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.
MUST use when the user wants to RENDER or GENERATE an actual image from a description (not just craft prompt text).
Install Image Generation
$ npx skills add Kiyoraka/Project-AI-MemoryCore --skill image-generation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Kiyoraka/Project-AI-MemoryCore image-generation --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/Kiyoraka/Project-AI-MemoryCore.git skills-src && mkdir -p .claude/skills && cp -r skills-src/Feature/Image-Generation-System .claude/skills/image-generation && 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-generation" agent skill from https://github.com/Kiyoraka/Project-AI-MemoryCore/tree/main/Feature/Image-Generation-System into .claude/skills/image-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-generation", 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/Kiyoraka/Project-AI-MemoryCore/tree/main/Feature/Image-Generation-SystemType 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 Kiyoraka/Project-AI-MemoryCore --skill image-generation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Kiyoraka/Project-AI-MemoryCore image-generation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kiyoraka/Project-AI-MemoryCore.git skills-src && mkdir -p .agents/skills && cp -r skills-src/Feature/Image-Generation-System .agents/skills/image-generation && 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-generation" agent skill from https://github.com/Kiyoraka/Project-AI-MemoryCore/tree/main/Feature/Image-Generation-System into .agents/skills/image-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-generation", 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 Kiyoraka/Project-AI-MemoryCore --skill image-generation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Kiyoraka/Project-AI-MemoryCore image-generation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kiyoraka/Project-AI-MemoryCore.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/Feature/Image-Generation-System .cursor/skills/image-generation && 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-generation" agent skill from https://github.com/Kiyoraka/Project-AI-MemoryCore/tree/main/Feature/Image-Generation-System into .cursor/skills/image-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-generation", 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/Kiyoraka/Project-AI-MemoryCore.git --path Feature/Image-Generation-System--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 Kiyoraka/Project-AI-MemoryCore --skill image-generation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Kiyoraka/Project-AI-MemoryCore image-generation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kiyoraka/Project-AI-MemoryCore.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/Feature/Image-Generation-System .gemini/skills/image-generation && 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-generation" agent skill from https://github.com/Kiyoraka/Project-AI-MemoryCore/tree/main/Feature/Image-Generation-System into .gemini/skills/image-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-generation", 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 Kiyoraka/Project-AI-MemoryCore image-generationInstalls 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 Kiyoraka/Project-AI-MemoryCore --skill image-generation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Kiyoraka/Project-AI-MemoryCore.git skills-src && mkdir -p .github/skills && cp -r skills-src/Feature/Image-Generation-System .github/skills/image-generation && 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-generation" agent skill from https://github.com/Kiyoraka/Project-AI-MemoryCore/tree/main/Feature/Image-Generation-System into .github/skills/image-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-generation", 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 Kiyoraka/Project-AI-MemoryCore --skill image-generation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Kiyoraka/Project-AI-MemoryCore image-generation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Kiyoraka/Project-AI-MemoryCore.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/Feature/Image-Generation-System .opencode/skills/image-generation && 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-generation" agent skill from https://github.com/Kiyoraka/Project-AI-MemoryCore/tree/main/Feature/Image-Generation-System into .opencode/skills/image-generation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-generation", 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-generation- GitHub stars
- 374
- Token cost
- ~992 tokens
- SKILL.md length
- 460 words
- Files
- 7 (incl. scripts)
- Skills in repo
- 17
- Repo updated
- First seen
- Licence
- None found
At a glance
MUST use when the user wants to RENDER or GENERATE an actual image from a description (not just craft prompt text).
- Works in 6 steps: Extract from user input. Read the user's… → (Optional) Consult the Library System.… → Build the final prompt from step 1 (+… → …
- The user wants to RENDER
- SKILL.md covers Overview, Protocol, Size & Quality Reference and Mandatory Rules
- GENERATE an actual image from a description (not just craft prompt text)
What it does
Image Generation is an agent skill from Kiyoraka/Project-AI-MemoryCore. MUST use when the user wants to RENDER or GENERATE an actual image from a description (not just craft prompt text). Triggers on "render an image", "render this", "generate image", "render image", "make an image of", "render the prompt", "render this prompt". Builds the prompt from what the user types (subject-agnostic, no built-in persona), optionally pulls a saved reference from the Library System, confirms cost, then calls the OpenAI gpt-image API and saves a PNG.
Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `README.md`, `credential-setup.md` and `install-image-generation.md`).
It sits in Media & Creative, covering Image generation. It works with OpenAI.
When your agent uses it
- The user wants to RENDER
- GENERATE an actual image from a description (not just craft prompt text)
- Render an image
- Make an image of
Example prompts
- “render an image”
- “render this”
- “generate image”
- “/image-generation”
Requirements
- A Bash shell
- PowerShell
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Extract from user input. Read the user's typed description and pull out the subject, scene,
- (Optional) Consult the Library System. IF the Library System feature is installed AND the user
- Build the final prompt from step 1 (+ optional step 2) — OR, if the user pasted a ready-made
- Resolve the output path.
- MANDATORY cost-confirmation gate. Before firing any paid render, tell the user the estimated
- Invoke the render script and report the result.
