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meeting-prep-agent会议准备 Agent

Agent Skill

meeting-prep-agent 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:meeting-prep-agent(会议准备 Agent)
来源仓库:https://github.com/audsmith28/meeting-prep-agent
安装命令:
openclaw skills install meeting-prep-agent
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install meeting-prep-agent

简介

永远不要再毫无准备地参加会议。您的代理在日历活动之前研究所有与会者 - 提取 LinkedIn 个人资料、最近的公司新闻、相互联系和对话开始者。生成一份包含谈话要点、破冰话题和背景的简报文档,让您显得见多识广、充满自信。在会议前或按需自动触发。配置研究深度、提前时间和输出格式。盲目地参加会议是业余时间——错过联系、普通闲聊、零杠杆。在设置会议智能、研究特定与会者、生成会前简报或自动化准备工作流程时使用。

SKILL.md

name
meeting-prep
description
Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.
metadata
clawdbot
emoji
🎯
requires
skills
env

Meeting Prep — Never Walk In Blind

Walking into meetings unprepared is amateur hour.

You're juggling back-to-back calls, no time to research who's in the room. You default to generic small talk. You miss the fact that the VP you're pitching used to work at your dream client. You didn't see the news that their company just raised $50M. You fumble the connection.

Meeting Prep fixes this. Your agent researches every attendee before you join—LinkedIn profiles, company intel, recent news, mutual connections, conversation hooks. It generates a briefing doc with talking points, icebreakers, and context. You walk in informed, confident, and ready to connect.

What It Does

  • Auto-triggers before calendar events (configurable advance time)
  • Researches attendees: LinkedIn profiles, role, background, recent activity
  • Company intelligence: Recent news, funding, product launches, leadership changes
  • Connection mapping: Mutual contacts, shared interests, conversation hooks
  • Generates brief: Clean, scannable doc with talking points and icebreakers
  • On-demand mode: Research specific people or meetings instantly

The difference: Most meeting tools focus on *agendas*. Meeting Prep focuses on *people*. Know who you're talking to before you open your mouth.

Setup

  1. Run scripts/setup.sh to initialize config and brief storage
  2. Edit ~/.config/meeting-prep/config.json with calendar settings and research preferences
  3. Ensure gog skill is installed (for Google Calendar integration)
  4. Test with: scripts/prep.sh "meeting-id-or-attendee-email" --dry-run

Config

Config lives at ~/.config/meeting-prep/config.json. See config.example.json for full schema.

Key sections:

  • calendar — Which calendars to monitor, event filters, advance notice
  • research — Depth level (quick/standard/deep), data sources, focus areas
  • output — Format (markdown/text/telegram), delivery channel, storage location
  • auto_prep — Enable/disable automatic prep, time thresholds, event criteria
  • icebreakers — Tone preferences (professional/casual/witty), topic priorities

Scripts

ScriptPurpose
scripts/setup.shInitialize config and brief directories
scripts/prep.shResearch attendees for a specific meeting (on-demand)
scripts/auto-prep.shCheck upcoming calendar events and prep meetings that qualify
scripts/brief.shOutput formatted briefing doc for a meeting

All scripts support --dry-run for testing without actually generating briefs.

Auto-Prep Workflow

Run scripts/auto-prep.sh on schedule (cron every 2-4h recommended). The workflow:

  1. Fetches upcoming calendar events (next 24-48h based on config)
  2. Filters for events matching criteria (external attendees, duration >15min, etc.)
  3. Checks if already prepped (dedup against brief history)
  4. Researches each attendee: web search for LinkedIn, company site, recent news
  5. Generates briefing doc with sections: Attendees, Company Context, Talking Points, Icebreakers
  6. Stores brief and optionally delivers to configured channel

On-Demand Prep

# Research a specific meeting by calendar event ID
scripts/prep.sh "meeting-id-from-calendar"

# Research specific people by email
scripts/prep.sh "john@acme.com,sarah@bigcorp.io"

# Quick brief for imminent meeting
scripts/prep.sh "john@acme.com" --format telegram --send

Brief Structure

Generated briefs include:

📋 Meeting Overview

  • Title, time, duration, location/link
  • Objective (auto-detected or manual)

👥 Attendees (per person)

  • Name, title, company
  • Background highlights (education, previous roles, tenure)
  • Recent activity (posts, articles, company news)
  • Mutual connections (if detectable)
  • Conversation hooks (shared interests, recent wins)

🏢 Company Context

  • Recent news (funding, launches, leadership changes)
  • Industry position, competitors, challenges
  • Relevant talking points

💬 Icebreakers & Talking Points

  • Personalized conversation starters per attendee
  • Strategic questions to ask
  • Topics to avoid (if detected)

