精准回答。触发词:NotebookLM、查询我的笔记本、问知识库。 |
与 Google NotebookLM 交互,查询文档知识库。
用户:
需要 Python 环境和相关脚本。
python scripts/run.py ask_question.py --question "<问题>" --notebook-url "<URL>"
python scripts/run.py notebook_manager.py add --url "<URL>" --name "<名称>" --description "<描述>" --topics "<主题>"
python scripts/run.py notebook_manager.py list