What it can do on your machine
Read from SKILL.md and the folder at commit c421b55. 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 2 files in scripts/, which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Image Generation loads about 992 tokens when it runs. Until then it costs about 122 tokens; SKILL.md has 460 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:67
4. **Never commit `.env`**, never print the API key, never include the key in any output.
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
Without a licence we can't republish the file, so here is its outline and opening line. It has 460 words (~992 tokens).
“This skill renders an actual image by calling the OpenAI gpt-image API. It is the rendering companion to the Image Prompt System (which only crafts prompt text). The skill is subject- agnostic: it builds the prompt from whatever the user…”
- name
- image-generation
Files
SKILL.md and 6 other files (scripts) in Feature/Image-Generation-System of Kiyoraka/Project-AI-MemoryCore.
- SKILL.md
- .env.example
- README.md
- credential-setup.md
- install-image-generation.md
- scripts/Invoke-ImageGen.ps1.template
- scripts/invoke-image-gen.sh.template
Open the folder on GitHubat commit c421b55
Compare with similar skills
Image Generation 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 Generation this skillKiyoraka/Project-AI-MemoryCore | 374 | — | ~992 | Automated safety check: Notes | None | |
| AI Image Generation and Editingzhayujie/CowAgent | 47k | — | ~1.3k | Automated safety check: Pass | MIT | |
| GPT Image Generation CLIwuyoscar/GPT-Image2-Skill | 5.7k | — | ~2.5k | Automated safety check: Notes | MIT | |
| Imagegentheowenyoung/home | 115 | 4 repos | ~4.8k | Automated safety check: Pass | Apache-2.0 | |
| Openai Image Gentrpc-group/trpc-agent-go | 1.9k | 12 repos | ~843 | Automated safety check: Pass | Apache-2.0 | |
| Image Generationonyx-dot-app/onyx | 32k | 1 repos | ~1.7k | Automated safety check: Pass | Custom licence |
Similar skills
GPT Image Generation CLI
wuyoscar/GPT-Image2-Skill
Generates and edits images with GPT Image 2 or 2.5 through a packaged CLI and a prompt gallery, after settling which model fits the request.
Imagegen
theowenyoung/home
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts.
Openai Image Gen
trpc-group/trpc-agent-go
Batch-generate images via OpenAI Images API. An agent skill from trpc-group/trpc-agent-go.
Image Generation
onyx-dot-app/onyx
Generate or edit raster images (photos, illustrations, textures, sprites, mockups, logos, infographics) using the workspace's configured image-generation provider via onyx-cli image.
BlockRun Image Generation
BlockRunAI/ClawRouter
Generates or edits images through ClawRouter's local image API, with a choice of models and sizes and payment handled automatically through x402.
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Image Prompt
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Library
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MUST use when saving to the library, loading from the library, searching for existing knowledge, installing pre-made items, or when about to create a new library entry.
Related
Works with
Categories
Questions about Image Generation
What does Image Generation do?
MUST use when the user wants to RENDER or GENERATE an actual image from a description (not just craft prompt text). Image Generation is an agent skill from Kiyoraka/Project-AI-MemoryCore. MUST use when the user wants to RENDER or GENERATE an actual image from a description (not just craft prompt text).
When should I use Image Generation?
Image Generation fits situations like: the user wants to RENDER; GENERATE an actual image from a description (not just craft prompt text); render an image; make an image of.
How do I install Image Generation in Claude Code?
Run `npx skills add Kiyoraka/Project-AI-MemoryCore --skill image-generation -a claude-code`. Or copy the skill folder (Feature/Image-Generation-System in Kiyoraka/Project-AI-MemoryCore) into .claude/skills/image-generation in your project. Claude Code loads it when a task matches its description.
How do I install Image Generation in Codex?
Run `npx skills add Kiyoraka/Project-AI-MemoryCore --skill image-generation -a codex`. Or copy the skill folder (Feature/Image-Generation-System in Kiyoraka/Project-AI-MemoryCore) into .agents/skills/image-generation in your project. Codex loads it when a task matches its description.
Can I use Image Generation 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 Kiyoraka/Project-AI-MemoryCore --skill image-generation -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-generation, .gemini/skills/image-generation, .github/skills/image-generation and .opencode/skills/image-generation in your project.
What does Image Generation need to run?
SKILL.md names no scripts, command-line tools or credentials: Image Generation is instructions for the agent only. Our summary lists: A Bash shell; PowerShell.
Does Image Generation access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Image Generation safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. 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 Generation use?
No licence was found for Image Generation or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Image Generation use?
About 992 tokens (SKILL.md is roughly 4k 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 Generation?
Skills that share tags, products or a category with Image Generation: AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), GPT Image Generation CLI (wuyoscar/GPT-Image2-Skill, 5.7k stars), Imagegen (theowenyoung/home, 115 stars) and Openai Image Gen (trpc-group/trpc-agent-go, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Image Generation?
Kiyoraka (a GitHub user) maintains it in Kiyoraka/Project-AI-MemoryCore, which has 374 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on July 29, 2026.
Source: Kiyoraka/Project-AI-MemoryCore on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.