bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Prepares briefing docs so you walk into every meeting ready
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install 1kalin/ai-meeting-prepInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
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]
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
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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