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graph-query
Natural language queries to the knowledge graph. Search past reports, screenings, trades, research, and market context.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Natural language queries to the knowledge graph. Search past reports, screenings, trades, research, and market context.
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
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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.
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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: