Overview
- Skill Key
- cai-zhuo/materials-workbench
- Author
- cai-zhuo
- Source Repo
- openclaw/skills
- Version
- 1.0.0
- Source Path
- skills/cai-zhuo/materials-workbench
- Latest Commit SHA
- 3d67ed71b9c8866933bbb1e54bd7df70c2246c15
Materials editor workbench — React UI and Express server to render JSON schemas to images and generate schemas with AI (declare-render + materials-agents).
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直接复制以下提示词,发送给你的 AI 助手即可完成安装。
请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 materials-workbench 技能。 若已安装,则直接安装 materials-workbench 技能。
# Materials Workbench Use this skill when the user wants to run the materials editor workbench: a local web app with a React client and Express server that renders JSON schemas to images (declare-render) and can generate or edit schemas using AI (materials-agents). ## What it is - **Client** — React + Vite app for editing and previewing render schemas. - **Server** — Express API that renders schemas to PNG/JPG and uses materials-agents (OpenAI) for schema generation or refinement. ## When to use - User wants to "run the workbench", "start the materials editor", or "open the schema editor UI". - User needs a local dev environment for rendering schemas and AI-assisted schema creation. ## Run From the workbench root: ```bash pnpm install pnpm run install:all # install root, server, and client deps pnpm run dev # start server + client (concurrently) ``` - Client usually: http://localhost:5173 - Server usually: http://localhost:3000 (or port in server config) Set `OPENAI_API_KEY` for AI/generate features. ## Project layout - `client/` — React frontend (Vite). - `server/` — Express backend (declare-render, materials-agents, canvas). ## Schema format Same as materials-cli: declare-render format with `id`, `width`, `height`, `layers` (text, image, container, shape, etc.).
# Workbench A web app to create and edit canvas images by conversing with an AI agent. Upload materials (e.g. images), chat to generate or modify a declarative canvas (RenderData), preview and edit JSON, and download the result. ## Setup 1. Install dependencies from the workbench root: ```bash cd workbench pnpm install cd server && pnpm install && cd .. cd client && pnpm install && cd .. ``` 2. Create `server/.env` with your API configuration: ```bash # Edit server/.env and set: # OPENAI_API_KEY=your-key # OPENAI_BASE_URL=https://api.hunyuan.cloud.tencent.com/v1 # Optional, for custom endpoints # OPENAI_MODEL=hunyuan-lite # Optional, defaults to gpt-4o # PICUI_TOKEN=your-token # Optional, for image uploads. Get from https://picui.cn personal center ``` ## Run From the workbench directory: ```bash pnpm dev ``` - **Server** runs at http://localhost:3001 (API: `/api/chat`). - **Client** renders canvas in the browser (no server-side rendering). - **Client** runs at http://localhost:5173 with Vite proxy so `/api` requests go to the server. ## Usage 1. Use the **left panel** to chat: type messages and optionally attach images (materials). Images are sent as base64 in the message; the server uploads them to [PICUI](https://picui.cn) and passes URLs to the agent. Set `PICUI_TOKEN` in `server/.env` to enable uploads. The agent returns updated canvas JSON (RenderData) when it produces or changes a design. 2. Use the **right panel** tabs: - **Preview**: view the current rendered image and click **Download** to save it. - **JSON**: edit the RenderData and click **Apply** to re-render and update the preview. 3. Continue the conversation to refine the result; the agent can update the canvas based on your feedback.
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