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 images and iteratively edit saved image artifacts. An agent skill from MemTensor/memmy-agent.
Install Image Generation
$ npx skills add MemTensor/memmy-agent --skill image-generation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install MemTensor/memmy-agent 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/MemTensor/memmy-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/App/memmy-agent/src/skills/image-generation .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/MemTensor/memmy-agent/tree/main/App/memmy-agent/src/skills/image-generation 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/MemTensor/memmy-agent/tree/main/App/memmy-agent/src/skills/image-generationType 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 MemTensor/memmy-agent --skill image-generation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install MemTensor/memmy-agent image-generation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MemTensor/memmy-agent.git skills-src && mkdir -p .agents/skills && cp -r skills-src/App/memmy-agent/src/skills/image-generation .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/MemTensor/memmy-agent/tree/main/App/memmy-agent/src/skills/image-generation 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 MemTensor/memmy-agent --skill image-generation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install MemTensor/memmy-agent image-generation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MemTensor/memmy-agent.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/App/memmy-agent/src/skills/image-generation .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/MemTensor/memmy-agent/tree/main/App/memmy-agent/src/skills/image-generation 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/MemTensor/memmy-agent.git --path App/memmy-agent/src/skills/image-generation--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 MemTensor/memmy-agent --skill image-generation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install MemTensor/memmy-agent image-generation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MemTensor/memmy-agent.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/App/memmy-agent/src/skills/image-generation .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/MemTensor/memmy-agent/tree/main/App/memmy-agent/src/skills/image-generation 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 MemTensor/memmy-agent 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 MemTensor/memmy-agent --skill image-generation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/MemTensor/memmy-agent.git skills-src && mkdir -p .github/skills && cp -r skills-src/App/memmy-agent/src/skills/image-generation .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/MemTensor/memmy-agent/tree/main/App/memmy-agent/src/skills/image-generation 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 MemTensor/memmy-agent --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 MemTensor/memmy-agent image-generation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/MemTensor/memmy-agent.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/App/memmy-agent/src/skills/image-generation .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/MemTensor/memmy-agent/tree/main/App/memmy-agent/src/skills/image-generation 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
- 2.1k
- Token cost
- ~727 tokens
- SKILL.md length
- 339 words
- Files
- 1
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- MIT
At a glance
Generate images and iteratively edit saved image artifacts. An agent skill from MemTensor/memmy-agent.
- Tasks that involve Image generation
- SKILL.md covers When To Use, Prompt Rules, Artifact Rules and Examples
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Image Generation is an agent skill from MemTensor/memmy-agent. Generate images and iteratively edit saved image artifacts.
Its SKILL.md is about 730 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering Image generation. It works with OpenAI. The repository describes itself as: 🍙 A personal AI agent & local memory hub for all AI agents, gives every AI one shared, fully controlled memory and persistent context — all AI remember the same you. Now… The licence is MIT.
When your agent uses it
- Tasks that involve Image generation
Example prompts
- “/image-generation”
What it can do on your machine
Read from SKILL.md and the folder at commit ee0ed02. 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
No scripts in the folder and no shell commands in SKILL.md.
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 727 tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 339 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); files beside SKILL.md are not scanned.
SKILL.md
The full file from MemTensor/memmy-agent at commit ee0ed02, republished under its MIT licence (© MemTensor). 339 words, ~727 tokens.
Download SKILL.mdSave it as
.claude/skills/image-generation/SKILL.md (or your agent's skills folder).- name
- image-generation
- description
- Generate images and iteratively edit saved image artifacts.
Image Generation
Use the generate_image tool when the user asks you to create, render, draw, design, generate, or edit an image.
If the generate_image tool is not available in the current tool list, tell the user that image generation is not enabled for this memmy instance.
When To Use
- Text-to-image: call
generate_imagewith a concreteprompt. - Image editing: pass the saved artifact path or user image path in
reference_images. - Iterative edits in the same conversation: prefer the most recent generated image artifact if the user says things like "make it brighter", "change the background", or "try another version".
