oc-card

Route ambiguous visual requests to downstream OpenClaw image generation skills.

Updated Feb 6, 2026
One-click install
npx skills add https://github.com/glfruit/gorin-skills --skill oc-card
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: oc-card
Source: https://github.com/glfruit/gorin-skills/tree/main/openclaw/oc-card
Command: npx skills add https://github.com/glfruit/gorin-skills --skill oc-card

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Route ambiguous visual requests to the best OpenClaw backend by selecting a downstream skill.

Core Features & Use Cases

  • Routes natural-language visual requests to the most suitable OpenClaw image generator (e.g., baoyu-infographic, baoyu-xhs-images, baoyu-cover-image, baoyu-comic, baoyu-image-gen).
  • Reads routing rules and downstream SKILL.md to hand off to the correct workflow.
  • Never generates the final image itself; acts as a router to dedicated backends.

Quick Start

Provide a natural-language visual request and the router will select the most suitable downstream OpenClaw skill for generation.

Frequently Asked Questions about oc-card

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I route ambiguous visual requests to the right image generation backend?

Routing visual requests involves evaluating input signals against routing rules to select and delegate to the most suitable downstream OpenClaw image generator.

What visual formats does the OpenClaw image router support for backend selection?

The image router supports long-card, infographic, multi-card, comic, whiteboard, cover, and generic image routes, matching each to a dedicated generation backend.

How does natural language visual request routing work with OpenClaw backends?

Natural language routing works by evaluating input signals and consulting routing rules to select a downstream OpenClaw skill, then invoking that skill's workflow for generation.

Can I use the OpenClaw router to directly generate infographics or comics?

You cannot directly generate infographics or comics with the router, as it never generates final images itself; it acts purely as a router to dedicated downstream backends.

What is the best way to handle multiple image generation routes like cover and whiteboard?

The best way to handle multiple image routes is using a routing system that evaluates requests and delegates to specialized backends like baoyu-cover-image or baoyu-comic.