mirobody

🥈Silver

MiroBody is an open-source AI-native data engine for personal data. It enables operations teams to automate data processing and analysis. It connects to Python workflows and supports Claude agents. Use it to streamline data handling and improve operational efficiency.

8021060Updated Today

Intermediate30min to implementautomation

Saves ~15 min per use

Quick InstallView Source

git clone https://github.com/thetahealth/mirobody.git

Works with:

Claude

Overview

About This Skill

https://mirobody.ai

Use Cases

Develop custom health analysis tools that integrate with personal health data from various devices.

Create conversational agents that provide personalized responses based on user-specific data.

Automate data analysis processes using Python scripts that can be easily integrated into the Mirobody framework.

Build finance or legal assistants that utilize personal data to offer tailored advice and insights.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/thetahealth/mirobody

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

Automate the creation of a Miro board for [PROJECT NAME]. Include the following elements: [ELEMENTS] such as sticky notes, shapes, and connectors. Ensure that the layout is organized and visually appealing, and provide a brief description for each element based on [DESCRIPTION CRITERIA].

Example Output

For the project 'Team Collaboration Workshop', the Miro board is set up with the following elements: 
- Sticky notes labeled 'Icebreaker Ideas', 'Group Discussion Topics', and 'Action Items'. Each sticky note has a brief description: 'Icebreaker Ideas' includes suggestions like 'Two Truths and a Lie' and 'Speed Networking'. 'Group Discussion Topics' features points like 'Remote Work Challenges' and 'Team Building Strategies'. The layout is organized with sticky notes grouped by color for easy identification, and connectors linking related ideas to enhance visual flow. Shapes are used to highlight key sections, and a title banner at the top reads 'Team Collaboration Workshop'.