- Ambiguous edits: ask a short clarifying question if multiple recent images could be the target.
- After generating images, call the
messagetool with the artifact paths in themediaparameter to deliver them to the user.
Prompt Rules
Write prompts with enough detail for image models:
- Subject and scene.
- Composition and camera or layout.
- Style, mood, lighting, and color palette.
- Text that must appear in the image, quoted exactly.
- Constraints such as "keep the same character", "preserve the logo", or "do not change the background".
Artifact Rules
The tool stores generated images as persistent artifacts under memmy's media directory and returns structured metadata:
id: generated image id, such asimg_ab12cd34ef56.path: local file path for internal follow-up edits.mime: image MIME type.prompt,model, andsource_images: provenance for follow-up edits.
In normal user-facing replies, do not expose local filesystem paths. Keep the reply natural, for example "Done, I generated it." You may include the short image id when it helps the user refer to a specific image, but keep raw path internal unless the user explicitly asks for debug details or a local artifact reference. Never paste base64.
For follow-up edits, pass the prior artifact path to reference_images. If the user provides a new uploaded image, use that path as the reference instead.
Do not include internal replay markers such as [Message Time: ...], [image: /local/path], generate_image(...), or message(...) in user-facing replies.
Examples
Generate a new image:
generate_image(
prompt="A minimal app icon for memmy: friendly robot head, rounded square, soft blue and white palette, clean vector style, no text",
aspect_ratio="1:1",
image_size="1K"
)Edit the latest generated artifact:
generate_image(
prompt="Use the reference image. Keep the same robot and composition, but change the palette to warm orange and add a subtle sunrise background.",
reference_images=["~/.memmy/media/generated/2026-05-08/img_ab12cd34ef56.png"],
aspect_ratio="1:1",
image_size="1K"
)© MemTensor, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in App/memmy-agent/src/skills/image-generation of MemTensor/memmy-agent.
Open the folder on GitHubat commit ee0ed02
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 skillMemTensor/memmy-agent | 2.1k | — | ~727 | Automated safety check: Pass | MIT | |
| AI Image Generation and Editingzhayujie/CowAgent | 47k | — | ~1.3k | Automated safety check: Pass | MIT | |
| GPT Image Generation CLIwuyoscar/GPT-Image2-Skill | 5.6k | — | ~2.5k | Automated safety check: Notes | MIT | |
| Openai Image Gentrpc-group/trpc-agent-go | 1.8k | 13 repos | ~843 | Automated safety check: Pass | Apache-2.0 | |
| Imagegentheowenyoung/home | 115 | 4 repos | ~4.8k | 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.
Openai Image Gen
trpc-group/trpc-agent-go
Batch-generate images via OpenAI Images API. An agent skill from trpc-group/trpc-agent-go.
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.
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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Questions about Image Generation
What does Image Generation do?
Generate images and iteratively edit saved image artifacts. An agent skill from MemTensor/memmy-agent. Image Generation is an agent skill from MemTensor/memmy-agent. Generate images and iteratively edit saved image artifacts.
When should I use Image Generation?
Image Generation fits situations like: tasks that involve Image generation.
How do I install Image Generation in Claude Code?
Run `npx skills add MemTensor/memmy-agent --skill image-generation -a claude-code`. Or copy the skill folder (App/memmy-agent/src/skills/image-generation in MemTensor/memmy-agent) 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 MemTensor/memmy-agent --skill image-generation -a codex`. Or copy the skill folder (App/memmy-agent/src/skills/image-generation in MemTensor/memmy-agent) 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 MemTensor/memmy-agent --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.
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 no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Image Generation use?
Image Generation 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 Generation use?
About 727 tokens (SKILL.md is roughly 2.9k 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, 5.6k stars), Openai Image Gen (trpc-group/trpc-agent-go, 1.8k stars) and Imagegen (theowenyoung/home, 115 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Image Generation?
MemTensor (a GitHub organization) maintains it in MemTensor/memmy-agent, which has 2,064 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on September 30, 2026.
Source: MemTensor/memmy-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.