PrepMaster Intelligent Meeting Prep Assistant
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About this skill
Problem Solved
Meeting prep often stalls when materials are scattered, attendee context is unclear, and agendas are assembled ad hoc. PrepMaster targets CLI workflows and turns a meeting topic into an actionable prep report, reducing manual reformatting of internal notes.
Core Capabilities
- Structured output: agenda, preparation checklist, attendee analysis, historical materials, risk notes, and minutes template.
- Meeting type matching: fuzzy matching across 14 types, such as
strategic review,product review, andinvestor pitch, with Chinese and English aliases. - Local execution: Python 3.8+, no network dependency, suitable for internal text-based materials.
- Tone control:
business,friendly, andcasualstyles for formal reporting, internal collaboration, or lightweight discussions.
Boundaries
- Supports
.txt,.md,.csv,.json, and.log;.docxand.pdfare not currently supported. - When attendees exceed 20, groups of 8 are proposed with a speaker suggestion; complex stakeholder relationships still need manual review.
- Output is plain text rather than PDF/Word, best copied into documentation tools or read in a terminal.
Use Cases
- Before a product review, turn PRD highlights, review questions, and a minutes template into a quick agenda.
- Before a cross-team meeting, generate a checklist, risk notes, and 8-person grouping with speaker suggestions.
- Prepare for an investor pitch by matching the meeting type and producing a formal tone plus a minutes template.
- Before a standup, organize yesterday's updates, blockers, and today's plan into a 15-minute agenda and minutes.
Best For
- Engineering leads who run weekly project meetings and need discussion items, action items, and minutes prepared in advance.
- Product managers preparing reviews who need PRD points, review risks, and checklists turned into an agenda.
- Business or fundraising leads preparing client proposals or investor pitches who need a formal tone and structured minutes.
- Ops or meeting coordinators who process meeting text locally without network-dependent services.
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