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Weekly Prep Brief

OrganizationPopular
anthropics
weekly-prep-brief

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.

Overview

Publisheranthropics
Repositoryknowledge-work-plugins
Skill nameweekly-prep-brief
Stars
25.9K
Forks
3K
Bundled files
1
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by anthropics on GitHub. Read the source before you install it.

Installation

Install the Weekly Prep Brief AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/anthropics/knowledge-work-plugins/tree/main/partner-built/common-room/skills/weekly-prep-brief
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/anthropics/knowledge-work-plugins.git /tmp/knowledge-work-plugins
mkdir -p .claude/skills
cp -r /tmp/knowledge-work-plugins/partner-built/common-room/skills/weekly-prep-brief .claude/skills/weekly-prep-brief
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Weekly Prep Brief in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Weekly Prep Brief on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Weekly Prep Brief is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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.)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Weekly Prep Brief AI skill do?

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.

Why use Weekly Prep Brief on TypingMind?

Because you install it once and use it with any model. Weekly Prep Brief is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Weekly Prep Brief in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/anthropics/knowledge-work-plugins/tree/main/partner-built/common-room/skills/weekly-prep-brief. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Weekly Prep Brief?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Weekly Prep Brief?

As many as you like. As long as a model supports skills, you can use Weekly Prep Brief with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Weekly Prep Brief AI skill free?

Yes. It is published on GitHub by anthropics under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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