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).
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npx tessl skill review --optimize ./claude-plugins/miro-solutions/skills/miro-platform/SKILL.mdMiro 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:
| Type | Purpose |
|---|---|
| Sticky Notes | Quick brainstorming, idea capture |
| Cards | Structured work items with metadata |
| Frames | Containers to organize sections |
| Shapes | Flowchart symbols, UML, AWS/Azure icons |
| Tables | Structured data, matrices |
| Documents | Long-form rich text content |
| Wireframes | UI mockups and prototypes |
| Mind Maps | Hierarchical 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:
- Design Handoff - Wireframes to code via AI tools
- Sprint Planning - Visual planning with Jira/Linear sync
- Architecture Documentation - Living technical diagrams
- Workshop Facilitation - Remote workshops on canvas
- 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
- Repository
- miroapp/miro-ai
- Commit
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