yutori-scout

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Original

English
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Translation

Chinese

Scout Setup

Scout 设置

Help the user set up a Yutori Scout for continuous web monitoring.
帮助用户设置Yutori Scout以实现持续网页监控。

Process

流程

  1. Understand the monitoring context Ask about:
    • Who is monitoring and why? (e.g., "We're a fintech looking for recently funded startups")
    • What specific information matters? (funding events, product launches, pricing changes)
    • What geography or market segments?
    • How often should it run? (daily, twice daily)
    • Notification preference: email, webhook, or both?
  2. Craft a comprehensive query
    A well-structured scout query includes:
    Context on the monitoring goal:
    • Who is doing the monitoring and what's the use case
    • What decisions this information supports
    What to Monitor:
    • Specific events/triggers to track
    • Data sources to check (news sites, SEC filings, social media, etc.)
    • Geographic or segment focus
    • Exclusion criteria (what NOT to report)
    Deliverables:
    • Frequency of reports
    • Output format (tables, narrative, both)
    • Required fields and citations
    Example structure:
    **Context:** [Who is monitoring and why]
    
    ## What to Monitor
    - [Specific events to track]
    - [Sources to check]
    - [Exclusions]
    
    ## Deliverables
    - [Output format]
    - [Required fields]
  3. Create the scout Use the
    create_scout
    tool with:
    • query
      : The comprehensive monitoring query
    • output_interval
      : 86400 (daily), 43200 (twice daily), or 1800 (minimum, every 30 min)
    • webhook_url
      and
      webhook_format
      if they want webhook notifications
    • skip_email: true
      if they only want webhooks
    • output_fields
      : For structured data extraction (e.g., ["company", "amount", "round_type", "source_url"])
  4. Provide next steps
    • Share the scout ID for future management
    • Explain how to pause/resume with
      edit_scout
    • Mention they can get updates with
      get_scout_updates
  1. 理解监控背景 询问以下信息:
    • 谁在进行监控以及监控目的?(例如:"我们是一家金融科技公司,想要追踪近期获得融资的初创企业")
    • 需要关注哪些具体信息?(融资事件、产品发布、价格变动)
    • 目标地域或细分市场?
    • 监控频率?(每日、每日两次)
    • 通知偏好:邮件、webhook,还是两者皆可?
  2. 撰写全面的查询语句
    结构清晰的Scout查询语句应包含:
    监控目标背景:
    • 监控主体及使用场景
    • 该信息将支持哪些决策
    监控内容:
    • 需要追踪的具体事件/触发条件
    • 要检查的数据源(新闻网站、SEC文件、社交媒体等)
    • 地域或细分市场聚焦
    • 排除条件(哪些内容无需报告)
    交付要求:
    • 报告频率
    • 输出格式(表格、叙述性内容,或两者皆有)
    • 必填字段及引用来源
    示例结构:
    **Context:** [Who is monitoring and why]
    
    ## What to Monitor
    - [Specific events to track]
    - [Sources to check]
    - [Exclusions]
    
    ## Deliverables
    - [Output format]
    - [Required fields]
  3. 创建Scout 使用
    create_scout
    工具,配置以下参数:
    • query
      :上述全面的监控查询语句
    • output_interval
      :86400(每日)、43200(每日两次)或1800(最小间隔,每30分钟一次)
    • 若需要webhook通知,需配置
      webhook_url
      webhook_format
    • 若仅需webhook通知,设置
      skip_email: true
    • output_fields
      :用于结构化数据提取(例如:["company", "amount", "round_type", "source_url"])
  4. 提供后续步骤
    • 分享Scout ID以便后续管理
    • 说明如何使用
      edit_scout
      暂停/恢复监控
    • 提及可通过
      get_scout_updates
      获取更新内容

Query Quality Tips

查询语句质量提示

Good queries:
  • Provide context on who is monitoring and why
  • Specify exact events/triggers (not just "news about X")
  • List data sources to check
  • Include exclusion criteria
  • Define output format expectations
  • Request citations and source links
Avoid:
  • Vague queries like "monitor competitor X"
  • Missing context about the monitoring goal
  • No output format specification
$ARGUMENTS
优质查询语句:
  • 提供监控主体及目的的背景信息
  • 指定确切的事件/触发条件(而非仅"关于X的新闻")
  • 列出需要检查的数据源
  • 包含排除条件
  • 明确输出格式要求
  • 要求提供引用及来源链接
需避免:
  • 模糊的查询语句,例如"监控竞争对手X"
  • 缺少监控目标的背景信息
  • 未指定输出格式
$ARGUMENTS