Weekly Prep Brief

作者 anthropicsae1513ea94dc無授權條款27K 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫今天更新

Generate a comprehensive weekly briefing for all external calls in the next 7 days. Triggers on 'weekly prep brief', 'prepare my week', 'what calls do I have this week', 'Monday prep', or any weekly planning request.

AI 產生的概覽

為未來一週的外部客戶與潛在客戶通話產生每週簡報,包含每場會議的公司與聯絡人研究。

功能
此技能會取得未來 7 天的外部會議,來源可以是已連接的行事曆,或由使用者手動提供的清單,並在開始研究前先與使用者確認會議清單。接著為每場會議整理公司與聯絡人研究,再補充一次有限的近期新聞查詢,最後依會議日期與時間排序,產出一份結構化的每週簡報。資料稀少的會議會採用精簡格式並明確標示,而不會套用完整範本。
適用情境
適用於業務或團隊需要為下週所有外部通話準備資料的每週規劃情境。適合「週一準備簡報」或「本週有哪些客戶會議」這類需求。不適用於僅限內部的會議或單場會議的臨時準備。
執行需求
需要行事曆連接器以自動取得會議,否則須由使用者手動提供會議資訊。研究依賴 Common Room 資料以及 account-research 與 contact-research 技能,並需要網路搜尋權限以進行近期資訊查核。此技能不含指令碼,僅為說明文件,並附有一份參考指南檔案。

Weekly Prep Brief

Generate a single comprehensive weekly briefing that covers every external customer or prospect call in the next 7 days, with per-meeting account and contact research from Common Room.

Briefing Process

Step 1: Get the Week's External Meetings

Option A — Calendar connected: Use the ~~calendar connector to fetch all meetings scheduled in the next 7 days (or a user-specified range). Filter to keep only external meetings — those with attendees from outside your organization. Discard internal-only meetings, one-on-ones with colleagues, and recurring internal syncs.

Identify for each external meeting:

  • Company name
  • Meeting date and time
  • External attendee names and email addresses

Option B — No calendar connected: Ask the user: "To build your weekly prep brief, I'll need your upcoming external calls. Please list them: company name, date/time, and attendee names."

Accept freeform input and parse it into a structured list before proceeding.

Step 2: Confirm the Meeting List

Present the identified meetings to the user for confirmation before beginning research:

"Here are the external calls I found for this week. Let me know if anything's missing or should be excluded:

  • [Company] — [Day], [Time] — [Attendees]
  • ..."

This prevents wasted research on cancelled or incorrect meetings.

Step 3: Research Each Meeting

For each confirmed external meeting, run in parallel where possible:

  1. Account research — full account snapshot using the account-research skill
  2. Contact research — profile for each external attendee using the contact-research skill

Common Room data is the primary source. After CR research, run a quick recency check for each company — this is supplementary, not primary:

  • Search "[company name]" news scoped to the last 7 days
  • For executive attendees, search their name for recent public posts or interviews
  • Only include findings that are genuinely noteworthy (funding, leadership changes, major press). Don't pad the brief with generic news.

Depth calibration:

  • For high-priority accounts (large accounts, open opportunities, renewal risk), produce full depth research
  • For lower-priority or short meetings, produce abbreviated snapshots (3–4 bullets each)

Step 4: Synthesize the Weekly Brief

Compile all per-meeting research into a single structured document, sorted by meeting date/time.

Open with a brief week-level overview that flags:

  • Any accounts with urgent signals (at-risk, trial expiring, expansion opportunity)
  • Any meetings that need special preparation or executive involvement
  • Total external call count and estimated time commitment

Output Format

# Weekly Prep Brief — Week of [Date]
## Week Overview[2–4 bullets: key themes, flagged priorities, call count]
---
## [Monday / Tuesday / etc.]
### [Company Name] — [Time]**Attendees:** [Names and titles]**Meeting type:** [Discovery / QBR / Renewal / Expansion / etc. — inferred if possible]
**Company Snapshot**[4–5 bullets: account status, top signals, recent activity]
**Attendee Profiles**- **[Name]** ([Title]): [2–3 bullets on their signals, persona, conversation angle]- [Repeat per attendee]
**Top Signals This Week**[2–3 most relevant signals for this specific call]
**This Week's News** [If notable news found][Only genuinely noteworthy findings — funding, leadership changes, major press]
**Recommended Objectives**[1–2 sentences: what to accomplish in this meeting]
---
[Repeat per meeting, sorted by date/time]

When a Meeting Has Sparse Data

If Common Room returns limited data for a particular meeting's account or attendees, use a compressed format for that meeting instead of the full template:

### [Company Name] — [Time] ⚠️ Limited Data**Attendees:** [Names and titles if known]**Data available:** [What Common Room actually returned]
**Web Search Results**[Findings from web search — company news, attendee LinkedIn profiles]
**Note:** Common Room has limited data on this account. The rep may want to check directly in CR or gather context from colleagues before this call.

