Contact Relationship Recap

作者 Zoominfod07402feb2b9无许可证8 个星标收录于 2026年10月8日更新于 2026年10月8日仓库8天前更新

Recap where things stand with a specific person across recent conversations, with emphasis on how the relationship is evolving. Identify the contact by ZoomInfo contact ID (preferred) or by name plus company (triggers a lookup). Blends contact-scoped conversation_intelligence for what this person has actually said recently with contact_research for their role and background. Use when someone asks "where are we with Jane", "is this person still our champion", "recap my conversations with this contact", or wants a read on an individual relationship before reaching out. Reasons over the last few engagements only.

AI 生成的概览

根据近期对话回顾与某位联系人的关系现状,涵盖其态度、变化与下一步建议。

功能
通过 ZoomInfo 联系人 ID 或姓名加公司解析单个联系人,然后并行读取按联系人范围的 conversation_intelligence 与 contact_research。它综合判断该联系人当前的态度(积极拥护者、支持、中立、怀疑、已沉默)以及关系是在增强还是减弱,并附证据。输出内容包括其近期言论、发生的变化、承诺与待回应事项,以及一条建议的下一步行动。若没有对话数据,则给出 contact_research 视角并说明关系判断受限。
适用场景
适用于有人询问与某位特定联系人的关系现状、该联系人是否仍是拥护者,或希望在联系对方前回顾与该联系人的对话。它仅基于最近几次互动进行推理,且范围限定于单个联系人。不适用于按主题检索或统计提及次数。
运行要求
需要已连接的电子邮件或会议数据源,以支持按联系人范围的 conversation_intelligence,并需要 conversation_intelligence 与 contact_research 能力,二者会消耗 AI 额度。联系人解析使用 ZoomInfo 联系人 ID,或通过 search_contacts 以姓名加公司查询。不附带脚本,仅为指令。

Contact Relationship Recap

Where we stand with one person, read from recent conversations: their posture toward us, and how it is changing.

Prerequisites

Contact-scoped conversation_intelligence requires at least one connected email or meeting source; conversation_intelligence and contact_research consume AI credits. If no conversation data exists for the person, give the contact_research-based read and note that conversation context was unavailable, pointing the user to their ZoomInfo admin.

Input

Provided via $ARGUMENTS:

  • Contact (required) — ZoomInfo contact ID (preferred), or a name plus company to resolve via search_contacts.
  • Lens (optional) — e.g. "is the champion still engaged", "did sentiment cool after the demo". Frames the recap.

Workflow

  1. Resolve the contact. Use the ZoomInfo contact ID directly; otherwise resolve via search_contacts (name + company) and confirm an ambiguous match before spending credits.
  2. Read the relationship. Run contact-scoped conversation_intelligence and contact_research in parallel. Ask CI what this person has raised across recent conversations, how engaged and positive they have been, what they have committed to, and whether their stance has shifted. Keep CI scoped to this one contact; it cannot search by topic or count mentions, and sees only the last few engagements.
  3. Synthesize posture and trajectory. Classify the person's current posture (engaged champion, supportive, neutral, skeptical, gone quiet) and whether it is strengthening or weakening, with evidence. Do not infer a champion or a risk the conversations do not support.

Output Format

Where we stand with [Name] — [Title, Company]

Posture — one line: engaged champion / supportive / neutral / skeptical / gone quiet, with the evidence.

Recent from them — 3-5 bullets on what this person has actually said or asked for lately (from CI, with source meetings).

What's changed — shifts in engagement, tone, or influence; e.g. went quiet after a reorg, warmed up after a successful pilot. Tied to evidence.

Commitments / open asks — what they promised or are waiting on from us.

Suggested next step — one evidence-based move to re-engage or advance the relationship.

When there is no data

If conversation data is unavailable, give the contact_research view and state that the relationship read is limited without connected conversation history.

来源与署名

来源:Zoominfo/zoominfo-mcp-plugin位于skills/contact-relationship-recap提交d07402f

许可证: 无许可证

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