WeShop FireRed Image Edit Skill for Openclaw

High-fidelity image editing and generation powered by the FireRed open-source model through the WeShop OpenAPI.

sparkleming
v1.0.0
Apr 17, 2026
0
215
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install firered-image-edit-openapi-skill

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install firered-image-edit-openapi-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is WeShop FireRed Image Edit Skill?

The FireRed Image Edit skill enables AI agents to perform sophisticated image manipulation and generation tasks directly through a structured API. By leveraging the FireRed open-source model, users can create or modify visual content with exceptional fidelity based on natural language descriptions. This integration is a core component of the Openclaw Skills ecosystem, designed to provide seamless, high-performance creative capabilities to modern coding agents and automated workflows.

This skill bridges the gap between text-based AI logic and visual production, allowing for automated design iterations. It handles the complexities of image segmentation and model processing, providing a simplified interface for developers to build powerful visual tools within the Openclaw Skills framework.

WeShop FireRed Image Edit Skill Use Cases

  • Modifying existing images using precise text-based instructions and reference URLs.
  • Generating new high-fidelity images from scratch with specific aspect ratios for UI/UX mockups.
  • Automating the creation of marketing assets by batch processing multiple image variations.
  • Integrating automated visual content generation into development pipelines using Openclaw Skills.

How WeShop FireRed Image Edit Skill Works

  1. The AI agent authenticates with the remote service using the WESHOP_API_KEY stored in the environment.
  2. If local files are used, the agent uploads them to the assets endpoint to generate reusable URLs.
  3. A generation run is initiated via the POST /openapi/agent/runs endpoint, passing the text prompt and parameters.
  4. The agent enters a polling loop, checking the execution ID status through various states including Segmenting and Running.
  5. Upon reaching the Success state, the agent retrieves the final image URLs from the result metadata.
  6. These assets are then delivered to the user or integrated back into the Openclaw Skills workflow.

WeShop FireRed Image Edit Skill Setup

To get started with this skill, you must first obtain an API key from the official WeShop developer portal at https://open.weshop.ai/authorization/apikey. Once obtained, configure your environment as follows:

# Set the mandatory environment variable for authentication
export WESHOP_API_KEY='your_raw_api_key_here'

Ensure your agent has outbound HTTPS access to openapi.weshop.ai to facilitate communication with the Openclaw Skills backend.

WeShop FireRed Image Edit Skill Data Schema & Taxonomy

The skill utilizes a structured JSON request body to communicate with the FireRed model. Below is the primary data schema for run parameters:

Field Type Required Description
textDescription string Yes The text prompt describing the desired edit or image.
images array No A list of up to 3 reference image URLs.
aspectRatio string No Output ratio: auto, 1:1, 2:3, 3:2, 4:3, 3:4, 16:9, 9:16.
batchCount integer No Number of images to generate (range: 1-16).

Status tracking is handled via the following execution states: Pending, Segmenting, Running, Success, and Failed.

WeShop FireRed Image Edit Skill Advanced Features

  • Intelligent image segmentation for context-aware editing and object manipulation.
  • Multi-image reference support allowing up to three source assets for complex compositions.
  • High-concurrency batch generation capable of producing 16 variations in a single request.
  • Seamless integration with the Openclaw Skills asset management system for temporary image hosting.
  • Flexible aspect ratio controls including an auto mode that respects source image dimensions.

SKILL.md


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