🎯 Your Prep Checklist

  • Key things to mention
  • Questions to have ready
  • Follow-up actions

Data Files

~/.config/meeting-prep/
├── config.json              # User configuration
├── briefs/                  # Generated briefing docs
│   ├── 2026-02-11-acme-intro.md
│   └── 2026-02-15-bigcorp-pitch.md
├── brief-history.json       # Dedup index (event → brief mapping)
└── prep-log.json            # Prep run history

Research Sources

Meeting Prep uses:

  • Web search: LinkedIn profiles, company pages, news articles
  • Web fetch: Company blogs, press releases, LinkedIn activity
  • Calendar metadata: Event titles, descriptions, attendee lists (via gog)
  • Future: CRM integration, internal notes, past meeting context

Cron Setup Example

# Auto-prep upcoming meetings every 3 hours
0 */3 * * * /Users/you/clawd/skills/meeting-prep/scripts/auto-prep.sh

# Morning brief delivery (7 AM daily)
0 7 * * * /Users/you/clawd/skills/meeting-prep/scripts/auto-prep.sh --morning-brief

Privacy & Ethics

  • Your data only: Researches public info about people you're *scheduled* to meet
  • No stalking: Only preps for confirmed calendar events or explicit requests
  • Opt-out friendly: Skip specific events by adding #noprep to event description
  • Transparent: Briefs cite sources; you see what the agent found

Pro Tips

  • Set advance time wisely: 2-4 hours before works well (too early = stale, too late = useless)
  • Customize icebreakers: Adjust tone in config (corporate vs startup vs casual)
  • Review briefs: Agent does the research, you add the human touch
  • Feedback loop: Mark what worked in briefs to improve future prep
  • Combine with agenda tools: Use Fellow/Hypercontext for *what* to discuss, Meeting Prep for *who* you're discussing with

Example Brief

# 🎯 Meeting Brief: Acme Corp Intro Call
**When:** Today at 2:00 PM (30 min)  
**Where:** Zoom (link in calendar)  
**Objective:** Partnership exploration

## 👥 Attendees

### John Martinez — VP of Product, Acme Corp
- **Background:** 8 years at Acme, prev. led product at DataFlow (acquired 2021)
- **Education:** Stanford CS, MBA from Wharton
- **Recent:** Posted on LinkedIn about AI integration challenges in SaaS (2 days ago)
- **Hook:** Shares your interest in automation; Acme just launched API platform

### Sarah Chen — Head of Partnerships, Acme Corp  
- **Background:** Joined 6mo ago from Google Cloud partnerships
- **Recent:** Spoke at SaaS Conference last week on strategic alliances
- **Mutual:** Connected to Jamie Lee (your former colleague at XYZ)
- **Hook:** Passionate about startups (angel investor, 5 companies)

## 🏢 Company Context

**Acme Corp** — B2B SaaS platform for workflow automation  
- **Recent news:** Series B $50M (Jan 15), TechCrunch coverage
- **Growth:** 200 → 350 employees in past year
- **Challenges:** Scaling integrations (mentioned in John's post)
- **Competitors:** Zapier, Make.com

## 💬 Icebreakers & Talking Points

**For John:**
- "Saw your post on AI integration pain points—we've been tackling similar challenges"
- Ask about the new API platform launch
- Mention DataFlow (his prev. company) if relevant angle emerges

**For Sarah:**
- "Jamie Lee mentioned you were doing great things at Acme!"
- Reference her SaaS Conference talk on alliances
- Her startup/angel background = rapport opportunity

**Strategic questions:**
- What's driving the push for more integrations right now?
- How do you typically evaluate partnership fit?
- What's been your biggest challenge since the Series B?

## 🎯 Your Prep Checklist

- ✅ Review our partnership deck (focus on integration angle)
- ✅ Have 2-3 customer stories ready (SaaS companies, automation wins)
- ✅ Prepare questions about their API roadmap
- ✅ Follow up: Connect with Sarah on LinkedIn post-call

---
*Brief generated by Meeting Prep • Sources: LinkedIn, TechCrunch, Acme blog*

When to Use Meeting Prep

  • Sales calls: Know your prospect before pitching
  • Investor meetings: Research partners, understand fund focus
  • New client kickoffs: Start with context, not cold
  • Networking events: Pre-game the attendee list
  • Job interviews: Research interviewers, not just the company
  • Conference meetings: Brief on everyone you're meeting at the event
  • Board meetings: Know new board members before they join

What Makes It Different

  • People-first: Most tools prep the *agenda*, this preps *the humans*
  • Automated: Runs in background, delivers briefs without you asking
  • Contextual: Not just LinkedIn stalking—connects dots, finds hooks
  • Actionable: Not a data dump—talking points you can actually use
  • Respectful: Public info only, ethically sourced, transparent

Stop walking into meetings blind. Let your agent do the homework. You bring the human connection.

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