Daily Brief

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

Brief the user on their day. Pull today's (or a named day's) meetings and, for each, synthesize the current state of play, a suggested focus or objective, and any follow-ups needed. Uses browse_engagements for the schedule, then account_research, contact_research, and conversation_intelligence per meeting. Use when someone says "what's on my plate today", "brief me for my meetings", "prep my day", or wants a morning rundown before back-to-back calls. Because it researches every meeting, it can consume meaningful AI credits — it confirms scope before fanning out across a full day.

AI 產生的概覽

為使用者整理某一天的會議,逐場提供目前進展、重點與待跟進事項。

功能
依時間順序產生所選日期的逐場會議簡報。每場會議包含目前進展、需要推動的一個目標、來自先前對話的待跟進事項,以及出席人員。最後在當天範圍內給出一條有依據的注意事項。
適用情境
適用於使用者詢問今天有什麼行程、希望為會議做準備,或在連續通話前需要一份晨間簡報時。也支援指定日期(例如明天或週一),以及僅客戶會議等選用篩選條件。
執行需求
需要已啟用的行事曆/會議整合以取得行程,並至少連接一個會議或郵件來源以提供對話洞察。它會呼叫帳戶、聯絡人與對話研究工具,這些工具會消耗 AI 額度,因此在研究一整天前會先確認範圍。僅為說明文件,不附帶指令碼。

Daily Brief

Give the user a fast, per-meeting rundown of their day: where each account stands, the one thing to drive, and what to follow up on.

Prerequisites

browse_engagements (the schedule) requires an active calendar/meeting integration; conversation_intelligence requires at least one connected meeting or email source. account_research, contact_research, and conversation_intelligence all consume AI credits, and this skill calls them once per meeting — so a full day of meetings can be credit-heavy. Confirm scope before fanning out (see Workflow step 2). If no integration is connected, report that and point the user to their ZoomInfo admin.

Input

Provided via $ARGUMENTS:

  • Day (optional) — defaults to today. "Tomorrow", "Monday", or a date all work.
  • Filter (optional) — e.g. "customer meetings only", "just external", a specific account. Defaults to external meetings (ones with non-colleague participants).

Workflow

  1. Get the schedule. Call browse_engagements with a window covering the target day (engagementType: MEETINGS, sort: chronological). Drop internal-only meetings (no external participants) unless the user asked for everything.

  2. Size it and confirm. Count the external meetings. Each one fans out three AI-credit calls (account_research, contact_research, conversation_intelligence), so the spend adds up quickly — even a handful of meetings is a non-trivial number of AI credits. If there are more than a few (roughly 3+), tell the user the meeting count, note that each is researched with several AI-credit calls, and offer to scope down (external customer meetings only, the most important few, or a named subset) before proceeding. This pause keeps a packed calendar from turning into a large unprompted credit spend.

  3. Research each meeting (parallel, bounded). For the in-scope meetings, fan out per meeting: account_research (kept light — this is a day view, not a full brief), contact_research for the attendees, and conversation_intelligence scoped to the account or the specific engagement for recent state and open items. Parallelize across meetings, but respect the volume you confirmed in step 2. Keep each CI query scoped to one account or engagement; CI cannot search by topic, filter by call type, or count mentions, and only reasons over the last few engagements — base each card on what it returns, not on it having full history.

  4. Synthesize one card per meeting. Frame each around the single most useful outcome for that meeting. Pull follow-ups from prior commitments surfaced by CI. Do not pad cards with generic firmographics — lead with what changes how the user shows up.

Output Format

Your day — [N] meetings ([date])

For each meeting, in time order:

[time] · [title] — [account]

  • State of play: 1-2 lines on where things stand (from CI + research).
  • Focus: the one outcome to drive in this meeting.
  • Follow-ups: open commitments or items to close, from prior conversations (or "none surfaced").
  • Who's in the room: attendees with role, one line.

Close with a single Watch-outs line across the day if anything connects (a renewal clock, a slipping deal, an exec sitting in) — only if it is evidence-based, not generic.

When the day is empty or data is thin

If no meetings are found, say the day looks clear (for the chosen filter) rather than erroring. For any meeting with no conversation data, base its card on research only and note that no prior-conversation context was available.

來源與署名

來源:Zoominfo/zoominfo-mcp-plugin位於skills/daily-brief提交d07402f

授權條款: 無授權條款

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