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...
Render JSON schemas to images and generate schemas from prompts using declare-render and AI.
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install cai-zhuo/materials-cliExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
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.
Run via Node (from the project or after npm install -g materials-cli):
materials render <schema-path> [options]
materials generate "<prompt>" [options]
materials validate <schema-path> [options]
materials render schema.json -o output.png
-s, --schema <path>, -o, --output <path> (default ./output.png), -f, --format <png|jpg>, -w, --width, -h, --height, --output-schema <path>, -i, --interactive
materials generate "A red circle with text Hello" -o out.png
-o, --output, -f, --format, -w, --width, -h, --height, --output-schema, --model, --api-key, --base-url, -i, --interactive
OPENAI_API_KEY (and optionally OPENAI_MODEL, OPENAI_BASE_URL) if not passed via flags.materials validate schema.json
-s, --schema <path>, -i, --interactive
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...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
A command-line tool for rendering JSON schemas to images (PNG/JPG) using declare-render. Generate schemas with AI or use your own.
cd materials-cli
npm install
This tool uses node-canvas for rendering. If you encounter installation issues, please refer to the node-canvas installation guide.
brew install pkg-config cairo pango jpeg giflib librsvg pixman
sudo apt-get install libcairo2-dev libjpeg-dev libpango1.0-dev libgif-dev librsvg2-dev
npm install --global --production windows-build-tools
materials render schema.json -o output.png
export OPENAI_API_KEY=your-api-key
materials generate "A red circle with text Hello World" -o output.png
materials validate schema.json
| 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 |
| 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 |
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...# 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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