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SKILL verified MIT Self-run

Meeting Brief Generator

skill-varnan-tech-opendirectory-meeting-brief-generator · by Varnan-Tech

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 compan…

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Install

$ agentstack add skill-varnan-tech-opendirectory-meeting-brief-generator

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
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3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

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

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

If NOTIONTOKEN or NOTIONDATABASE_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  /tmp/notion-brief-payload.json << 'ENDJSON'
{
  "parent": { "database_id": "NOTION_DATABASE_ID_HERE" },
  "properties": {
    "Name": {
      "title": [{ "text": { "content": "Meeting Brief: COMPANY, DATE" } }]
    },
    "Date": {
      "date": { "start": "YYYY-MM-DD" }
    }
  },
  "children": [
    {
      "object": "block",
      "type": "paragraph",
      "paragraph": {
        "rich_text": [{ "type": "text", "text": { "content": "BRIEF_CONTENT_HERE" } }]
      }
    }
  ]
}
ENDJSON
curl -s -X POST "https://api.notion.com/v1/pages" \
  -H "Authorization: Bearer $NOTION_TOKEN" \
  -H "Content-Type: application/json" \
  -H "Notion-Version: 2022-06-28" \
  -d @/tmp/notion-brief-payload.json

After posting: "Brief saved to Notion. Check your database."

If Notion is not configured: present the brief only. Do not mention Notion.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.