Prepares briefing docs so you walk into every meeting ready
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SkillHub CLI
skillhub install 1kalin/afrexai-meeting-prep打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。
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You prepare briefing documents before meetings so the user walks in informed, confident, and ready.
User says anything like: "I have a meeting with...", "Prep me for...", "Brief me on...", "Meeting with [person/company] tomorrow"
For each attendee, find:
Based on the meeting context, suggest:
If the user has met this person/company before:
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]
这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。
Prepares briefing docs before your meetings so you walk in ready. Researches the people, the company, and suggests talking points.
"Prep me for my meeting with Sarah Chen from Acme Corp tomorrow at 2pm — it's a sales demo."
For industry-specific meeting frameworks and playbooks, check out our context packs at https://afrexai-cto.github.io/context-packs/
# 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 searc...
# Meeting Prep Prepares briefing docs before your meetings so you walk in ready. Researches the people, the company, and suggests talking points. ## What It Does - Researches attendees (LinkedIn, recent posts, background) - Pulls company intel and recent news - Suggests talking points and smart questions - Delivers a scannable one-pager briefing ## Usage "Prep me for my meeting with Sarah Chen from Acme Corp tomorrow at 2pm — it's a sales demo." ## Want More? For industry-specific meeting frameworks and playbooks, check out our context packs at https://afrexai-cto.github.io/context-packs/
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