Agent skill · Backend & API

gpt-atelier

OpenAI GPT Image generation and editing (gpt-image-2, 1.5, 1, mini). Text-to-image, mask-based inpainting, multi-reference composition, multi-turn conversational editing via Responses API, streaming with partial images. This skill should be used when generating or editing images via OpenAI's image models, when near-perfect text rendering in images is needed, when mask-based region-aware editing is required, when multi-turn conversational image editing is desired, or when streaming progressive image delivery is needed. Complements nano-banana-pro (Gemini) as a parallel image generation backend.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill gpt-atelier --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 9 KB
Bundled scripts: none
Path: skills/ai-llm/gpt-atelier/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# GPT Atelier OpenAI GPT Image generation and editing. Wraps both the Image API (one-shot) and Responses API (multi-turn conversational) with 6 scripts covering generate, edit, compose, converse, stream, and test workflows. **Prerequisite:** `OPENAI_API_KEY` environment variable. ## Models | Flag | Model | Strengths | |------|-------|-----------| | (default) | `gpt-image-2` | Reasoning-based, ~99% text rendering, up to 8 consistent images, 4K, streaming | | `--fast` | `gpt-image-1.5` | Region-aware editing, 4x faster, cheaper | | `--mini` | `gpt-image-1-mini` | Cheapest ($0.006/image low quality) | ## Quick Start ```bash # Test connectivity python3 scripts/test_connection.py --check-models # Generate an image python3 scripts/generate_image.py "A Minoan bull-leaper under golden light" # Compare models side-by-side (HTML page) python3 scripts/compare_models.py "A bronze seal stamp in Minoan style" --all --open # Edit with mask python3 scripts/edit_image.py "Replace the sky with a dramatic sunset" photo.png --mask sky_mask.png # Compose from references python3 scripts/compose_images.py "Create a gift basket containing these items" item1.png item2.png item3.png # Multi-turn editing ses

What's inside
Steps it walks through
  1. Models
  2. Quick Start
  3. Core Workflows
  4. 1. Text-to-Image Generation
  5. 2. Image Editing
  6. 3. Multi-Reference Composition
  7. 4. Multi-Turn Conversational Editing (Responses API)
  8. 5. Model Comparison (HTML Page)
  9. 6. Streaming with Partial Images
  10. Prompting Quick-Hits
  11. When to Use GPT Atelier vs Nano Banana Pro
  12. Cost Control
  13. Script Reference
  14. Reference Documentation
Ships with 1 file
  • metadata.json
Commands it runs
Test connectivity
python3 scripts/test_connection.py --check-models
Generate an image
python3 scripts/generate_image.py "A Minoan bull-leaper under golden light"
Compare models side-by-side (HTML page)
python3 scripts/compare_models.py "A bronze seal stamp in Minoan style" --all --open
Edit with mask
python3 scripts/edit_image.py "Replace the sky with a dramatic sunset" photo.png --mask sky_mask.png
Compose from references
python3 scripts/compose_images.py "Create a gift basket containing these items" item1.png item2.png item3.png
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About this skill
What does the gpt-atelier skill do?

OpenAI GPT Image generation and editing (gpt-image-2, 1.5, 1, mini). Text-to-image, mask-based inpainting, multi-reference composition, multi-turn conversational editing via Responses API, streaming with partial images. This skill should be used when generating or editing images via OpenAI's image models, when near-perfect text rendering in images is needed, when mask-based region-aware editing is required, when multi-turn conversational image editing is desired, or when streaming progressive image delivery is needed. Complements nano-banana-pro (Gemini) as a parallel image generation backend.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill gpt-atelier --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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