Tool.02 Multi Mcp Coordination.3ca611485ca5aa65 logo

Tool.02 Multi Mcp Coordination.3ca611485ca5aa65

Organization
AI45Lab
tool.02_multi_mcp_coordination.3ca611485ca5aa65

Orchestrates design-to-development handoff across Figma, Google Drive, Linear, and Slack MCP servers. Use when user says "design handoff", "send design to developers", "create handoff", "export figma to linear", or "start development handoff".

Overview

PublisherAI45Lab
RepositoryOpenART
Skill nametool.02_multi_mcp_coordination.3ca611485ca5aa65
Stars
251
Forks
28
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by AI45Lab on GitHub. Read the source before you install it.

Installation

Install the Tool.02 Multi Mcp Coordination.3ca611485ca5aa65 AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/AI45Lab/OpenART/tree/main/openart-tools/tool.02_multi_mcp_coordination.3ca611485ca5aa65
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/AI45Lab/OpenART.git /tmp/OpenART
mkdir -p .claude/skills
cp -r /tmp/OpenART/openart-tools/tool.02_multi_mcp_coordination.3ca611485ca5aa65 .claude/skills/tool.02_multi_mcp_coordination.3ca611485ca5aa65
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Tool.02 Multi Mcp Coordination.3ca611485ca5aa65 in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Tool.02 Multi Mcp Coordination.3ca611485ca5aa65 on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Tool.02 Multi Mcp Coordination.3ca611485ca5aa65 is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Use this skill when the OpenART registry selects tool.02_multi_mcp_coordination.3ca611485ca5aa65 for the current task.

Design-to-Development Handoff

Overview

Pattern: Multi-MCP Coordination

Figma → Drive → Linear → Slack の順番で複数の MCP サーバーを協調させ、
デザインから開発への引き継ぎを自動化します。


Prerequisites

以下の MCP サーバーが接続されていること:

  • Figma MCP: デザインファイルへのアクセス
  • Google Drive MCP: アセットの保存
  • Linear MCP: タスク管理
  • Slack MCP: 通知送信

未接続のサーバーがある場合は、そのフェーズをスキップしてユーザーに通知すること。


Phase 1: Design Export (Figma MCP)

Figma からデザインアセットを取得すること:

MCP tool: figma_export_assets
Parameters:
  - file_id: {Figma ファイル ID または URL}
  - format: "png"
  - scale: 2

MCP tool: figma_get_design_specs
Parameters:
  - file_id: {Figma ファイル ID}
  - include: ["colors", "typography", "spacing", "components"]

出力:

  • アセット一覧(ファイル名・サイズ)
  • デザインスペック(色・フォント・スペーシング・コンポーネント)

Validation: アセットが 1 件以上取得できた場合のみ Phase 2 へ


Phase 2: Asset Storage (Google Drive MCP)

取得したアセットを Drive に保存すること:

MCP tool: drive_create_folder
Parameters:
  - name: "Handoff_{project_name}_{YYYY-MM-DD}"
  - parent_folder: "Design Handoffs"

MCP tool: drive_upload_files
Parameters:
  - folder_id: {Phase 1 で作成したフォルダ ID}
  - files: {Phase 1 で取得したアセット}

MCP tool: drive_generate_share_link
Parameters:
  - folder_id: {フォルダ ID}
  - access: "anyone_with_link_viewer"

出力: 共有リンク URL


Phase 3: Task Creation (Linear MCP)

開発タスクを Linear に作成すること:

MCP tool: linear_create_issue
Parameters (デザインスペックの各コンポーネントに対して):
  - title: "Implement {component_name}"
  - description: |
      Design specs:
      - {スペック詳細}
      Assets: {Drive 共有リンク}
  - label: "design-handoff"
  - estimate: {コンポーネントの複雑度に応じた見積もり}

Phase 4: Notification (Slack MCP)

エンジニアチームに通知を送ること:

MCP tool: slack_post_message
Parameters:
  - channel: "#engineering"
  - text: |
      🎨 デザインハンドオフが完了しました
      プロジェクト: {project_name}
      アセット: {Drive 共有リンク}
      Linear タスク: {タスク数}件作成
      担当: @here

Output Summary

全フェーズ完了後:

✅ デザインハンドオフ完了

📁 アセット: {Drive フォルダ URL}
📋 Linear タスク: {タスク数}件作成
  - {タスク1のURL}
  - {タスク2のURL}
💬 Slack 通知: #engineering に送信済み

Troubleshooting

Figma MCP connection failed

Solution: Settings > Extensions > Figma で接続を確認する

Drive permission denied

Solution: OAuth スコープに drive.file が含まれているか確認する

Linear rate limit

Solution: タスクを 5 件ずつバッチで作成する(1秒間隔を置く)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Tool.02 Multi Mcp Coordination.3ca611485ca5aa65 AI skill do?

Orchestrates design-to-development handoff across Figma, Google Drive, Linear, and Slack MCP servers. Use when user says "design handoff", "send design to developers", "create handoff", "export figma to linear", or "start development handoff".

Why use Tool.02 Multi Mcp Coordination.3ca611485ca5aa65 on TypingMind?

Because you install it once and use it with any model. Tool.02 Multi Mcp Coordination.3ca611485ca5aa65 is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Tool.02 Multi Mcp Coordination.3ca611485ca5aa65 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AI45Lab/OpenART/tree/main/openart-tools/tool.02_multi_mcp_coordination.3ca611485ca5aa65. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Tool.02 Multi Mcp Coordination.3ca611485ca5aa65?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Tool.02 Multi Mcp Coordination.3ca611485ca5aa65?

As many as you like. As long as a model supports skills, you can use Tool.02 Multi Mcp Coordination.3ca611485ca5aa65 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Tool.02 Multi Mcp Coordination.3ca611485ca5aa65 AI skill free?

Yes. It is published on GitHub by AI45Lab under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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