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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).

Install with Tessl CLI

npx tessl i github:miroapp/miro-ai --skill miro-platform
What are skills?

45

Quality

31%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

Optimize this skill with Tessl

npx tessl skill review --optimize ./claude-plugins/miro-solutions/skills/miro-platform/SKILL.md
SKILL.md
Review
Evals

Evaluation results

100%

39%

E-Commerce Platform Visual Documentation

AI diagram notation formats

Criteria
Without context
With context

Mermaid notation used

100%

100%

Mermaid arrow syntax

100%

100%

PlantUML notation used

0%

100%

PlantUML closing delimiter

0%

100%

Natural language format used

0%

100%

Process flow diagram

100%

100%

Sequence diagram included

100%

100%

Data model diagram included

100%

100%

PlantUML used for UML types

0%

100%

Mermaid used for flowchart

100%

100%

Three distinct diagrams

100%

100%

Without context: $0.5938 · 41m 2s · 15 turns · 162 in / 4,177 out tokens

With context: $0.2969 · 33m 25s · 14 turns · 106 in / 3,319 out tokens

100%

5%

Claude Code + Miro Developer Guide

MCP board reading workflow

Criteria
Without context
With context

context_explore as first step

100%

100%

context_get with specific URLs

60%

100%

Frames over whole boards

90%

100%

code_create_from_board prompt

100%

100%

code_explain_on_board prompt

100%

100%

context_explore described as discovery

100%

100%

context_get described as detail retrieval

100%

100%

Correct tool ordering

100%

100%

Exact MCP tool names

100%

100%

Exact prompt names

100%

100%

Without context: $1.4453 · 21m 46s · 17 turns · 444 in / 5,735 out tokens

With context: $0.4037 · 16m · 17 turns · 3,427 in / 5,130 out tokens

80%

15%

Miro Board Standards Guide for Cross-Functional Teams

Board organization best practices

Criteria
Without context
With context

Frame naming conventions

100%

100%

Requirements near wireframes

41%

58%

State diagrams for complex interactions

0%

50%

Design decisions in text elements

90%

100%

PRDs close to wireframes

33%

41%

Acceptance criteria linked to UI elements

41%

83%

Edge cases and error states

100%

100%

Living documentation

100%

100%

Multi-role coverage

100%

100%

Frame-based board structure

100%

100%

Without context: $0.2393 · 26m 3s · 7 turns · 57 in / 4,868 out tokens

With context: $0.4099 · 18m 34s · 17 turns · 1,588 in / 5,491 out tokens

Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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