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/meeting-brief-generator

Takes a company name and optional contact, runs targeted research via Tavily, synthesizes a 1-page pre-call brief with Gemini, and optionally saves it to Notion. Use when asked to prepare for a meeting, research a prospect before a call, generate a company brief, create a

From plugin
opendirectory-gtm-skills
58364 skills
Install
$ npx -y skills add Varnan-Tech/opendirectory --skill meeting-brief-generator --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/meeting-brief-generator

Context preview

The summary Claude sees to decide when to auto-load this skill.

Takes a company name and optional contact, runs targeted research via Tavily, synthesizes a 1-page pre-call brief with Gemini, and optionally saves it to Notion. Use when asked to prepare for a meeting, research a prospect before a call, generate a company brief, create a

SKILL.md

meeting-brief-generator.SKILL.md
name: meeting-brief-generator
description: Takes a company name and optional contact, runs targeted research via Tavily, synthesizes a 1-page pre-call brief with Gemini, and optionally saves it to Notion. Use when asked to prepare for a meeting, research a prospect before a call, generate a company brief, create a pre-call summary, or write a meeting prep doc. Trigger when a user says "prepare me for a meeting with", "research this company before my call", "generate a meeting brief for", "I have a call with X tomorrow", or "create a prospect brief for".
compatibility: [claude-code, gemini-cli, github-copilot]
author: OpenDirectory
version: 1.0.0

Meeting Brief Generator

Take a company name and optional contact. Research the company via Tavily. Synthesize a 1-page pre-call brief with Gemini. Optionally save to Notion.

---

**Critical rule:** DO NOT INVENT SPECIFICS. Every fact, number, and claim in the brief must come from a Tavily search result. Mark any section with no search data as "Limited public information found." Never fabricate funding amounts, employee counts, or product details.

---

Step 1: Setup Check

Confirm required env vars:

echo "TAVILY_API_KEY: ${TAVILY_API_KEY:+set}"
echo "GEMINI_API_KEY: ${GEMINI_API_KEY:+set}"
echo "NOTION_TOKEN: ${NOTION_TOKEN:-not set}"
echo "NOTION_DATABASE_ID: ${NOTION_DATABASE_ID:-not set}"

**If TAVILY_API_KEY is missing:** Stop. Tell the user: "TAVILY_API_KEY is required. Get it at app.tavily.com. Add it to your .env file."

**If GEMINI_API_KEY is missing:** Stop. Tell the user: "GEMINI_API_KEY is required. Get it at aistudio.google.com. Add it to your .env file."

**If NOTION_TOKEN or NOTION_DATABASE_ID is missing:** Continue. The brief will be output as text only. Notion saving is skipped.

**Confirm input is present.** The user must provide at minimum a company name. If not provided, ask: "Which company are you meeting with?"

---

Step 2: Gather Context

Collect the following. Ask only for what is missing.

Required:

  • Company name (or domain/URL if provided)
  • Meeting date

Optional (do not block if missing):

  • Contact name and title
  • Meeting type (discovery, demo, follow-up, QBR)
  • Any specific topics or goals the user wants to cover

If the user provides a company URL or domain, use it to make Tavily queries more precise (e.g. `site:example.com` or include the domain in search terms).

---

Step 3: Research with Tavily

Run these searches in sequence. Each targets one section of the brief. Save the top results from each (title, url, content snippet, score).

Keep results with score >= 0.5. If a search returns 0 qualifying results, mark that section as "Limited public information found."

**Search 1: Company overview**

curl -s -X POST "https://api.tavily.com/search" \
  -H "Content-Type: application/json" \
  -d '{
    "api_key": "'"$TAVILY_API_KEY"'",
    "query": "\"COMPANY\" overview founded employees headquarters",
    "search_depth": "advanced",
    "max_results": 5,
    "include_answer": true
  }'

**Search 2: Recent news (last 30 days)**

curl -s -X POST "https://api.tavily.com/search" \
  -H "Content-Type: application/json" \
  -d '{
    "api_key": "'"$TAVILY_API_KEY"'",
    "query": "\"COMPANY\" news announcement",
    "search_depth": "advanced",
    "max_results": 5,
    "include_answer": true,
    "topic": "news",
    "time_range": "month"
  }'

**Search 3: Tech stack**

curl -s -X POST "https://api.tavily.com/search" \
  -H "Content-Type: application/json" \
  -d '{
    "api_key": "'"$TAVILY_API_KEY"'",
    "query": "\"COMPANY\" technology stack engineering infrastructure tools",
    "search_depth": "advanced",
    "max_results": 5,
    "include_answer": true
  }'

**Search 4: Product and pricing**

curl -s -X POST "https://api.tavily.com/search" \
  -H "Content-Type: application/json" \
  -d '{
    "api_key": "'"$TAVILY_API_KEY"'",
    "query": "\"COMPANY\" product features pricing use case",
    "search_depth": "advanced",
    "max_results": 5,
    "include_answer": true
  }'

**Search 5: Competitors**

curl -s -X POST "https://api.tavily.com/search" \
  -H "Content-Type: application/json" \
  -d '{
    "api_key": "'"$TAVILY_API_KEY"'",
    "query": "\"COMPANY\" competitors alternatives vs",
    "search_depth": "advanced",
    "max_results": 5,
    "include_answer": true
  }'

**Search 6: Funding and growth**

curl -s -X POST "https://api.tavily.com/search" \
  -H "Content-Type: application/json" \
  -d '{
    "api_key": "'"$TAVILY_API_KEY"'",
    "query": "\"COMPANY\" funding raised valuation growth",
    "search_depth": "advanced",
    "max_results": 5,
    "include_answer": true
  }'

**If contact name is provided, run two more searches:**

**Search 7: Contact profile**

curl -s -X POST "https://api.tavily.com/search" \
  -H "Content-Type: application/json" \
  -d '{
    "api_key": "'"$TAVILY_API_KEY"'",
    "query": "\"CONTACT_NAME\" \"COMPANY\" role title",
    "search_depth": "advanced",
    "max_results": 5,
    "include_answer": true
  }'

**Search 8: Contact background**

curl -s -X POST "https://api.tavily.com/search" \
  -H "Content-Type: application/json" \
  -d '{
    "api_key": "'"$TAVILY_API_KEY"'",
    "query": "\"CONTACT_NAME\" background career LinkedIn",
    "search_depth": "advanced",
    "max_results": 5,
    "include_answer": true
  }'

---

Step 4: Synthesize with Gemini

Read `references/brief-format.md` in full. Read `references/output-template.md` and use the template.

Write the Gemini request to a temp file:

cat > /tmp/meeting-brief-request.json << 'ENDJSON'
{
  "system_instruction": {
    "parts": [{
      "text": "You are a GTM research analyst preparing a 1-page pre-call brief for a sales or business development meeting. Rules: Every claim must cite a source URL from the provided research. Use the format 'Because [finding from research], mention [point] to [g
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