Step 1
Send prompt in chat
User states intent in natural language.
Render "Any UI You Want" as a dark four-column PNG card.
I will create the JSON spec first, then run one CLI command.
install skill from sorphwer/json-render-cli: npm/skills/use-json-render-clijson-render-cli / Skills Runtime
+------------------+
| ASCII table |
+--------+-------+
+-----------+in your chat,Agent can reply with
ASCII wireframes can misalign fast and feel cramped, especially on mobile, but pre-rendered image perfectly fixed this, availble in your OpenClaw, Codex, Curser, Claude App and Dify (agent with shell capability)
A CLI built for AI agents — bundled with composable skills that let any agent render rich UI on demand, turning plain data into polished visuals in one prompt.
Interactive Demo
How it works
Compared with writing HTML/CSS from scratch, this flow typically uses about 60-75% fewer tokens, and a persistent config keeps visual style consistent for faster, repeatable rendering.
Step 1
User states intent in natural language.
Render "Any UI You Want" as a dark four-column PNG card.
I will create the JSON spec first, then run one CLI command.
Step 2
Structured spec is produced before rendering.
{
"root": {
"type": "Row",
"props": { "width": "100%", "height": "100%", "gap": 0 },
"children": [
{ "type": "Heading", "props": { "text": "Any" } },
{ "type": "Heading", "props": { "text": "UI" } },
{ "type": "Heading", "props": { "text": "You" } },
{ "type": "Heading", "props": { "text": "Want" } }
]
}
}Step 3
JSON goes into a single executable command.
json-render -m "$(cat examples/any-ui-you-want.json)" -c config.json -o landingpage/public/showcase/dark/any-ui-you-want-1x4-tight-half.png --size 3200x520Output: landingpage/public/showcase/dark/any-ui-you-want-1x4-tight-half.png
Acknowledgements
This project is open-source and free to use. If you find it helpful, a star on GitHub means a lot and helps others discover it too.
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All skill templates compile to JSON specs and render through json-render — an open-source, config-driven layout engine for producing pixel-perfect PNGs from structured data.
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