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materials-cli

Render JSON schemas to images and generate schemas from prompts using declare-render and AI.

cai-zhuo0 installations selon la source☆ 0 Étoiles du dépôtv1.0.8

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

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skillhub install cai-zhuo/materials-cli

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Voir la source ↗Guides

Instructions

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):

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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/cai-zhuo/materials-cli
Version
1.0.8
Commit
2aa2e52f8c1f3ce0e0fa39bb857d4bec4030c3d3
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

README

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

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.

macOS
brew install pkg-config cairo pango jpeg giflib librsvg pixman
Ubuntu/Debian
sudo apt-get install libcairo2-dev libjpeg-dev libpango1.0-dev libgif-dev librsvg2-dev
Windows
npm install --global --production windows-build-tools

Usage

Render a Schema File
materials render schema.json -o output.png
Generate with AI
export OPENAI_API_KEY=your-api-key
materials generate "A red circle with text Hello World" -o output.png
Validate a Schema
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...

Contenu extrait

SKILL.md
# 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...
README
# 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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