Generate Image

OrganizationPopular

tsingyuai

generate-image

Generate, edit, or batch-create SEO, marketing, social, and document images with Gemini or OpenAI through the repository-owned Growth Lab image client. Use when a page or content loop needs illustrations, diagrams, covers, reference-image edits, multiple candidates, or verified image text and composition. This is the only AI image-generation Executor in Growth Lab.

Overview

Publisher	tsingyuai
Repository	`growth-lab`
Skill name	`generate-image`
Stars	2K
Forks	170
Bundled files	2
License	Apache-2.0
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by tsingyuai on GitHub. Read the source before you install it.

Installation

Install the Generate Image AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/tsingyuai/growth-lab.git /tmp/growth-lab
mkdir -p .claude/skills
cp -r /tmp/growth-lab/executors/generate-image .claude/skills/generate-image

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Generate Image in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Generate Image on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Generate Image is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Generate images

Use executors/generate-image/generate-image.mjs for text-to-image and reference-image editing. It is a repository-owned, zero-dependency Node.js client. Do not call Codex system Skills, private scripts, or files under ~/.codex.

Define the asset

Specify:

placement and purpose;
subject and visible action;
composition and aspect ratio;
visual style and brand palette;
exact text when text is essential;
details that must appear;
artifacts, logos, watermarks, and unrelated text to exclude.

Prefer real product screenshots when the image explains product behavior. Use generated visuals for concepts, scenes, covers, illustrations, diagrams, and supporting examples.

Generate

Use a prompt file for long or multilingual prompts:

bash
node executors/generate-image/generate-image.mjs \
  --out <output.png> --prompt-file <prompt.txt>

Choose OpenAI explicitly when appropriate:

bash
node executors/generate-image/generate-image.mjs \
  --model gpt-image-2 --out <output.png> \
  --prompt-file <prompt.txt>

Add one --ref <image> argument for each reference image used in an edit.

For JSONL batch generation, put one job per line with prompt or prompt_file, out, and optional model, refs, size, or quality:

bash
node executors/generate-image/generate-image.mjs \
  --batch <jobs.jsonl> --out-dir <directory> --concurrency 3

Read GEMINI_API_KEY or OPENAI_API_KEY from the process environment, root .env.local, or root .env, in that precedence order. Use GOOGLE_GEMINI_BASE_URL or OPENAI_BASE_URL only for a compatible HTTPS endpoint. Keep credentials out of prompts, files, logs, and commits. Do not read credentials from another application's private authentication files.

Before the first provider call, run python models/onboard-growth-lab/scripts/check_configuration.py. If image generation is optional-missing, tell the user that collection, copywriting, review, and deterministic rendering can continue without an image API. When generated assets are requested, point to CONFIGURATION.md, name the OpenAI and Gemini field options, and wait for the user to configure or skip. Never ask them to paste a key into the conversation. A paid verification call requires separate approval.

Control text and structure

List every required label verbatim in the prompt. State that all rendered text must match those strings exactly and that the image may contain no other text or watermark.

For a structured diagram, enumerate nodes, arrows, order, grouping, and direction explicitly. For edits, state what must remain unchanged.

Inspect every result

Use the Runtime's image viewer at full size. Check:

relevance to the adjacent page content;
every rendered character;
subject and factual details;
arrow direction, order, and grouping;
visual artifacts and unintended objects;
crop, aspect ratio, and mobile readability;
consistency with the product's visual language.

Regenerate with one targeted correction when the result fails. Use a deterministic code-native graphic when repeated attempts cannot render exact dense text or structure.

Store the selected asset in the product's normal public directory with a stable descriptive filename, suitable compression, explicit dimensions, and descriptive alt text.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

agents/openai.yaml1 KB
generate-image.mjs11 KB

Frequently asked questions

What does the Generate Image AI skill do?

Why use Generate Image on TypingMind?

Because you install it once and use it with any model. Generate Image is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Generate Image in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tsingyuai/growth-lab/tree/main/executors/generate-image. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Generate Image?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Generate Image?

As many as you like. As long as a model supports skills, you can use Generate Image with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Generate Image AI skill free?

Yes. It is published on GitHub by tsingyuai under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Generate images

Define the asset

Generate

Control text and structure

Inspect every result

Bundled files

Frequently asked questions

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