Email Thread Summarizer

作者 Zoominfod07402feb2b9無授權條款收錄於 2026年10月8日更新於 2026年10月8日

Summarize a long email thread into its current state, the decisions and key points, and the open questions. Finds the thread with browse_engagements (emails), then uses conversation_intelligence with includeContent to read the actual thread body. Name the account, contact, or subject if you know it, or let the skill list recent threads to pick from. Use when someone says "summarize this email thread", "what's the state of the Acme thread", "catch me up on this email chain", or faces a long back-and-forth before replying. Summarizes one thread at a time.

AI 產生的概覽

將單一郵件討論串整理成目前狀態、已定事項與待解問題。

功能
此技能會把冗長的郵件討論串濃縮成結構化摘要:討論串目前的進展、依參與者歸屬的決策與重點,以及尚未解決或需要回覆的問題。它會先透過 browse_engagements(engagementType 為 EMAILS)找出討論串,再以 conversation_intelligence 並開啟 includeContent 讀取實際郵件內容。它也能提示回覆應聚焦的一兩個重點。它一次只處理一個討論串,並在找不到討論串或無法讀取內容時據實說明。
適用情境
當有人要求整理郵件討論串、想了解某個討論串的目前狀態,或在回覆前需要快速掌握一長串往來郵件時使用。適用於可透過帳戶、聯絡人或主旨確定討論串,或從近期討論串清單中挑選的情況。
執行需求
需要已連接的郵件整合才能使用 browse_engagements,並需要至少一個已連接的郵件來源才能使用 conversation_intelligence,後者還會消耗 AI 額度。不附帶指令碼,僅為說明文件。

Email Thread Summarizer

Collapse a long email chain into what matters: where it stands, what was decided, and what is still open.

Prerequisites

browse_engagements (to find the thread) requires a connected email integration; conversation_intelligence (to read the body) requires at least one connected email source and consumes AI credits. If the thread's content is not available to read, say so rather than guessing at its contents.

Input

Provided via $ARGUMENTS:

  • Which thread (optional) — an account, contact, or subject. If omitted, the skill lists recent email threads to pick from.
  • Emphasis (optional) — e.g. "what do they need from me", "just the decisions". Shapes the output.

Workflow

  1. Find the thread. Call browse_engagements with engagementType: EMAILS (scoped to the account/contact if known, sort: -chronological). If the target is ambiguous, present a short numbered shortlist (subject, participants, date) and let the user pick before spending credits. Keep the chosen engagement ID.
  2. Read the body. Run conversation_intelligence scoped to that engagement ID with includeContent: true so it returns the actual email body/thread alongside its answer. Ask for the thread's current state, the decisions and commitments, and the open questions. Keep it to the one thread; CI cannot search across threads by topic.
  3. Summarize. Distill the chain in reading order of importance, not message order. Attribute key points to who said them. Surface what needs a reply or a decision. Do not invent positions no one stated.

Output Format

Thread summary — [Subject]

Participants: [names]. Spans [first date] to [last date], [N] messages.

Where it stands — 2-3 sentences on the current state and what the thread is waiting on.

Decisions & key points — bullets, each attributed to who said it.

Open questions / needs a reply — what is unresolved, and specifically what is being asked of whom.

Suggested reply focus (if the user is drafting a response) — the one or two things their reply should address.

When there is no data

If no matching thread is found, or its content cannot be read, tell the user and ask them to name the thread or paste the chain, rather than summarizing from assumption.

來源與署名

來源:Zoominfo/zoominfo-mcp-plugin位於skills/email-thread-summarizer提交d07402f

授權條款: 無授權條款

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