Generated Photos for Openclaw

A technical integration that enables developers to programmatically access and manage a vast library of realistic, AI-generated human headshots.

gora050
v1.0.2
Apr 3, 2026
0
436
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install generated-photos

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 generated-photos 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 Generated Photos?

The Generated Photos skill is a powerful tool designed for developers and designers who need high-quality, synthetic human imagery. By integrating this capability into your workflow via Openclaw Skills, you can bypass the traditional friction of stock photography and licensing. The skill provides access to diverse, AI-generated headshots that look indistinguishable from real photos, making it ideal for populating user interfaces, creating marketing personas, or generating synthetic datasets.

Built on top of the Membrane ecosystem, this skill simplifies the entire lifecycle of interacting with the Generated Photos API. It abstracts away the complexities of authentication and token management, allowing users to focus on retrieving the exact imagery they need through a clean, intent-driven interface. Whether you are building an AI agent or a custom design tool, this skill ensures you have reliable access to realistic human faces.

Generated Photos Use Cases

  • Automating the generation of realistic user avatars for software prototypes and UI mockups.
  • Sourcing diverse sets of human faces for digital marketing and persona development using Openclaw Skills.
  • Developing synthetic datasets for testing facial recognition or image processing algorithms.
  • Integrating high-fidelity headshots into automated content creation pipelines.

How Generated Photos Works

  1. The user authenticates through the Membrane CLI to establish a secure environment.
  2. A connection to the Generated Photos API is created, which securely manages all API keys and credential refreshes.
  3. The system allows for action discovery where the user can query for specific intents like fetching a random face or listing faces with demographic filters.
  4. Parameters such as age, gender, and ethnicity are passed to the selected action to refine the image search.
  5. The skill executes the request and returns structured JSON data containing image URLs and associated metadata for immediate use in Openclaw Skills workflows.

Generated Photos Setup

To get started with this skill, install the necessary CLI and establish your connection:

npm install -g @membranehq/cli

Login to your account:

membrane login --tenant

Search for and connect the Generated Photos integration:

# Find the connector ID
membrane search generated-photos --elementType=connector --json

# Connect using the ID from the previous step
membrane connect --connectorId=CONNECTOR_ID

Generated Photos Data Schema & Taxonomy

The Generated Photos skill utilizes a structured data model to ensure compatibility with various Openclaw Skills automations. The primary data entities include:

Entity Attributes
Person ID, Age, Gender, Ethnicity, Hair Color
Image Source URL, Resolution, Format, Version
Search Result List of Person objects, pagination tokens, and metadata

All actions return data in a parseable JSON format, allowing for easy mapping to other tools or local file systems.

Generated Photos Advanced Features

  • Proxy Request Support: Send custom requests to any Generated Photos API endpoint with automatic header injection and auth management.
  • Intent-Based Discovery: Use natural language intents to find the most relevant actions for your specific image retrieval needs.
  • Server-Side Auth Lifecycle: Never handle raw API keys locally; the connection manages all secrets securely on the server.
  • Filter-Rich Queries: Power-user access to granular filters including hair length, eye color, and emotional expression when using Openclaw Skills.

SKILL.md


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