Pollinations Image Generation Skill for Openclaw

A modular terminal-based tool for generating high-quality AI images through the Pollinations.ai API.

aprilox
v1.0.0
Feb 21, 2026
0
1.8k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install pollinations-image

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 pollinations-image 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 Pollinations Image Generation Skill?

The Pollinations Image Generation Skill provides a seamless interface for creating AI art directly within your development environment. This Openclaw Skills extension offers a clean, modular design that allows users to leverage different AI models like Flux and Zimage for various creative needs. By integrating this skill into your workflow, you gain access to thousands of free monthly image generations and a highly customizable configuration system.

This tool is specifically optimized for developers who need visual assets without leaving the command line. Whether you are building a landing page or needing a quick concept sketch, this Openclaw Skills addition provides the flexibility and power required for modern AI-driven development.

Pollinations Image Generation Skill Use Cases

  • Rapid prototyping of visual concepts for web and app development.
  • Generating unique assets for marketing materials and social media posts.
  • Creating high-quality placeholders during the design phase of a project.
  • Experimenting with different AI models to find the perfect artistic style for Openclaw Skills projects.
  • Automating the generation of image assets through shell scripts and CI/CD pipelines.

How Pollinations Image Generation Skill Works

  1. The user initiates a command via the generate.sh script with a specific text prompt and optional parameters.
  2. The script checks the .user.conf and .env files to determine the preferred model, API credentials, and default dimensions.
  3. The skill formats the request and communicates with the Pollinations.ai API, utilizing pollen grants for cost-efficient generation.
  4. Upon receiving the data, the skill saves the generated image locally and provides metadata feedback to the terminal.
  5. Users can then refine the output by switching models or adjusting seeds for reproducibility within the Openclaw Skills environment.

Pollinations Image Generation Skill Setup

To get started with this Openclaw Skills asset, follow these installation steps:

# Clone the skill directory
cd pollinations-image/

# Configure your environment
cp .env.example .env
# Edit .env and add your key from https://enter.pollinations.ai

# Set your default preferences
cp .user.conf.example .user.conf

# Generate your first image
./generate.sh "a majestic space nebula"

Pollinations Image Generation Skill Data Schema & Taxonomy

The skill maintains a structured local environment to manage preferences and credentials efficiently for Openclaw Skills users.

Component File Path Description
Core Logic generate.sh The main entry point for all generation commands.
Model Registry lib/models.sh Metadata including speed, quality, and cost for available models.
API Credentials .env Private storage for your Pollinations API key.
User Config .user.conf Persistent storage for default models and settings.

Pollinations Image Generation Skill Advanced Features

  • Persistent model selection that stays active across different terminal sessions.
  • Advanced prompt enhancement options using the --enhance flag to improve image quality automatically.
  • Comprehensive model comparison metrics including speed, quality ratings, and cost analysis for Openclaw Skills power users.
  • Custom output naming conventions and seed support for precise, reproducible creative workflows.
  • Modular architecture that allows developers to add new model definitions to the local registry easily.

SKILL.md


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