picture-it for Openclaw

A powerful CLI tool designed for AI agents to generate, edit, and composite images through a chainable, multi-pass workflow.

geongeorge
v1.0.5
Apr 6, 2026
1
1k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install picture-it

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 picture-it 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 picture-it?

picture-it functions as a Photoshop-like environment specifically built for the terminal and automated agents. By integrating this tool into your Openclaw Skills library, you gain the ability to generate high-fidelity visuals using state-of-the-art AI models like Flux and SeedDream. It prioritizes a composable approach where every command takes an image as input and produces an image as output, allowing for complex pipelines that combine AI-driven generation with local, cost-free operations like color grading and typography.

This tool is essential for developers and creators who need consistent, programmatic control over visual assets. Whether you are building dynamic blog headers or automated social media content, picture-it within the ecosystem of Openclaw Skills provides the granularity required for professional-grade image manipulation without leaving the command line.

picture-it Use Cases

  • Generating high-quality blog headers and Open Graph images with precise typography.
  • Creating YouTube thumbnails with advanced techniques like placing text behind subjects.
  • Automating product photography workflows including background removal and brand logo compositing.
  • Designing social media assets for platforms like Instagram, Twitter, and LinkedIn using built-in size presets.
  • Executing multi-pass cinematic edits that chain AI generation with film grain and color grading.

How picture-it Works

  1. The user or agent defines a visual goal and plans a multi-step pipeline to minimize API costs.
  2. Initial assets are created using the generate command, leveraging models like flux-schnell or flux-dev for high-quality base scenes.
  3. The image is refined through AI-powered editing commands such as remove-bg or edit to insert specific objects or modify the composition.
  4. Local post-processing is applied using commands like text, grade, and vignette to add branding and cinematic style without additional API calls.
  5. The final asset is exported to the local filesystem, ready for deployment or further integration within Openclaw Skills workflows.

picture-it Setup

To begin using this tool within your Openclaw Skills environment, install the package via your preferred Node.js package manager:

npm install -g picture-it
# or
pnpm add -g picture-it

Download the necessary fonts for local text rendering:

picture-it download-fonts

Configure your FAL API credentials to enable AI features:

export FAL_KEY=your-key-here
# or use the internal auth command
picture-it auth --fal <fal-api-key>

picture-it Data Schema & Taxonomy

The skill operates on standard image formats (PNG, JPG) and utilizes JSON for complex compositing instructions. It manages its own internal configuration for API keys and fonts.

Data Component Description
Input/Output Images Standard image files passed between commands via file paths.
Overlay JSON Defines text, shapes, and image positions for the compose command.
Configuration Stored in ~/.picture-it/config.json including API keys and permissions.
Metadata The info command extracts dimensions, aspect ratios, and dominant colors.

picture-it Advanced Features

  • Text-behind-subject logic using explicit AI prompting techniques for a professional magazine or thumbnail look.
  • Support for Satori-based compositing, allowing for complex UI-like layouts using Flexbox instead of just coordinate-based positioning.
  • Multi-model selection ranging from low-cost flux-schnell for drafts to high-fidelity banana-pro for production-ready hero images.
  • Built-in platform presets for automated resizing to standard social media and web dimensions.
  • Composable CLI architecture that allows external agents within Openclaw Skills to programmatically build and audit visual pipelines.

SKILL.md


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