Do not generate a full meeting prep section (company snapshot, signal highlights, talking points, recommended objectives) from sparse data. A short honest section is more useful than a fabricated full one.

Quality Standards

  • Keep each meeting section scannable — reps read these in the morning, often on mobile
  • Always sort by date/time ascending
  • Flag urgent situations prominently (risk, trial expiration, open opps) — don't bury them
  • If a meeting has very thin Common Room data, use the sparse-data format above — never fill the full template with guesses
  • Total brief should be readable in 10–15 minutes for a week with 4–6 meetings
  • Every fact must come from a tool call — no invented deal context, activity, or signals

Reference Files

  • references/briefing-guide.md — guidelines for structuring briefings, prioritization logic, and how to handle edge cases (cancelled meetings, new accounts with no data, etc.)

來源與署名

來源:anthropics/knowledge-work-plugins位於partner-built/common-room/skills/weekly-prep-brief提交ae1513e

授權條款: 無授權條款

內容歸原作者所有。SourceWeft 從公開儲存庫中收錄這些內容。

檢舉或申請下架

更多來自 anthropics/knowledge-work-plugins 的技能

Ticket Deflector

anthropics

精選

Reads a forwarded customer email or ticket, pulls order and refund status from a payments connector (PayPal, Square, or Stripe) or Shopify, account history from the CRM, and open tickets from a support desk (Zoho Desk), drafts a tone-matched reply in the owner's writing voice, and can issue a refund through the payments connector with explicit owner approval. With Shopify connected it also runs a proactive order-triage mode that surfaces orders needing attention — unfulfilled past the promised window, payment problems, pending refunds, stuck shipments — and drafts the next action for each before the customer has to ask. Use when the user says "draft a response," "answer this customer," "where's my order," "I want a refund," "check my orders," or "anything about to blow up."

待分類27K今天更新

Tax Season Organizer

anthropics

精選

Prepares tax-season materials for the owner's accountant, not tax advice. US federal tax; a non-US business gets its closed-books packet instead. Two modes: (1) quarterly estimated tax from YTD net income in the ledger (MYOB, NetSuite, QuickBooks, Xero, or Zoho Books); (2) year-end 1099 prep, scanning the ledger, PayPal, and Stripe for contractors paid over USD 600 into a 1099-NEC list with missing W-9 flags. Any tax request routes first to /tax-prep, which confirms the books are closed and reconciled before running this skill. Use this skill directly only when the owner says the period's books are already closed: "books are closed, now do the 1099s," "run the quarterly estimate off the closed numbers," or "just the contractor W-9 list."

待分類27K今天更新

Tax Prep

anthropics

精選

根據已結帳的帳目準備稅務資料:季度預估繳稅明細,或年終 1099-NEC 清單與會計師資料包。

Business & Finance27K今天更新

Smb Onboard

anthropics

精選

引導小型企業主完成首次設定:連接工具、執行一次展現價值的配方、記錄業務背景並設定每週檢查節奏。

Productivity & Workflow27K今天更新

Smb Router

anthropics

精選

將小型企業主的需求轉接到合適的外掛技能或指令,並說明可用功能。

Productivity & Workflow27K今天更新

Month End Prep

anthropics

精選

Reconciles the accounting ledger (MYOB, NetSuite, QuickBooks, Xero, or Zoho Books) against PayPal, Shopify, Square, and Stripe settlements, flags transactions that need attention, suspicious duplicates, and missing receipts, then writes a plain-English P&L narrative and exports a close packet (xlsx + one-page PDF). This is the first link of the /close-month command; a request to close the month or the books routes there, and the command runs this skill before refreshing the forecast and distributing the packet. Use this skill directly only when the owner wants the reconciliation alone, with no forecast refresh and no distribution: "just reconcile, no packet," "what's missing from the books," "flag the duplicates and missing receipts," or "write the P&L narrative for this month."

待分類27K今天更新