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Miro Automation

Automate Miro: boards, sticky notes, shapes, connectors, and items.

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What Miro Automation Does

Miro Automation is a Claude skill that enables AI agents to programmatically control Miro boards, automating the creation and manipulation of visual elements like sticky notes, shapes, connectors, and items. This skill bridges the gap between Claude’s language capabilities and Miro’s collaborative whiteboarding platform, allowing agents to generate structured diagrams, organize information visually, and create interactive board layouts without manual interaction. It’s designed for product designers, UX researchers, project managers, and teams using Miro for brainstorming, planning, and documentation who want to integrate AI-powered automation into their workflow.

The skill is particularly valuable for teams that need to rapidly populate boards with structured content, generate visual representations of complex information, or create template-based board layouts. Whether you’re building an AI assistant that designs user journeys, organizes research findings, or creates sprint planning boards, Miro Automation handles the technical complexity of board manipulation through simple, agent-friendly commands.

How to Install

Installation Steps

  1. Verify Claude Skills environment: Ensure you have access to Claude through Composio or a compatible AI agent platform that supports custom skills.

  2. Clone or download the skill: Navigate to the ComposioHQ GitHub repository and download the miro-automation skill folder.

  3. Install dependencies: If your environment requires it, install any required Python packages by running:

    pip install -r requirements.txt

  4. Authenticate with Miro:

    • Log into your Miro account and navigate to Settings > API & Integrations
    • Create a new application and generate an API token or OAuth credentials
    • Store the token securely in your environment variables as MIRO_API_TOKEN

  5. Register the skill with your agent: Add the Miro Automation skill to your Claude agent configuration by including the skill’s directory path or package reference in your agent setup.

  6. Test the connection: Use a simple test prompt to verify the skill is working: “Create a sticky note on my Miro board that says ‘Test’.”

  7. Configure permissions: Ensure your Miro API token has permissions to read and write boards, create elements, and manage board items.

Use Cases

  • Automated UX Research Documentation: Convert interview transcripts and research notes into organized Miro boards with sticky notes, user journey flows, and affinity mapping—transforming raw data into visual insights without manual board setup.
  • Sprint Planning Automation: Populate sprint planning boards with user stories, acceptance criteria, and task breakdowns parsed from your issue tracker, with automatic shape styling and connector relationships.
  • Brainstorm Facilitation: Generate initial brainstorm boards populated with keyword clusters, idea categories, and voting templates before team sessions, reducing setup time and focusing discussions on ideation.
  • Template-Based Diagram Generation: Create standardized diagrams like system architecture, data flow, or org charts by defining data structures—Miro Automation renders them as connected shapes and connectors.
  • Competitive Analysis Boards: Automatically populate comparison matrices, feature grids, and competitive positioning maps by pulling product data, creating professional analysis boards in seconds.

How It Works

Miro Automation operates by translating Claude’s natural language instructions into Miro API calls. When you prompt an agent with a request like “Create a user journey with stages labeled Awareness, Consideration, Decision, and Retention,” the skill parses the intent, constructs the necessary API requests, and executes them against your Miro workspace. The skill maintains context about board structure, element positioning, and relationships between objects.

Under the hood, the skill provides Claude with actions that map to Miro’s core objects: boards (containers), frames (organizational sections), shapes (visual elements), sticky notes (text containers), connectors (relationships), and items (board elements). Each action accepts parameters like position coordinates, text content, styling, and connections. The skill handles coordinate calculation, layer management, and board refresh to ensure elements appear correctly organized.

The skill works through Miro’s REST API, which requires authentication. It manages session state, allowing multi-step operations where Claude can create a base structure, then add details, connectors, and styling in subsequent calls. Error handling ensures that if an operation fails—like positioning an element outside board bounds—the skill provides feedback to Claude so it can retry with adjusted parameters. This enables autonomous, multi-turn workflows where agents can ask clarifying questions or iterate based on results.

