Meeting Brief Generator

What it does

When your agent uses it

• Asked to prepare for a meeting
• Research a prospect before a call
• Generate a company brief
• Create a pre-call summary

Example prompts

• “prepare me for a meeting with”
• “research this company before my call”
• “generate a meeting brief for”
• “/meeting-brief-generator”

Requirements

• Python 3
• A credential in TAVILY_API_KEY
• A credential in GEMINI_API_KEY
• Compatibility (from SKILL.md): ["claude-code","gemini-cli","github-copilot"]

Workflow steps

6 steps, taken from the step headings in SKILL.md.

1. 1Setup Check
2. 2Gather Context
3. 3Research with Tavily
4. 4Synthesize with Gemini
5. 5Self-QA
6. 6Output or Save to Notion

What it can do on your machine

Read from SKILL.md and the folder at commit 62e437a. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • curl
  • python3

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Hosts in commands or code, which the agent is likely to contact:

  • api.tavily.com
  • generativelanguage.googleapis.com
  • api.notion.com

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names these keys or tokens, usually read from environment variables:

  • TAVILY_API_KEY
  • GEMINI_API_KEY
  • NOTION_TOKEN

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

• Compatibility

  ["claude-code","gemini-cli","github-copilot"]

  From compatibility in the SKILL.md frontmatter.

Context cost

Meeting Brief Generator loads about 2.2k tokens when it runs, and up to ~4.8k if it reads all its reference files. Until then it costs about 135 tokens; SKILL.md has 513 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~135

When it runs · the whole SKILL.md, loaded when a task matches

~2.2k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~4.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• NoteMentions a .env fileSKILL.md:31

  Get it at app.tavily.com. Add it to your .env file."

• NoteMentions a .env fileSKILL.md:34

  t at aistudio.google.com. Add it to your .env file."

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Varnan-Tech/opendirectory at commit 62e437a, republished under its MIT licence (© Varnan-Tech). 513 words, ~2,157 tokens.

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

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}"

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
  }'

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"
  }'

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
  }'

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
  }'

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
  }'

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
  }'

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
  }'

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
  }'

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 [goal]' for talking points. No invented data. If a section has no research data, write 'Limited public information found.' No em dashes. No banned words. Under 400 words total. The brief must be scannable in 3 minutes."
    }]
  },
  "contents": [{
    "parts": [{
      "text": "RESEARCH_RESULTS_AND_INSTRUCTIONS_HERE"
    }]
  }],
  "generationConfig": {
    "temperature": 0.3,
    "maxOutputTokens": 2500
  }
}
ENDJSON
curl -s -X POST \
  "https://generativelanguage.googleapis.com/v1beta/models/gemini-2.0-flash:generateContent?key=$GEMINI_API_KEY" \
  -H "Content-Type: application/json" \
  -d @/tmp/meeting-brief-request.json \
  | python3 -c "import sys,json; d=json.load(sys.stdin); print(d['candidates'][0]['content']['parts'][0]['text'])"

cat > /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

© Varnan-Tech, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (references) in skills/meeting-brief-generator of Varnan-Tech/opendirectory.

• SKILL.md
• .env.example
• README.md
• evals/evals.json
• references/brief-format.md
• references/output-template.md

Open the folder on GitHubat commit 62e437a