AI Image Generation and Editing
zhayujie/CowAgent
Generates or edits images from text prompts through a Python script that picks an image backend based on which API keys are configured.
Generate character art and image variations using AI image generation (Google Gemini) with reference images for style and character consistency.
Install Image Gen
$ npx skills add peterkrueck/Claude-Code-Development-Kit --skill image-gen -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install peterkrueck/Claude-Code-Development-Kit image-gen --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/peterkrueck/Claude-Code-Development-Kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/image-gen .claude/skills/image-gen && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "image-gen" agent skill from https://github.com/peterkrueck/Claude-Code-Development-Kit/tree/main/skills/image-gen into .claude/skills/image-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-gen", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/peterkrueck/Claude-Code-Development-Kit/tree/main/skills/image-genType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add peterkrueck/Claude-Code-Development-Kit --skill image-gen -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install peterkrueck/Claude-Code-Development-Kit image-gen --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/peterkrueck/Claude-Code-Development-Kit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/image-gen .agents/skills/image-gen && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "image-gen" agent skill from https://github.com/peterkrueck/Claude-Code-Development-Kit/tree/main/skills/image-gen into .agents/skills/image-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-gen", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add peterkrueck/Claude-Code-Development-Kit --skill image-gen -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install peterkrueck/Claude-Code-Development-Kit image-gen --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/peterkrueck/Claude-Code-Development-Kit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/image-gen .cursor/skills/image-gen && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "image-gen" agent skill from https://github.com/peterkrueck/Claude-Code-Development-Kit/tree/main/skills/image-gen into .cursor/skills/image-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-gen", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/peterkrueck/Claude-Code-Development-Kit.git --path skills/image-gen--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add peterkrueck/Claude-Code-Development-Kit --skill image-gen -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install peterkrueck/Claude-Code-Development-Kit image-gen --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/peterkrueck/Claude-Code-Development-Kit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/image-gen .gemini/skills/image-gen && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "image-gen" agent skill from https://github.com/peterkrueck/Claude-Code-Development-Kit/tree/main/skills/image-gen into .gemini/skills/image-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-gen", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install peterkrueck/Claude-Code-Development-Kit image-genInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add peterkrueck/Claude-Code-Development-Kit --skill image-gen -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/peterkrueck/Claude-Code-Development-Kit.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/image-gen .github/skills/image-gen && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "image-gen" agent skill from https://github.com/peterkrueck/Claude-Code-Development-Kit/tree/main/skills/image-gen into .github/skills/image-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-gen", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add peterkrueck/Claude-Code-Development-Kit --skill image-gen -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install peterkrueck/Claude-Code-Development-Kit image-gen --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/peterkrueck/Claude-Code-Development-Kit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/image-gen .opencode/skills/image-gen && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "image-gen" agent skill from https://github.com/peterkrueck/Claude-Code-Development-Kit/tree/main/skills/image-gen into .opencode/skills/image-gen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-gen", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
image-gen- GitHub stars
- 1.4k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 644 words
- Files
- 2 (incl. scripts)
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- MIT
At a glance
Generate character art and image variations using AI image generation (Google Gemini) with reference images for style and character consistency.
- Works in 6 steps: Understand what the user wants → Select reference images → Craft the prompt → …
- The user asks to generate new character poses
- SKILL.md covers Prerequisites, Workflow, Rate Limits and Troubleshooting
- Runs TypeScript scripts from its folder; calls deno; needs GEMINI_API_KEY
What it does
Image Gen is an agent skill from peterkrueck/Claude-Code-Development-Kit. Generate character art and image variations using AI image generation (Google Gemini) with reference images for style and character consistency. Use this skill when the user asks to generate new character poses, mascot variations, art assets, illustrations, or any AI-generated images — especially when maintaining consistency with an existing character or style.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/generate.ts`).
It sits in Media & Creative, covering Image generation. It works with Google Gemini. The repository describes itself as: Claude Code Workflow for beginners & intermediate users. Tutorial and Installer included. The licence is MIT.
When your agent uses it
- The user asks to generate new character poses
- Mascot variations
- Any AI-generated images — especially when maintaining consistency with an existing character
Example prompts
- “/image-gen”
Requirements
- Node.js
- A credential in GEMINI_API_KEY
Workflow steps
6 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit ba85375. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (TypeScript), which the agent can run.
