bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Connect OpenClaw agents to Miro via Model Context Protocol (MCP). Use when generating diagrams, visualizing code, brainstorming board layouts, or integrating Miro into AI-powered design workflows. Supports OAuth 2.1 authentication, 14+ MCP-compatible clients (Cursor, Claude Code, Replit, Lovable, VSCode/Copilot, Gemini CLI, Windsurf, Kiro CLI, Amazon Q, others). Best for design thinking, architecture visualization, project planning, collaborative ideation.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install bigbubbaagent-bot/miro-mcp打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Miro MCP enables AI agents to read from and write to Miro boards via the Model Context Protocol—an open standard for AI-external system integration. Your agent can generate diagrams, analyze board content, and create code from visual designs.
Prerequisites:
Minimal Setup:
url: https://mcp.miro.com/
Quick Example:
Prompt: "Summarize the content on this board: https://miro.com/app/board/uXjVGAeRkgI=/"
Result: Agent reads board items and returns a summary
See references/mcp-connection.md for detailed setup instructions per client.
Miro MCP supports two primary use cases: diagram generation and code generation.
Generate visual diagrams directly on Miro boards from code, PRDs, or text descriptions:
Tool: Use code_explain_on_board prompt or diagram_create tool with DSL (flowchart, UML class/sequence, ERD).
Generate working code from board content:
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# Miro MCP Integration ## Quick Start Miro MCP enables AI agents to read from and write to Miro boards via the Model Context Protocol—an open standard for AI-external system integration. Your agent can generate diagrams, analyze board content, and create code from visual designs. **Prerequisites:** - MCP-capable client (Cursor, Claude Code, Replit, Lovable, VSCode, etc.) - OAuth 2.1 support in your client - Active Miro workspace access **Minimal Setup:** 1. Add MCP configuration: `url: https://mcp.miro.com/` 2. Click "Connect" and authenticate via OAuth 2.1 3. Select your Miro team during OAuth flow 4. Start prompting with board URLs **Quick Example:** ``` Prompt: "Summarize the content on this board: https://miro.com/app/board/uXjVGAeRkgI=/" Result: Agent reads board items and returns a summary ``` See [references/mcp-connection.md](references/mcp-connection.md) for detailed setup instructions per client. ## Core Capabilities Miro MCP supports two primary use cases: **diagram generation** and **code generation**. ### Diagram Generation Generate visual diagrams directly on Miro boards from code, PRDs, or text descriptions: - **From Code:** Provide repository URLs or code snippets → agent generates architecture/data flow diagrams (UML, flowchart, ERD) - **From PRDs:** Share product requirement documents → agent creates visual workflows, user flows, state diagrams - **From Text:** Describe a system → agent visualizes it as architecture or sequence diagram - **From GitHub URLs:** Agent analyzes GitHub repos and generates architectural diagrams Tool: Use `code_explain_on_board` prompt or `diagram_create` tool with DSL (flowchart, UML class/sequence, ERD). ### Code Generation Generate working code from board content: - **PRD to Code:** Board contains product requirements → agent generates documentation + implementation guidance - **Diagram to Code:** Architecture diagram on board → agent generates code structure matching the design - **Prototype to Code:** P...
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...
Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.
Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.