Garden Skills: GPT Image 2

GPT Image 2 generation and editing with ~80 structured templates, adapting to whatever tools your agent has.

ConardLi

Designers / Developers / Content creators

Image promptingLicence: MITGitHub stars13k

Suggested prompts

Written by PicGens as starting points. Click one to copy it, then paste it to your agent once the skill is installed.

About this skill

This GPT Image 2 skill from ConardLi’s Garden Skills collection adapts to its environment. It detects one of three modes: a local mode that calls an OpenAI-compatible image API itself and saves prompts and images to a project folder; a host-native mode that hands the finished prompt to the agent’s own image tool; and an advisor mode that only writes prompts when no image tool is available.

The prompt library is broad — eighteen visual categories and around eighty structured templates covering posters, UI mockups, product shots, infographics, academic figures, technical diagrams, comics, avatars, storyboards and brand boards — with dedicated editing workflows and helper scripts. Other skills in the same collection cover web design, video presentations and article formatting.

What it makes

Generated or edited images, or structured GPT Image 2 prompts.

Before you install: For the local mode, an OpenAI-compatible image API key.

From the project README

Reproduced from ConardLi/garden-skills by ConardLi under the MIT licence; shortened here — read the rest on GitHub.

GPT Image 2 Skill

A focused image-generation / editing skill for GPT Image 2, with a single SKILL definition that adapts to three runtime modes — local generation, host-native delegation, and pure prompt advisor.

中文文档 · Back to collection root

What it does

This skill is a structured prompt-engineering and image-generation pack built around the GPT Image 2 model (and OpenAI-compatible image endpoints). It only does two image tasks — POST /images/generations and POST /images/edits — but it does them in three different runtime environments without changing user-facing behavior.

It bundles:

A mode-aware workflow so the same skill works whether the agent itself owns the image API key, the host has its own image tool, or there is no image tool at all.
A structured template library of 18 categories and 79 prompt templates covering posters, UI mockups, product visuals, infographics, academic figures, technical diagrams, comics, avatars, and editing workflows.
Reproducible prompt + image archival under garden-gpt-image-2/prompt/ and garden-gpt-image-2/image/ with task-slug + timestamp naming.

The three runtime modes

The very first thing this skill does on any task is run a tiny detection script:

node skills/gpt-image-2/scripts/check-mode.js
# or for structured output:
node skills/gpt-image-2/scripts/check-mode.js --json

The output picks one of three modes:

Mode	Trigger	Behavior
A — Garden local	`ENABLE_GARDEN_IMAGEGEN` truthy AND `OPENAI_API_KEY` present	End-to-end: pick template → render prompt → call `generate.js` / `edit.js` → image lands on disk
B — Host-native	Garden disabled, but the host agent already has an image tool (`image_generation`, `dalle`, `nano_banana`, image MCP, etc.)	Render the prompt, then delegate image generation to the host's own tool
C — Advisor	Garden disabled, host has no image tool	Skill degrades into a high-quality prompt writer — saves the rendered prompt to `garden-gpt-image-2/prompt/` and instructs the user to paste it into ChatGPT / Midjourney / DALL·E / Sora / Nano Banana / their own gateway

In all three modes, prompt files are saved (mode A & C must save, mode B is recommended for reuse). Only mode A produces an image file; mode B leaves that to the host, mode C cannot.

Quick start

0. Detect the mode (always step 0)

node skills/gpt-image-2/scripts/check-mode.js

The commands below (1–4) only apply in Mode A.

1. Text-to-image

node skills/gpt-image-2/scripts/generate.js \
  --prompt "A cute baby sea otter" \
  --size 1024x1024 \
  --quality high

2. Generate from a saved prompt file

node skills/gpt-image-2/scripts/generate.js \
  --promptfile garden-gpt-image-2/prompt/poster-20260424-153045.md

3. Edit an existing image

node skills/gpt-image-2/scripts/edit.js \
  --image assets/source.png \
  --prompt "Replace the background with a clean studio scene"

4. Mask-based local edit

node skills/gpt-image-2/scripts/edit.js \
  --image assets/source.png \
  --mask  assets/mask.png \
  --prompt "Replace only the masked area with a glass vase"

For Mode B / C there is no CLI entry point — the skill just renders the final prompt and either hands it to the host's image tool (B) or shows it to the user (C).

Case Gallery

The public case library covers 18 categories, 79 templates, and 160+ generated / edited results. This gallery is a curated map of the most important capability families: each thumbnail opens the live case page, while the image itself is served from the dedicated ConardLi/gpt-image-2-101 case repository.

UI Mockups

`live-commerce-ui` _{Celebrity livestream commerce interface.}	`social-interface-mockup` _{Official product announcement in a social feed.}
`product-card-overlay` _{Skincare landing-page hero with product, model, and badges.}	`chat-interface-scene` _{Claude-style assistant screenshot with structured conversation.}

Product And Branding

`exploded-view-poster` _{Vision Pro 2 optical and compute-module teardown.}	`premium-studio-product` _{Luxury skincare still life for editorial product pages.}
`cosmetic-packaging` _{Premium skincare gift box with material polish.}	`beverage-label-design` _{Guochao sparkling-water bottle label and commercial scene.}

Editing Workflows

`background-replacement` _{Portrait moved into Times Square night ambience.}	`object-removal` _{Remove unwanted people from a graduation group photo.}
`product-retouching` _{Commerce-grade AirPods product cleanup.}	`portrait-local-edit` _{Hair color and style edit while preserving identity.}

Infographics And Visual Docs

`bento-grid-infographic` _{iPhone 16 Pro feature breakdown in a compact grid.}	`comparison-infographic` _{Phone comparison designed for decision support.}
`dense-explainer-slides` _{One-page AI Agent mechanism explainer.}	`visual-report-page` _{Business summary page with KPI cards and chart rhythm.}

Academic And Technical

`method-pipeline-overview` _{RAG-based long-context QA pipeline for papers.}	`neural-network-architecture` _{ViT-B/16 architecture figure with tensor flow.}
`system-architecture` _{Multi-tenant AI SaaS production architecture.}	`sequence-diagram` _{OAuth 2.0 authorization code + PKCE sequence.}

Story, Maps And Characters

`anime-key-visual` _{Fantasy game launch key visual with crop-safe layout.}	`food-map` _{Shanghai city-walk food map with illustrated landmarks.}
`travel-route-map` _{Kyoto three-day route map with illustrated stops.}	`professional-portrait` _{Restrained executive portrait for company and media pages.}

How to install Garden Skills: GPT Image 2

1.Skills CLI (whole collection)
```
npx skills add ConardLi/garden-skills
```

2.Just this skill

npx skills add ConardLi/garden-skills -s gpt-image-2

Licence and attribution

Garden Skills: GPT Image 2 is created and maintained by ConardLi and published at github.com/ConardLi/garden-skills under the MIT licence. The summary, suggested prompts and “About this skill” text are written by PicGens; the README section is reproduced under the project’s licence. The preview is GitHub’s own social card for the repository. PicGens is not affiliated with the author.

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