miro-platform

Comprehensive guide to Miro as a visual collaboration platform. Covers canvas features, content types, AI capabilities, and enterprise use cases. For MCP tool documentation, see the miro plugin's skill (miro-mcp).

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "miro-platform" with this command: npx skills add miroapp/miro-ai/miroapp-miro-ai-miro-platform

Miro Platform Guide

What is Miro?

Miro is the visual collaboration platform for every team. With an infinite canvas, 100M+ users across 250K+ organizations use Miro for brainstorming, planning, design, and cross-functional collaboration.

In 2025, Miro became the "AI Innovation Workspace" - an AI-first platform where teams work together with AI on one shared canvas.

Platform Capabilities

  • Infinite Canvas - Unlimited workspace that scales from quick sketches to enterprise documentation
  • Real-time Collaboration - Cursor tracking, video chat, comments, voting, timers
  • 300+ Templates - Pre-built frameworks for common workflows
  • 160+ Integrations - Connects to Jira, Figma, Slack, Teams, and more

What's on a Miro Board?

Miro boards contain diverse content types for different purposes:

TypePurpose
Sticky NotesQuick brainstorming, idea capture
CardsStructured work items with metadata
FramesContainers to organize sections
ShapesFlowchart symbols, UML, AWS/Azure icons
TablesStructured data, matrices
DocumentsLong-form rich text content
WireframesUI mockups and prototypes
Mind MapsHierarchical brainstorming

See Content Types for detailed descriptions and business value.

Miro AI

Miro is an AI-first platform with several AI capabilities:

  • Flows - Visual AI workflows that automate multi-step processes
  • Sidekicks - Conversational AI agents with task expertise
  • AI Diagram Generation - Create diagrams from natural language
  • Model Selection - Enterprise customers choose from OpenAI, Anthropic, Gemini

See AI Capabilities for details.

Design-to-Code with Miro

Miro Specs converts team context (user stories, wireframes, architecture) into technical specifications that AI coding tools can consume:

  • Capture PRDs, wireframes, and technical diagrams
  • Send specs to GitHub Copilot, Cursor, Claude Code, Windsurf, Lovable
  • External AI agents read board context via MCP integration

See Design-to-Code for workflows.

Enterprise Use Cases

Common patterns for enterprise Miro adoption:

  1. Design Handoff - Wireframes to code via AI tools
  2. Sprint Planning - Visual planning with Jira/Linear sync
  3. Architecture Documentation - Living technical diagrams
  4. Workshop Facilitation - Remote workshops on canvas
  5. Knowledge Base - Visual and written documentation hub

See Enterprise Use Cases for implementation patterns.

MCP Tools

For Miro MCP tool documentation (how to read/write to boards programmatically), see the miro plugin's skill (miro-mcp) which is installed separately. The MCP tools enable:

  • Creating diagrams, documents, and tables
  • Reading board content and extracting documentation
  • Syncing external data to Miro tables
  • Browsing and filtering board items

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

General

miro-mcp

No summary provided by upstream source.

Repository SourceNeeds Review
General

documentation-structure

No summary provided by upstream source.

Repository SourceNeeds Review
General

miro-spec-guide

No summary provided by upstream source.

Repository SourceNeeds Review
Coding

miro-code-review

No summary provided by upstream source.

Repository SourceNeeds Review