my_stock_report_mgnt_skill

What This Skill Does

The my_stock_report_mgnt_skill acts as a specialized orchestration layer designed to bridge the gap between complex stock analysis workflows and structured data management. It focuses on the lifecycle of US stock market reports, enabling users to store key conclusions, timestamps, summaries, and document references directly into a designated DingTalk AI Table. By acting as a validator and mediator, it ensures that only high-quality, formatted data enters your database, preventing the accumulation of 'dirty data' while providing a seamless interface to retrieve historical analysis.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/canonxu/my-stock-report-mgnt-skill

Ensure that you have the base dingtalk-ai-table dependency configured, as this skill relies on that underlying capability for all API-level communication with your table storage.

Use Cases

1. Structured Archiving: When an analyst completes a stock review, they can use this skill to instantly commit the ticker, timestamped conclusion, and supporting documents into a searchable repository.
2. Historical Performance Review: Financial analysts can retrieve historical reports for specific tickers or sentiment labels (e.g., all 'BUY' recommendations) to evaluate past call accuracy.
3. Knowledge Management: By enforcing a 300-character summary limit, the skill helps teams maintain a concise, high-signal knowledge base that is easy to scan and digest.

Example Prompts

1. "分析报告多维表，帮我归档一份新的美股分析报告：标的为NVDA，时间是20260325_140000，结论为BUY，摘要是该股票在AI基础设施支出中处于领先地位，结论文档链接为https://example.com/report1，完整文档链接为https://example.com/full1。"
2. "查询一下分析报告多维表中所有关于TSLA的BUY报告，并以表格形式展示出来。"
3. "请使用my_stock_report_mgnt_skill帮我整理这份美股报告数据，如果缺少字段请提醒我补全。"

Tips & Limitations

• Strict Triggering: This skill is intentionally conservative. It only executes when you explicitly mention '分析报告多维表' or the skill name to avoid accidental data manipulation.
• Data Integrity: Before insertion, the skill performs a rigorous 6-field schema check. If your input lacks a ticker or follows an incorrect timestamp format (YYYYMMDD_HHMMSS), it will pause and request clarification.
• Summarization: If your provided summary exceeds 300 characters, the agent is pre-programmed to condense the content before writing to the table. For optimal control, keep your inputs concise from the start.
• Dependencies: This skill does not manage the table connection itself; it relies on dingtalk-ai-table. Ensure that base is correctly authorized.