An AI-driven image processing skill that adds natural bangs to portrait photos without altering existing hair colors.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install bangs-filter-openapi-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install bangs-filter-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 Bangs Filter OpenAPI Skill?
The Bangs Filter skill is a specialized AI tool designed to modify portrait images by adding realistic fringes and bangs. Operating as part of the Openclaw Skills ecosystem, it utilizes the WeShop OpenAPI to process images with high precision, ensuring that the added hair elements blend naturally with the original subject's hairstyle and texture.
This skill is particularly valuable for users who need consistent, high-quality aesthetic modifications without manually editing every frame. By leveraging sophisticated segmentation and generation models, it maintains the integrity of the original hair color while providing a variety of style options through customizable parameters.
Bangs Filter OpenAPI Skill Use Cases
- Virtual try-ons for users wanting to see how they look with bangs before a haircut.
- Automated batch processing for fashion photographers and digital marketing agencies using Openclaw Skills.
- Social media content creation for influencers looking to experiment with different looks.
- Integration into beauty and lifestyle applications to provide AI-enhanced photo editing features.
How Bangs Filter OpenAPI Skill Works
- The user provides a portrait image URL or uploads a local file to the skill agent.
- The skill verifies the existence of the WESHOP_API_KEY and authenticates the request.
- An execution run is triggered via the WeShop API, passing the image and optional style descriptions.
- The process enters a polling cycle, moving through states such as Segmenting and Running.
- Once the status reaches Success, the skill retrieves the generated image URLs from the result data.
Bangs Filter OpenAPI Skill Setup
To use this skill within Openclaw Skills, follow these configuration steps:
- Obtain an API key from the WeShop Authorization page.
- Set your environment variable to include your credentials:
export WESHOP_API_KEY='your_raw_api_key_here'
- Ensure your environment has outbound HTTPS access to openapi.weshop.ai.
- Do not include the Bearer prefix in your API key configuration; the skill handles the raw key value automatically.
Bangs Filter OpenAPI Skill Data Schema & Taxonomy
The skill manages data through structured JSON payloads and sequential polling. Below is the schema for inputs and results:
| Data Type | Key | Description |
|---|---|---|
| Input | images |
Array of portrait image URLs (max 1) |
| Parameter | textDescription |
Optional styling instructions (e.g., natural bangs) |
| Parameter | batchCount |
Number of images to generate (range 1-16) |
| Output | executionId |
Unique ID for tracking processing status |
| Result | image |
The final URL of the transformed portrait |
Bangs Filter OpenAPI Skill Advanced Features
- Custom Style Prompting: Modify the textDescription parameter to specify the exact look of the bangs.
- Batch Generation: Create up to 16 variations in a single run to choose the best result for your project.
- Automated Image Asset Management: Upload local files via the integrated asset endpoint before processing with Openclaw Skills.
- Real-time Lifecycle Tracking: Monitor transitions from Segmenting to Success for complex AI generation tasks.
SKILL.md
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