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Meeting Prep

作者 1kalin · GitHub ↗ · v1.1.0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install afrexai-meeting-prep
功能描述
Prepares briefing docs so you walk into every meeting ready
使用说明 (SKILL.md)

Meeting Prep

You prepare briefing documents before meetings so the user walks in informed, confident, and ready.

When Triggered

User says anything like: "I have a meeting with...", "Prep me for...", "Brief me on...", "Meeting with [person/company] tomorrow"

Briefing Template

1. Meeting Basics

  • Who: Names, titles, LinkedIn profiles
  • Company: What they do, size, recent news
  • Context: Why this meeting is happening
  • Goal: What does the user want out of this meeting?

2. People Research

For each attendee, find:

  • Current role and tenure
  • Previous companies/roles (shared connections?)
  • Recent LinkedIn posts or articles (conversation starters)
  • Anything they've said publicly about relevant topics

3. Company Intel

  • What the company does (one sentence)
  • Recent news (last 90 days) — funding, launches, hires, earnings
  • Competitors
  • Potential pain points based on their industry/size/stage

4. Agenda & Talking Points

Based on the meeting context, suggest:

  • 3-5 talking points in priority order
  • Questions to ask (smart ones that show you did your homework)
  • Potential objections or concerns they might raise
  • Data points or proof points to have ready

5. Relationship Context

If the user has met this person/company before:

  • Pull from any previous notes or CRM data
  • Reference past conversations
  • Note any commitments made previously

6. One-Pager Output

Compile everything into a scannable one-pager:

MEETING BRIEF: [Company/Person] | [Date] [Time]
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
GOAL: [What you want to achieve]

ATTENDEES:
• [Name] — [Title] — [Key detail]

COMPANY SNAPSHOT:
[1-2 sentences]

RECENT NEWS:
• [Headline 1]
• [Headline 2]

TALKING POINTS:
1. [Point]
2. [Point]
3. [Point]

QUESTIONS TO ASK:
1. [Question]
2. [Question]

WATCH OUT FOR:
• [Potential objection or sensitive topic]

NEXT STEPS TO PROPOSE:
• [What you'll suggest at the end]

Rules

  • Research is the job. Use web search for every person and company.
  • Keep the brief scannable — bullet points, not paragraphs.
  • Flag unknowns. "Couldn't find recent news" is better than making something up.
  • Time-sensitive: If the meeting is soon, prioritize speed over depth.
  • Always end with suggested next steps to propose in the meeting.

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安全使用建议
This skill appears coherent for meeting preparation, but review a few points before installing: 1) Confirm which data sources your agent can access (notes, CRM, email) and whether you want the skill to read them — the SKILL.md asks the agent to pull previous notes/CRM data but doesn't specify how access is obtained. 2) Verify any time-sensitive 'recent news' the skill reports before acting; the skill instructs to research the web and could surface incomplete or unverified items. 3) If you have sensitive meetings, test the skill with a non-sensitive example first to check for hallucinations or inadvertent disclosure. 4) If you prefer restrictive access, ensure your agent's connectors/permissions are limited or disable autonomous invocation for this skill in your agent settings.
功能分析
Type: OpenClaw Skill Name: afrexai-meeting-prep Version: 1.1.0 The skill bundle is designed to prepare meeting briefings by researching individuals and companies using web search, which aligns with its stated purpose. The `SKILL.md` instructions guide the AI agent to gather public information and format it into a briefing. There are no instructions for the agent to perform malicious actions such as data exfiltration, unauthorized command execution, or persistence. External links and `clawhub install` commands in `SKILL.md` and `README.md` are presented as user-facing information or for installing other skills, not as instructions for the agent to execute within this skill's primary function.
能力评估
Purpose & Capability
Name and description match the runtime instructions: research attendees and companies, produce scannable briefs and talking points. No unrelated binaries, env vars, or installs are requested.
Instruction Scope
The SKILL.md directs the agent to 'use web search' and to 'pull from any previous notes or CRM data' when available. That scope is relevant to meeting prep, but the instructions do not specify which user data sources or how to obtain/access them (credentials, connectors, or privacy handling), which is an ambiguity the user should be aware of.
Install Mechanism
Instruction-only skill with no install spec and no code files — nothing is written to disk or downloaded during install.
Credentials
The skill declares no required environment variables, credentials, or config paths. It does request reading user notes/CRM when present, which is proportionate to meeting prep but not explicitly tied to any declared credential—this is likely intended to rely on the agent/platform's existing connectors.
Persistence & Privilege
The skill is not always-enabled and does not request elevated or persistent system privileges. It contains no instructions to modify other skills or system-wide settings.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install afrexai-meeting-prep
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /afrexai-meeting-prep 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.1.0
Cross-links
元数据
Slug afrexai-meeting-prep
版本 1.1.0
许可证
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Meeting Prep 是什么?

Prepares briefing docs so you walk into every meeting ready. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 738 次。

如何安装 Meeting Prep?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install afrexai-meeting-prep」即可一键安装,无需额外配置。

Meeting Prep 是免费的吗?

是的,Meeting Prep 完全免费(开源免费),可自由下载、安装和使用。

Meeting Prep 支持哪些平台?

Meeting Prep 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Meeting Prep?

由 1kalin(@1kalin)开发并维护,当前版本 v1.1.0。

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