菜单
Single self-contained file that works offline — produce or convert an artifact into one HTML file with all CSS, JS, fonts, and images inlined or embedded so it works without external assets. Use when the user wants an HTML deliverable they can open offline, email, or archive.
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。
基于 SOC 职业分类
Historical data access for the stock-analysis Backtesting pillar. Query the Rebyte Financial Data Service through the Relay Data API with read-only SQL, plus semantic search over historical news when needed for data exploration.
The single financial skill: stock and company analysis plus strategy backtesting, on the Rebyte financial data lake (US equities + China A-shares). Covers price history, technical analysis, company research, news, fundamentals, dividends/splits, insider trading via SEC EDGAR, multi-stock comparison, and NautilusTrader backtesting with a first-class result bundle. Use when the user mentions stock tickers, stock prices, company analysis, investment research, financial data, or wants to backtest a strategy. Triggers: stock symbol (AAPL, TSLA, 000001.SZ), 'stock price', 'analyze stock', 'compare stocks', 'company financials', 'insider trading', 'SEC filing', 'is X a good buy', 'price history', 'backtest', '回测'. Do NOT use for full-blown multi-source research reports (use financial-deep-research instead).
Stock-analysis Backtesting pillar. Run realistic event-driven backtests with NautilusTrader, including historical data acquisition through data/SKILL.md and execution/reporting. Use for strategy simulation, signal evaluation, Sharpe/drawdown/returns, in-sample vs out-of-sample, walk-forward, or parameter comparison. Do NOT use for live trading; the data lake is historical (T+1) only.
Template-only financial analysis workflows for statement analysis, valuation analysis, company research, industry research, and finance-specific output patterns. Use when the user asks for a financial analysis structure, report outline, model rubric, or reusable instructions rather than live data retrieval.
Render TradingView-style interactive price charts (candlesticks, indicator overlays, trade markers, volume/RSI/MACD panes) from OHLCV data using TradingView's open-source Lightweight Charts. Use for any price/market chart - "K线图", "candlestick chart", "price chart", "backtest chart", "plot the strategy", "chart AAPL", "TradingView-style chart", "show entries and exits on the chart". Do NOT use for non-price visualizations (heatmaps, pie, treemaps) - use the echarts skill for those.
Generate music from text (and optionally a reference image) using Google Lyria 3 via Rebyte data API. Two models — `lyria-3` for fast 30-second clips, `lyria-3-pro` for full songs up to ~3 minutes with structural awareness (intro/verse/chorus/bridge). 44.1 kHz stereo MP3 or WAV. Pass an `image` to condition mood/genre on a visual. Use for soundtracks, jingles, intro/outro music, ambient beds, podcast theme music, image-to-music, or any text-to-music task. Triggers include "generate music", "create a song", "make a soundtrack", "compose music", "background music", "jingle", "theme song", "music from prompt", "text to music", "image to music", "music from image", "AI music".
| version | 1 |
| name | save-as-standalone-html |
| description | Single self-contained file that works offline — produce or convert an artifact into one HTML file with all CSS, JS, fonts, and images inlined or embedded so it works without external assets. Use when the user wants an HTML deliverable they can open offline, email, or archive. |
| user-invocable | true |
Bundle the artifact into a single self-contained HTML file.
<style> and <script><img> and @font-face to data: URIs (small assets) OR upload large assets as public artifacts and reference by stable URL.html file<title>, <meta charset>, and viewport meta intact