Agentic Skills and CLI for GPT Image 2
wuyoscar/gpt_image_2_skillGPT Image 2 prompt gallery, image prompt library, agentic skill, and CLI for OpenAI image generation/editing
AI Analysis
A collection of curated prompts and standardized skill wrappers for integrating GPT Image 2 into agents.
Built for AI engineers and developers building autonomous agents who need reliable image generation capabilities.
From the README
GPT Image 2 Agentic Skill OpenAI GPT Image 2 agentic skill + CLI β curated, copy-paste prompts and runnable examples for skill-capable agents.
β¨ At a glance
Item
Value
Gallery size
162 prompts / 162 image assets Β· README shows a selected showcase
Surfaces
Agentic Skill + CLI β Claude Code / Codex, OpenClaw, Hermes Agent and other skill-capable agent runtimes
Last update
2026-04-24
Docs
English + δΈζ
Contributions are welcome β see CONTRIBUTING.md, CODE_OF_CONDUCT.md, and SECURITY.md.
π₯ Install
Claude Code
/plugin marketplace add wuyoscar/gpt_image_2_skill
/plugin install gpt-image@wuyoscar-skills
Codex
$skill-installer
Manual agent-skill install
Set AGENT_SKILLS_DIR to the skills directory used by your agent runtime, then symlink this repo's skill folder into it.
git clone
cd gpt_image_2_skill
# Choose the skill directory for your runtime.
# Examples:
# Codex: ~/.codex/skills
# Claude Code / OpenClaw / Hermes Agent / other runtimes: use that runtime's documented skills directory.
export AGENT_SKILLS_DIR="/path/to/your/agent/skills"
mkdir -p "$AGENT_SKILLS_DIR"
ln -s "$PWD/skills/gpt-image" "$AGENT_SKILLS_DIR/gpt-image"
CLI
uvx --from git+ gpt-image -p "a cat astronaut"
# or install to PATH
uv tool install git+
gpt-image -p "a cat astronaut"
Update
# plugin: use Claude Code's update flow
# codex skill: rerun the installer
# manual git clone
cd gpt_image_2_skill && git pull
# CLI
uv tool upgrade gpt-image-cli
Reads OPENAI_API_KEY from the environment or ~/.env.
β‘ Quick Usage & Prompting Fundamentals
CLI quick usage
After install, every gallery entry below can be copy-pasted as gpt-image -p "β¦" or requested from any skill-capable agent runtime in natural language, e.g. "generate the Boston Spring poster from the skill gallery".
Text β image
gpt-image -p "a photorealistic convenience store at 10pm" --size 1k --quality high -f store.png
Under the hood: POST /v1/images/generations with model=gpt-image-2.
Text + reference image β image (edit)
# Single-reference edit / restyle
gpt-image -p "Make it a winter evening with heavy snowfall" \
-i chess.png --quality high -f