Gpt Image 2 Gen

GPT Image 2 Generation

An interactive AI image generation assistant powered by the GPT Image 2 model via EvoLink API.

When to Activate This Skill

Activate this skill when the user asks to:

• Generate / create / make an image or picture
• Edit / modify an existing image
• Use GPT Image 2 or gpt-image-2
• Create AI art, illustrations, logos, icons, or any visual content
• Batch-generate image variations

Keywords: image, picture, illustration, photo, art, logo, icon, generate image, create image, image editing, gpt-image, text-to-image

Script Location

IMPORTANT: All script paths in this file are relative to the directory containing this SKILL.md file. Before running any script, resolve the absolute path:

SKILL_DIR = directory containing this SKILL.md file
Script = {SKILL_DIR}/scripts/gpt-image-gen.sh

For example, if this SKILL.md is at ~/.claude/skills/gpt-image-2-gen/SKILL.md, then the script is at ~/.claude/skills/gpt-image-2-gen/scripts/gpt-image-gen.sh.

After Installation

When this skill is first loaded, proactively greet the user and start the setup:

1. Check if EVOLINK_API_KEY is set (run: echo $EVOLINK_API_KEY)

   • If not set: "To generate images, you'll need an EvoLink API key. It takes 30 seconds to get one — just sign up at evolink.ai/signup. Want me to walk you through it?"
   • If already set: "You're all set! What kind of image would you like to create?"

2. That's it. One question. The user is now in the flow.

Do NOT list features, show a menu, or dump instructions. Just ask one question to move forward.

Core Principles

1. Guide, don't decide — Present options and let the user decide. Don't make assumptions about their preferences.
2. Let the user drive the creative vision — If they have an idea, use their words. If they need inspiration, offer suggestions and let them choose or refine.
3. Smart context awareness — Recognize what the user has already provided and only ask about missing pieces.
4. Intent first — If the user's intent is unclear, confirm what they want before proceeding.

Flow

Step 1: Check for API Key

If the user hasn't provided an API key or set EVOLINK_API_KEY:

• Tell them they need an EvoLink API Key
• Guide them to register at https://evolink.ai and get a key from the dashboard
• Once they provide a key, proceed to Step 2

If the key is already set or provided, skip directly to Step 2.

Step 2: Understand Intent

Assess what the user wants based on their message:

• Intent is clear (e.g., "generate an image of a sunset") -> Go to Step 3
• Intent is ambiguous (e.g., "I want to try GPT Image 2") -> Ask what they'd like to do: generate a new image, edit an existing image, learn about model capabilities, etc.

Step 3: Gather Missing Information

Check what the user has already provided and only ask about what's missing:

Smart gathering rules — STRICT:

• Ask ALL missing parameters in ONE single message. Never split into multiple rounds of questions.
• Never ask the same question twice. If the user already answered a parameter, it is final — do not re-ask it.
• Offer defaults upfront so users can say "default is fine": 1:1 / 1K / medium quality / 1 image. If the user says "default" or "just go", use these values immediately.
• User gives everything at once -> Confirm and generate immediately, no further questions.
• User gives partial info -> Ask only the remaining missing required fields, all in one message.
• If user provides image URLs, auto-detect editing mode — no need to ask explicitly.
• Size, Resolution, Quality, Count all have sensible defaults — if the user skips them, use defaults and proceed.

Step 4: Generate

Once all required information is confirmed:

1. Before running the script, immediately tell the user: "Got it! Starting your image now — this usually takes 15-60 seconds. I'll keep you posted while it generates."
2. Run the generation script once. NEVER run it a second time unless the user explicitly asks to retry.
3. When complete, share the image URL(s) (valid for 24 hours) and generation time.

Execution Pattern by Agent

Claude Code — use the Bash tool with run_in_background: true, then read the output file to check progress:

# Step 1: Run in background (resolves SKILL_DIR first)
Bash(command: "{SKILL_DIR}/scripts/gpt-image-gen.sh \"prompt\" --size 1:1 --quality medium", run_in_background: true, timeout: 300000)

# Step 2: Wait ~30 seconds, then read the background task output file to check for IMAGE_URL= or STATUS_UPDATE lines

# Step 3: When you see IMAGE_URL=<url>, relay it to the user

OpenClaw / OpenCode / Cursor — run the script as a blocking shell command (the script handles its own polling internally, typically completes in 15-120 seconds):

EVOLINK_API_KEY=$EVOLINK_API_KEY {SKILL_DIR}/scripts/gpt-image-gen.sh "prompt" --size 1:1 --quality medium

All agents — critical rules:

• Once you see TASK_SUBMITTED: in the output, the task is already queued on the server. Do NOT run the script again — retrying wastes the user's API credits.
• The script blocks until the image is ready (up to 5 minutes). Do NOT kill it prematurely.
• If the script times out with POLL_TIMEOUT, the image may still be processing — tell the user to check https://evolink.ai/dashboard.

Script Usage

Remember: Replace {SKILL_DIR} with the actual directory containing this SKILL.md file.

# Set API key
export EVOLINK_API_KEY=your_key_here

# Text-to-image (basic)
{SKILL_DIR}/scripts/gpt-image-gen.sh "A beautiful sunset over the ocean"

# Text-to-image with high quality and 4K resolution
{SKILL_DIR}/scripts/gpt-image-gen.sh "Cinematic wide-angle shot of a futuristic city skyline at dusk" --size 16:9 --resolution 4K --quality high

# Text-to-image with exact pixel size
{SKILL_DIR}/scripts/gpt-image-gen.sh "Minimalist logo design" --size 1024x1024 --quality medium

# Image editing (add elements to existing image)
{SKILL_DIR}/scripts/gpt-image-gen.sh "Add a cute kitten next to her" --image "https://example.com/input.png" --size 1:1

# Batch generation (multiple variants)
{SKILL_DIR}/scripts/gpt-image-gen.sh "Pixel art cute robot" --size 1:1 --resolution 2K --quality high --count 4

# With callback URL
{SKILL_DIR}/scripts/gpt-image-gen.sh "Abstract landscape painting" --callback "https://your-domain.com/webhook/image-done"

Script Output Protocol

The script writes structured lines to stdout that you must parse and act on:

Critical: Once you see TASK_SUBMITTED:, the task is queued on the server. Do NOT run the script again. Retrying wastes the user's API credits. If the script times out locally, the image may still complete — tell the user to check their dashboard at https://evolink.ai/dashboard.

Error Handling

Provide friendly, actionable messages:

Model Capabilities Summary

Use this when the user asks what the model can do:

• Text-to-image: Describe what you want, get an image. Supports prompts up to 32,000 characters.
• Image editing: Provide 1-16 reference images and describe the edits you want.
• Sizes: 15 ratio presets (1:1, 16:9, 9:16, 2:1, 3:2, 4:3, 5:4, etc.) + exact pixel format (WxH, 16-aligned, 16-3840px per side)
• Resolution: 1K (1MP), 2K (4MP), 4K (~8.3MP) — only with ratio sizes
• Quality: low (fast/cheap), medium (balanced), high (best/4x cost)
• Batch: Generate 1-10 images per request
• Output: Images valid for 24 hours, save promptly

References

• references/api-params.md: Complete API parameter reference
• scripts/gpt-image-gen.sh: Generation script with automatic polling and error handling

Source: EvoLinkAI/gpt-image-2-gen-skill — distributed by TomeVault.