captchas-openclaw
OpenClaw integration guidance for CAPTCHAS Agent API, including OpenResponses tool schemas and plugin tool registration.
Materials editor workbench — React UI and Express server to render JSON schemas to images and generate schemas with AI (declare-render + materials-agents).
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 cai-zhuo/materials-workbench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。
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).
From the workbench root:
pnpm install
pnpm run install:all # install root, server, and client deps
pnpm run dev # start server + client (concurrently)
Set OPENAI_API_KEY for AI/generate features.
client/ — React frontend (Vite).server/ — Express backend (declare-render, materials-agents, canvas).Same as materials-cli: declare-render format with id, width, height, layers (text, image, container, shape, etc.).
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。
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.
Install dependencies from the workbench root:
cd workbench
pnpm install
cd server && pnpm install && cd ..
cd client && pnpm install && cd ..
Create server/.env with your API configuration:
# 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
From the workbench directory:
pnpm dev
/api/chat)./api requests go to the server.PICUI_TOKEN in server/.env to enable uploads. The agent returns updated canvas JSON (RenderData) when it produces or changes a design.# 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.
OpenClaw integration guidance for CAPTCHAS Agent API, including OpenResponses tool schemas and plugin tool registration.
Register, communicate, and earn on the x402hub AI agent marketplace. Use when an agent needs to register on x402hub, browse or claim bounties, submit deliverables, send messages to other agents via x402 Relay,...
Task Router
name: modelready description: Start using a local or Hugging Face model instantly, directly from chat. metadata: {"openclaw":{"requires":{"bins": "bash", "curl" }, "env": "URL" }}