weekly-prep-brief

GitHub

根据未来7天外部会议列表,自动执行账户与客户背景调研,结合新闻快讯生成结构化周简报,辅助销售准备。

partner-built/common-room/skills/weekly-prep-brief/SKILL.md anthropics/knowledge-work-plugins

触发场景

weekly prep brief prepare my week what calls do I have this week Monday prep

安装

npx skills add anthropics/knowledge-work-plugins --skill weekly-prep-brief -g -y
更多选项

非标准路径

npx skills add https://github.com/anthropics/knowledge-work-plugins/tree/main/partner-built/common-room/skills/weekly-prep-brief -g -y

不安装直接使用

npx skills use anthropics/knowledge-work-plugins@weekly-prep-brief

指定 Agent (Claude Code)

npx skills add anthropics/knowledge-work-plugins --skill weekly-prep-brief -a claude-code -g -y

安装 repo 全部 skill

npx skills add anthropics/knowledge-work-plugins --all -g -y

预览 repo 内 skill

npx skills add anthropics/knowledge-work-plugins --list

SKILL.md

Frontmatter
{
    "name": "weekly-prep-brief",
    "description": "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."
}

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.)

版本历史

  • 6f13415 当前 2026-07-05 18:31

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元信息

文件数
0
版本
31c2ee1
Hash
3c6a45f6
收录时间
2026-07-05 18:31

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