Pros and Cons

Pros:

  • Rapid board generation: Populate complex boards in seconds rather than minutes of manual work
  • AI-powered reasoning: Claude can understand context and create logical layouts, not just templated structures
  • Consistency and quality: Automated boards follow consistent styling, naming, and organization patterns
  • Integration with workflows: Seamlessly combine Miro automation with other Claude skills and data sources
  • Reduced cognitive load: Focus on strategy and content while the agent handles visual organization
  • Iterable process: Easy to refine and regenerate boards based on feedback without starting over

Cons:

  • Requires API authentication: Initial setup requires generating and managing Miro API tokens
  • Rate limiting: Large-scale automations may hit API limits and require distributed operations
  • Complex layouts may need iteration: Very intricate designs might require multiple refinement cycles
  • Dependency on API stability: Board creation depends on Miro’s API uptime and performance
  • Learning curve for agents: Claude needs clear, specific prompts to generate desired board structures
  • Limited real-time collaboration during automation: Automated creation doesn’t include live team interactions
  • Slack Automation: Post board updates and automation results to Slack channels for team notification and integration with communication workflows.
  • Jira Integration: Sync user stories and tasks from Jira to populate Miro boards with structured project data.
  • Google Sheets Connector: Pull data from spreadsheets to auto-populate Miro boards with research data, competitive analysis, or survey results.
  • Figma to Miro Bridge: Export design components and wireframes from Figma to create Miro-based design documentation and collaboration boards.
  • Notion Sync: Synchronize documentation and research from Notion databases into organized Miro board structures.

Alternatives

  • Manual Board Creation: Directly building boards in Miro’s UI—slower but offers full creative control and real-time collaboration features. Best for one-off boards or highly custom layouts.
  • Zapier/Make Integrations: Generic automation platforms that can populate Miro boards but require pre-built templates and offer less AI-powered flexibility than Claude agents.
  • Custom API Scripts: Writing direct Python or JavaScript scripts against Miro’s API—more complex but provides complete control for developers who don’t need AI reasoning.
Glossary

Key terms

API Token
A secure credential that authorizes your applications to access Miro on your behalf. Generated from Miro's developer settings and required to authenticate all automation requests.
Board
The main Miro workspace where all visual elements (sticky notes, shapes, connectors) live. Each board has a unique ID and can contain multiple frames and organizational layers.
Connector
A visual line or arrow element in Miro that represents relationships, dependencies, or flow between shapes and other board elements. Often used to show process flows or dependencies.
Sticky Note
A text-containing element in Miro that mimics physical sticky notes. Used for quick ideas, tasks, feedback, or any brief text-based content on the board.
Rate Limiting
Miro's API restriction that limits the number of requests you can make in a given time period. Automation that creates many elements may need to be distributed across multiple operations to stay within limits.
FAQ

Frequently Asked Questions

How do I install Miro Automation for Claude?

Download the skill from the ComposioHQ GitHub repository, set up your Miro API token in environment variables, and register it with your Claude agent platform. Detailed steps are in the Installation section above.

What Miro elements can I automate with this skill?

You can create and modify sticky notes, shapes (rectangles, circles, lines), connectors, text elements, and manage board organization through frames. You can also adjust styling, positioning, and create relationships between elements.

Can I automate existing Miro boards or only create new ones?

The skill can work with existing boards if you provide the board ID. You can add new elements, modify existing ones, and organize content within established boards, making it useful for populating templates and enhancing current work.

How does Miro Automation handle positioning of elements on the board?

The skill uses coordinate-based positioning (x, y coordinates) to place elements. When you request automation, Claude calculates logical positioning based on your description—for example, arranging items in a grid or linear flow. Complex layouts may require iterative refinement.

Is there a limit to how many elements I can create at once?

Miro's API has rate limits and board complexity constraints. The skill works best for creating 50-500 elements per automation run. For very large boards, breaking the task into multiple operations is recommended.

How do I connect my API token securely?

Store your Miro API token as an environment variable (e.g., `MIRO_API_TOKEN`) rather than hardcoding it. Use your platform's secrets management to keep credentials secure. Never share tokens in prompts or code.

Can I style elements (colors, fonts, sizes) through automation?

Yes, the skill supports styling parameters including fill colors, stroke colors, font sizes, text alignment, and element dimensions. You can create branded, consistent board layouts through automation.

What should I do if automation fails or elements appear incorrectly?

Check your API token permissions, verify board ID is correct, and review error messages from the skill. Common issues include coordinate overflow (elements outside board bounds) or rate limiting. Retry with adjusted parameters or request Claude to validate the board state.

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