Daily Brief

作者 Zoominfod07402feb2b9无许可证收录于 2026年10月8日更新于 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 生成的概览

为用户梳理某一天的会议,逐场给出当前进展、重点与待跟进事项。

功能
按时间顺序生成所选日期的逐场会议简报。每场会议包含当前进展、需要推动的一个目标、来自以往对话的待跟进事项以及参会人员。最后在当天范围内给出一条有依据的注意事项。
适用场景
适用于用户询问今天有什么安排、希望为会议做准备,或在连续通话前需要一份晨间简报时。也支持指定日期(如明天或周一),以及仅客户会议等可选筛选条件。
运行要求
需要已启用的日历/会议集成以获取日程,并至少连接一个会议或邮件来源以提供对话洞察。它会调用账户、联系人和对话研究工具,这些工具会消耗 AI 额度,因此在研究一整天前会先确认范围。仅为说明文档,不附带脚本。

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.

来源与署名

来源:Zoominfo/zoominfo-mcp-plugin位于skills/daily-brief提交d07402f

许可证: 无许可证

内容归原作者所有。SourceWeft 从公开仓库中收录这些内容。

举报或申请下架