Overview
- Skill Key
- cai-zhuo/materials-cli
- Author
- cai-zhuo
- Source Repo
- openclaw/skills
- Version
- 1.0.8
- Source Path
- skills/cai-zhuo/materials-cli
- Latest Commit SHA
- 2aa2e52f8c1f3ce0e0fa39bb857d4bec4030c3d3
Render JSON schemas to images and generate schemas from prompts using declare-render and AI.
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ACTIVE
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PUBLIC
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-cli 技能。 若已安装,则直接安装 materials-cli 技能。
# Materials CLI Use this skill when the user wants to render JSON schemas to images (PNG/JPG), validate render-data schemas, or generate schemas from natural-language prompts and then render them. ## Commands - **render** — Render a JSON schema file to an image. - **generate** — Use AI (OpenAI) to generate a schema from a prompt, then render it. - **validate** — Validate a JSON schema against the declare-render data schema. ## When to use - User asks to "render a schema to image", "turn JSON into a picture", or "draw from schema". - User wants to "generate an image from a description" or "create a schema from a prompt" and render it. - User wants to "validate" a JSON file against the render data schema. ## Usage Run via Node (from the project or after `npm install -g materials-cli`): ```bash materials render <schema-path> [options] materials generate "<prompt>" [options] materials validate <schema-path> [options] ``` ### Render - `materials render schema.json -o output.png` - Options: `-s, --schema <path>`, `-o, --output <path>` (default `./output.png`), `-f, --format <png|jpg>`, `-w, --width`, `-h, --height`, `--output-schema <path>`, `-i, --interactive` ### Generate (AI) - `materials generate "A red circle with text Hello" -o out.png` - Options: `-o, --output`, `-f, --format`, `-w, --width`, `-h, --height`, `--output-schema`, `--model`, `--api-key`, `--base-url`, `-i, --interactive` - Uses `OPENAI_API_KEY` (and optionally `OPENAI_MODEL`, `OPENAI_BASE_URL`) if not passed via flags. ### Validate - `materials validate schema.json` - Options: `-s, --schema <path>`, `-i, --interactive` ## CLI help ``` Usage: materials <command> [options] Commands: render <schema> Render a JSON schema file to an image generate <prompt> Use AI to generate a schema, then render validate <schema> Validate a schema against the render data schema Examples: materials render schema.json -o output.png materials generate "A red circle with text Hello" materi...
# Materials CLI A command-line tool for rendering JSON schemas to images (PNG/JPG) using declare-render. Generate schemas with AI or use your own. ## Installation ```bash cd materials-cli npm install ``` ### Prerequisites This tool uses `node-canvas` for rendering. If you encounter installation issues, please refer to the [node-canvas installation guide](https://github.com/Automattic/node-canvas#installation). #### macOS ```bash brew install pkg-config cairo pango jpeg giflib librsvg pixman ``` #### Ubuntu/Debian ```bash sudo apt-get install libcairo2-dev libjpeg-dev libpango1.0-dev libgif-dev librsvg2-dev ``` #### Windows ```bash npm install --global --production windows-build-tools ``` ## Usage ### Render a Schema File ```bash materials render schema.json -o output.png ``` ### Generate with AI ```bash export OPENAI_API_KEY=your-api-key materials generate "A red circle with text Hello World" -o output.png ``` ### Validate a Schema ```bash materials validate schema.json ``` ## Commands | Command | Description | |---------|-------------| | `render <schema>` | Render a JSON schema file to an image | | `generate <prompt>` | Use AI to generate a schema, then render | | `validate <schema>` | Validate a schema against the render data schema | ## Options | Option | Description | |--------|-------------| | `-o, --output <path>` | Output file path (default: ./output.png) | | `-f, --format <format>` | Output format: png or jpg (default: png) | | `-w, --width <width>` | Canvas width (default: 800) | | `-h, --height <height>` | Canvas height (default: 600) | | `--output-schema <path>` | Save the generated schema to a file | | `--model <model>` | OpenAI model to use (default: gpt-4o) | | `-i, --interactive` | Interactive mode for input | ## Environment Variables You can set environment variables in a `.env` file or export them. The CLI supports: - `OPENAI_API_KEY` - Your OpenAI API key (required for generate command) - `OPENAI_BASE_URL` - Custom OpenAI A...
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