Plan, write, and edit professional financial reports; generate finance chart configurations. Use when condensing finance analysis into a structured output.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
This skill provides a structured workflow for generating professional financial reports. It includes planning, writing, editing, and creating visual aids (charts).
YOU (the Agent) are the Report Generator. Use the prompts in references/PROMPTS.md to progressively build the report.
Workflow:
Use scripts/visualizer.py to generate chart configurations if needed manually, though the Writer Prompt usually handles this via json-chart blocks.
sqlite3 (built-in)まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Fetch the latest financial signals and transmission-chain analyses from DeepEar Lite. Use when the user needs immediate insights into financial market trends, stock performance factors, and reasoning from the DeepEar Lite dashboard.
日本語の概要は準備中です。原文の説明を表示しています。
Create visualize finance logic diagrams (e.g., Draw.io XML) to explain complex finance transmission chains or finance logic flows.
日本語の概要は準備中です。原文の説明を表示しています。
Fetch hot finance news, unified trends, and prediction financial market data. Use when the user needs real-time financial news, trend reports from multiple finance sources (Weibo, Zhihu, WallstreetCN, etc.), or Polymarket finance market prediction data.
日本語の概要は準備中です。原文の説明を表示しています。
Market prediction skill using Kronos. Use when user needs finance market time-series forecasting or news-aware finance market adjustments.
日本語の概要は準備中です。原文の説明を表示しています。
Perform finance web searches and local context searches. Use when the user needs general finance info from the web (Jina/DDG/Baidu) or needs to retrieve finance information from a local document store (RAG).
日本語の概要は準備中です。原文の説明を表示しています。
Analyze finance text sentiment using FinBERT or LLM. Use when the user needs to determine the sentiment (positive/negative/neutral) and score of financial text markets.
日本語の概要は準備中です。原文の説明を表示しています。