Shell commands in SKILL.md call:
deno
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
aistudio.google.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
GEMINI_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Image Gen loads about 1.4k tokens when it runs. Until then it costs about 93 tokens; SKILL.md has 644 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from peterkrueck/Claude-Code-Development-Kit at commit ba85375, republished under its MIT licence (© peterkrueck). 644 words, ~1,369 tokens.
Download SKILL.mdSave it as
.claude/skills/image-gen/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- image-gen
- description
- Generate character art and image variations using AI image generation (Google Gemini) with reference images for style and character consistency. Use this skill when the user asks to generate new character poses, mascot variations, art assets, illustrations, or any AI-generated images — especially when maintaining consistency with an existing character or style.
- user_invocable
- true
AI Image Generation (Gemini)
Generate image variations using Google's Gemini image generation model with reference images for style and character consistency. The model supports up to 14 reference images per request and can maintain consistency across multiple characters.
Prerequisites
- GEMINI_API_KEY environment variable must be set
- Get a key at https://aistudio.google.com/apikey
- The key needs billing enabled for image generation (~$0.067/image at 1K resolution)
- Deno runtime installed (for the generation script)
Workflow
Step 1 — Understand what the user wants
Clarify the subject, pose, expression, context, and where the asset will be used (app screen, social media, website, etc.). This context helps craft the right prompt and choose the right aspect ratio.
Step 2 — Select reference images
Always use 1-2 reference images for consistency:
Primary reference (always first): The most canonical image of the character/subject. This anchors identity — face shape, color palette, defining features.
Style/pose reference (second, optional): Pick the closest existing approved asset to the target pose. This anchors proportions and art style.
The primary reference anchors identity; the style reference anchors proportions. Both together produce the most consistent results.
Step 3 — Craft the prompt
Write a detailed prompt that describes the exact pose, expression, and style:
- Character/subject description — physical traits that define the character (so the model doesn't drift)
- Pose and expression — what the character is doing
- Style directives — art style, line style, shading approach
- Background — color, scene, or transparent
- Framing — full body, bust, three-quarter view, etc.
Prompt template:
[CHARACTER_DESCRIPTION]. [POSE_AND_EXPRESSION]. [STYLE_DIRECTIVES]. [BACKGROUND]. [VIEW/FRAMING].Tips:
- Be specific about what each hand/arm is doing — vague descriptions lead to random poses
- Always specify the background explicitly
- Include style keywords consistently (e.g., "flat color fills", "3D render", "watercolor")
Step 4 — Generate variations
Run the bundled generation script:
deno run --allow-env --allow-read --allow-write --allow-net \
.claude/skills/image-gen/scripts/generate.ts \
--prompt "your prompt here" \
--ref path/to/primary-reference.png \
--ref path/to/style-reference.png \
--output-dir /tmp/image-gen \
--variants 4 \
--aspect "<choose based on use case>" \
--size "2K"Parameters:
| Flag | Default | Options |
|---|---|---|
--variants | 4 | 1-8 (each is a separate API call) |
--aspect | 1:1 | 1:1, 3:4, 4:3, 9:16, 16:9, 2:3, 3:2 |
--size | 1K | 512, 1K, 2K, 4K |
Always default to 2K for size — higher resolution gives better quality and can always be downscaled.
Choose aspect ratio based on use case:
| Use Case | Aspect Ratio |
|---|---|
| Full-body character poses | 3:4 |
| App icons, avatars, social profiles | 1:1 |
| Mobile screens, in-app cards | 9:16 or 3:4 |
| Banner/header images, OG images | 16:9 or 4:3 |
| Bust/upper-body portraits | 1:1 or 4:3 |
Cost: ~$0.10/image at 2K = ~$0.40 for 4 variants.
Show full SKILL.md (267 more words)Show less
Step 5 — Pick the best variant
Use the Read tool to visually inspect all generated images. Score each on:
Consistency (most important):
- Does it match the reference images — face, proportions, colors, style?
- Is the art style consistent (not drifting to photorealistic, 3D, etc.)?
Quality (tiebreaker):
- Does the image have personality and visual appeal?
- Would this work well as a production asset?
Pick the single best variant and copy it to the project's assets directory with a descriptive name. Briefly explain why you picked it.
If none are good enough, explain what went wrong and offer to regenerate with prompt adjustments.
