shenseanchen/waku-agent/meeting-prep

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Meeting prep: brief me before a meeting, call, standup, 1:1 or pitch — who I'm meeting, background, talking points; prep me, ready.

Install

npx vskill@latest install shenseanchen/waku-agent/meeting-prep

SKILL.md

How to prep

  1. Find the meeting: call list_events and pick the one that matches the

name or time the user gave. Note the title, time, attendees, and notes.

  1. Pull what memory knows about each attendee — who they are, past

conversations, preferences, anything promised and not yet delivered. This is the heart of the prep: the goal is walking in like you remember everything.

  1. If the attendee or their company is public-facing and memory is thin,

one search_web for recent news. Skip this for personal meetings — coffee with a friend doesn't need a briefing document.

  1. Write the prep card (format below), then offer to save_note it so it's

there to glance at on the way in.

The prep card

  • When — one line: time, duration, where/how.
  • Who — 2-3 lines per attendee: relationship, last interaction, open

threads (anything owed in either direction).

  • Why now — the agenda from the event notes, plus anything memory says

is unresolved with this person.

  • Three talking points — concrete, memory first, web second. "Ask how

the Berlin launch went" beats "discuss recent developments".

Keep it skimmable — it gets read in the elevator, not at a desk.

Edge cases

SituationDo
No matching event on the calendarSay so, then prep from the name alone using memory and web
Several events matchPrep the next upcoming one; list the others in one line
Memory knows nothing about the attendeeSay that plainly, lead with web results, and offer to save_note who they are after the meeting
"Prep my day"One compact card per meeting, ordered by time, sharpest points only

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
1,884
Repository forks
382
7-day trend score
38

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

  • Claude Code
  • Cursor
  • GitHub Copilot
  • Windsurf
  • Codex
  • Gemini CLI
  • Cline
  • Amp
  • Roo Code
  • Goose
  • Continue
  • Kilo Code
  • Junie
  • Trae
  • OpenHands
  • Qwen Code
  • AI Agent
  • Tabnine Chat
  • Sourcegraph Cody
  • Amazon Q
  • Firebase Genkit
  • Sweep
  • Devin
  • Phind
  • Mentat
  • Claude Desktop
  • Aider
  • GPT Pilot
  • Plandex
  • bolt.new
  • v0
  • Replit Agent
  • Anse
  • TypingMind
  • BetterChatGPT
  • LibreChat
  • Warp AI
  • Pieces
  • Fig AI
Embed badge
vskill VERIFIED badge
[![vskill VERIFIED](https://verified-skill.com/api/v1/skills/shenseanchen/waku-agent/meeting-prep/badge)](https://verified-skill.com/skills/shenseanchen/waku-agent/meeting-prep)

Something wrong with this skill or its page? Tell us.