ワンクリックで
graph-query
Natural language queries to the knowledge graph. Search past reports, screenings, trades, research, and market context.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
Natural language queries to the knowledge graph. Search past reports, screenings, trades, research, and market context.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
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Undervalued stock screening. EquityQuery-based screening without a predefined stock list. Searches for undervalued stocks across 60+ regions including Japan, US, ASEAN, Hong Kong, Korea, and Taiwan using P/E, P/B, dividend yield, ROE, and more.
Portfolio management. Display holdings, record trades, and analyze portfolio structure. Input data foundation for stress tests.
Detailed report for individual stocks and ETFs. Generates a financial analysis report from a ticker symbol. Individual stocks show valuation, undervaluation score, and shareholder return rate. ETFs show expense ratio, AUM, and fund size.
| name | graph-query |
| description | Natural language queries to the knowledge graph. Search past reports, screenings, trades, research, and market context. |
| argument-hint | Natural language query (e.g., What was the last report on Toyota?) |
| allowed-tools | Bash(python3 *) |
Search past data accumulated in the knowledge graph (Neo4j) using natural language.
python3 .claude/skills/graph-query/scripts/run_query.py "natural language query"
For natural language → skill selection, see .claude/rules/intent-routing.md.
Results are displayed in Markdown format. If no data is found, a message is shown. If Neo4j is not connected, displays "No data found."
When displaying graph query results, integrate with conversation context: