Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Test
Render JSON schemas to images and generate schemas from prompts using declare-render and AI.
skill openclawclawhub Free
Render JSON schemas to images and generate schemas from prompts using declare-render and AI.
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- cai-zhuo
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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 β Render a JSON schema file to an image. generate β Use AI (OpenAI) to generate a schema from a prompt, then render it. validate β 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" materials validate schema.json
Schema format
The JSON schema follows the declare-render format: root has id, width, height, and layers. Layer types include text, image, container, shape, etc. Use materials validate <file> to check a schema before rendering.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md