Step 6 — Post-process
After picking the best variant:
- Copy the chosen file to the appropriate assets directory
- Clean up: delete the rejected variants and the temp output directory
- Use the image-edit skill if the user needs a different crop or size
Rate Limits
If some variants fail with 429 errors: wait 60 seconds, then rerun with only the missing number of variants. Don't retry all — just fill in the gaps.
If all fail with 429: wait 60 seconds and try again. If it keeps failing, the daily quota may be exhausted — try later or enable billing for higher limits.
Troubleshooting
- "GEMINI_API_KEY not set" — Get a key at https://aistudio.google.com/apikey
- "Billing not enabled" or 403 — Enable billing in Google AI Studio for image generation
- 429 rate limit — Wait 60 seconds and retry
- Character looks wrong — Be more specific about physical traits, ensure both reference images are included
- Style drifted — Reinforce style keywords more strongly in the prompt
- Pose is wrong — Be extremely specific about what each arm/hand is doing
© peterkrueck, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (scripts) in skills/image-gen of peterkrueck/Claude-Code-Development-Kit.
- SKILL.md
- scripts/generate.ts
Open the folder on GitHubat commit ba85375
Compare with similar skills
Image Gen next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Image Gen this skillpeterkrueck/Claude-Code-Development-Kit | 1.4k | — | ~1.4k | Automated safety check: Pass | MIT | |
| AI Image Generation and Editingzhayujie/CowAgent | 47k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Gemini Web Reverse-Engineered ClientJimLiu/baoyu-skills | 26k | 6 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Logo Generatorop7418/logo-generator-skill | 2.2k | — | ~1.8k | Automated safety check: Notes | None | |
| NanobananaReScienceLab/opc-skills | 1.8k | 1 repos | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| SEO Image GeneratorAgriciDaniel/claude-seo | 18k | 2 repos | ~2.1k | Automated safety check: Pass | MIT |
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Nanobanana
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Generate and edit images using Google Gemini 3 Pro Image (Nano Banana Pro).
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Related
Works with
Categories
Questions about Image Gen
What does Image Gen do?
Generate character art and image variations using AI image generation (Google Gemini) with reference images for style and character consistency. Image Gen is an agent skill from peterkrueck/Claude-Code-Development-Kit. Generate character art and image variations using AI image generation (Google Gemini) with reference images for style and character consistency.
When should I use Image Gen?
Image Gen fits situations like: the user asks to generate new character poses; mascot variations; any AI-generated images — especially when maintaining consistency with an existing character.
How do I install Image Gen in Claude Code?
Run `npx skills add peterkrueck/Claude-Code-Development-Kit --skill image-gen -a claude-code`. Or copy the skill folder (skills/image-gen in peterkrueck/Claude-Code-Development-Kit) into .claude/skills/image-gen in your project. Claude Code loads it when a task matches its description.
How do I install Image Gen in Codex?
Run `npx skills add peterkrueck/Claude-Code-Development-Kit --skill image-gen -a codex`. Or copy the skill folder (skills/image-gen in peterkrueck/Claude-Code-Development-Kit) into .agents/skills/image-gen in your project. Codex loads it when a task matches its description.
Can I use Image Gen in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add peterkrueck/Claude-Code-Development-Kit --skill image-gen -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/image-gen, .gemini/skills/image-gen, .github/skills/image-gen and .opencode/skills/image-gen in your project.
What does Image Gen need to run?
Going by SKILL.md and its folder, Image Gen needs TypeScript for the scripts in its folder, the command-line tools its instructions call (deno) and credentials named GEMINI_API_KEY. Our summary lists: Node.js; A credential in GEMINI_API_KEY.
Does Image Gen access the network?
SKILL.md names 1 domain. As links in the text: aistudio.google.com. This is read from the text; nothing was executed.
Is Image Gen safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Image Gen use?
Image Gen is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Image Gen use?
About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Image Gen?
Skills that share tags, products or a category with Image Gen: AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), Gemini Web Reverse-Engineered Client (JimLiu/baoyu-skills, 26k stars), Logo Generator (op7418/logo-generator-skill, 2.2k stars) and Nanobanana (ReScienceLab/opc-skills, 1.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Image Gen?
peterkrueck (a GitHub user) maintains it in peterkrueck/Claude-Code-Development-Kit, which has 1,385 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on July 22, 2026.
Source: peterkrueck/Claude-Code-Development-Kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.