20 Notion Meeting Intelligence alternatives
Notion Meeting Intelligence: Notion's official meeting-prep skill: searches the workspace for context, enriches it with research, then writes an internal pre-read and an external agenda back into Notion. 20 agent skills do similar work, most sharing MCP, Productivity and Documentation, ranked by how much they have in common with Notion Meeting Intelligence.
Back to Notion Meeting Intelligence
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by Matt Pocock
Compress the current Claude Code session into a portable handoff document so a fresh agent can continue the work without re-reading the whole conversation.
Also: Documentation, Productivity
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by Google Labs (Stitch)
Google's official Stitch skill for distilling a project into a DESIGN.md — a semantic design system agents can read before they generate anything.
Also: Documentation, MCP
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by ayghri
An output-style skill that stops a coding agent burying the answer: action first, numbered steps, state restated every turn, no preamble or filler.
Also: Productivity
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by Basecamp
Drive a HEY account from an agent through the HEY CLI — Imbox and screener, threads, replies, drafts, contacts, calendar, todos, habits, time tracking and journal entries.
Also: Productivity
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by Anthropic
Write internal company communications in the formats your organization prefers — announcements, updates, and team messages.
Also: Productivity
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by Google Workspace
Google's official skill for the gws CLI — drive Gmail, Drive, Calendar, Sheets, Docs, Chat and Admin APIs from an agent, with Model Armor screening.
Also: Productivity
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by Anthropic
Open, create, and edit spreadsheets — formulas, formatting, charts, data cleaning, and CSV/TSV conversion.
Also: Productivity
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by Anthropic
Build, read, and edit PowerPoint presentations — slides, layouts, templates, speaker notes, and comments.
Also: Productivity
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by Anthropic
Create, read, and edit Microsoft Word documents — headings, tables of contents, page numbers, letterheads, tracked changes, comments, and images.
Also: Productivity
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by Every App, Inc.
Turns seed topics into a prioritised keyword set using live OpenSEO MCP data — volume, difficulty and SERP evidence instead of an agent guessing at search demand.
Also: MCP
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by Google Labs (Stitch)
Google's official Stitch skill for generating and editing UI screens from text or images — with a mandatory prompt-enhancement pipeline before every call.
Also: MCP
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by SerpApi
A protocol for measuring whether agents can discover and use your tool without being told about it — WITH/WITHOUT trials, binary scoring, and lift as the only metric. The subject under test is your docs, not the model.
Also: MCP
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by OpenAI
OpenAI's skill for driving Linear through its MCP server: a read-first workflow for issue triage, sprint planning, documentation audits and workload balancing, with the MCP setup and OAuth steps written out.
Also: MCP
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by Google Labs (Stitch)
Google's official Stitch build skill for shadcn/ui — component discovery, installation, customisation and the conventions that keep a generated UI idiomatic.
Also: MCP
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by Google Labs (Stitch)
Google's official Stitch skill for autonomous multi-page site building — a baton file carries the next task from one agent iteration to the next.
Also: MCP
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by Google Labs (Stitch)
Google's official Stitch skill that reverses the usual direction — turns an existing React, Vue, Angular or Vite front end back into an editable Stitch design.
Also: MCP
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by Microsoft
Microsoft's official plugin that generates codeful MCP tools — a self-contained JS runtime plus JSON Schema metadata — and single-file HTML widgets to visualise their results.
Also: MCP
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by Cloudflare
Audits Core Web Vitals through the Chrome DevTools MCP server — LCP, INP, CLS plus FCP, TBT and Speed Index — and traces each one back to the render-blocking resource or layout shift causing it.
Also: MCP
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by Apollo GraphQL
Sets up Apollo MCP Server so an AI agent can call a GraphQL API as MCP tools — defining tools from named operations, or exposing introspect/search/validate/execute for open-ended schemas.
Also: MCP
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by Agnost AI
Walks a coding agent through wiring Agnost AI conversation analytics into a Python or TypeScript app — inspecting existing OpenTelemetry first and only adding an SDK when the traces are not usable.
Also: MCP
