Cursor Image Generation
tmcfarlane/oh-my-cursor
Generate and iterate images in Cursor using the built-in image model and strong prompts.
Generate images using Google Gemini's image generation capabilities.
$ npx skills add sanjay3290/ai-skills --skill imagen -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sanjay3290/ai-skills imagen --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/sanjay3290/ai-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/imagen .claude/skills/imagen && 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 "imagen" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/imagen into .claude/skills/imagen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imagen", 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/sanjay3290/ai-skills/tree/main/skills/imagenType 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 sanjay3290/ai-skills --skill imagen -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sanjay3290/ai-skills imagen --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sanjay3290/ai-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/imagen .agents/skills/imagen && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "imagen" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/imagen into .agents/skills/imagen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imagen", 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 sanjay3290/ai-skills --skill imagen -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sanjay3290/ai-skills imagen --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sanjay3290/ai-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/imagen .cursor/skills/imagen && 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 "imagen" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/imagen into .cursor/skills/imagen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imagen", 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/sanjay3290/ai-skills.git --path skills/imagen--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 sanjay3290/ai-skills --skill imagen -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sanjay3290/ai-skills imagen --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sanjay3290/ai-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/imagen .gemini/skills/imagen && 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 "imagen" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/imagen into .gemini/skills/imagen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imagen", 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 sanjay3290/ai-skills imagenInstalls 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 sanjay3290/ai-skills --skill imagen -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sanjay3290/ai-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/imagen .github/skills/imagen && 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 "imagen" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/imagen into .github/skills/imagen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imagen", 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 sanjay3290/ai-skills --skill imagen -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sanjay3290/ai-skills imagen --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sanjay3290/ai-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/imagen .opencode/skills/imagen && 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 "imagen" agent skill from https://github.com/sanjay3290/ai-skills/tree/main/skills/imagen into .opencode/skills/imagen/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "imagen", 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.
imagenGenerate images using Google Gemini's image generation capabilities.
Imagen is an agent skill from sanjay3290/ai-skills. Generate images using Google Gemini's image generation capabilities. Use this skill when the user needs to create, generate, or produce images for any purpose including UI mockups, icons, illustrations, diagrams, concept art, placeholder images, or visual representations.
Its SKILL.md is about 660 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts (for example `README.md`, `examples.md` and `reference.md`).
It sits in Media & Creative, covering Image generation, Diagrams and Icons and illustration. It works with Google Gemini. The repository describes itself as: 24 cross-platform agent skills for Claude Code, Cursor, Codex & Gemini CLI — databases, messaging, research, TTS, DevOps, and Google Workspace. The licence is Apache-2.0.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 281d88d. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
GEMINI_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Imagen loads about 657 tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 194 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.
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.
The full file from sanjay3290/ai-skills at commit 281d88d, republished under its Apache-2.0 licence (© sanjay3290). 194 words, ~657 tokens.
.claude/skills/imagen/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.This skill generates images using Google Gemini's image generation model (gemini-3-pro-image-preview). It enables seamless image creation during any Claude Code session - whether you're building frontend UIs, creating documentation, or need visual representations of concepts.
Cross-Platform: Works on Windows, macOS, and Linux.
Automatically activate this skill when:
# Basic usage
python scripts/generate_image.py "A futuristic city skyline at sunset"
# With custom output path
python scripts/generate_image.py "A minimalist app icon for a music player" "./assets/icons/music-icon.png"
# With custom size
python scripts/generate_image.py --size 2K "High resolution landscape" "./wallpaper.png"GEMINI_API_KEY environment variable must be setGenerated images are saved as PNG files. The script returns:
User: "I need a hero image for my landing page - something abstract and tech-focused"
-> Generates and saves image, provides path for use in HTML/CSSUser: "Create a diagram showing microservices architecture"
-> Generates visual representation, ready for README or docsUser: "Generate a placeholder avatar image for the user profile component"
-> Creates image in appropriate size for component use© sanjay3290, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 6 other files (scripts) in skills/imagen of sanjay3290/ai-skills.
Open the folder on GitHubat commit 281d88d
We found 15 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 6 other GitHub owners. This page covers the copy in sanjay3290/ai-skills, which our catalogue first saw on October 7, 2026.
Imagen 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 |
|---|---|---|---|---|---|---|
| Imagen this skillsanjay3290/ai-skills | 431 | 6 repos | ~657 | Automated safety check: Pass | Apache-2.0 | |
| Cursor Image Generationtmcfarlane/oh-my-cursor | 110 | — | ~1.8k | Automated safety check: Pass | MIT | |
| Sf Diagram NanobananaproJaganpro/sf-skills | 424 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Imagennexu-io/open-design | 100k | — | ~279 | Automated safety check: Pass | Apache-2.0 | |
| Image PromptingBlockRunAI/blockrun-mcp | 391 | — | ~3.6k | Automated safety check: Pass | MIT | |
| Imagegennexu-io/open-design | 100k | — | ~300 | Automated safety check: Pass | Apache-2.0 |
tmcfarlane/oh-my-cursor
Generate and iterate images in Cursor using the built-in image model and strong prompts.
Jaganpro/sf-skills
AI-powered image generation for Salesforce visuals via Nano Banana Pro.
nexu-io/open-design
Generate images using Google Gemini's image generation API for UI mockups, icons, illustrations, and visual assets.
BlockRunAI/blockrun-mcp
A skill your agent uses when generating or editing images via blockrunimage — especially with GPT Image 2, Nano Banana, or Grok Imagine for posters, UI mockups, marketing assets, product shots, or…
nexu-io/open-design
Generate and edit images using OpenAI's Image API for project assets — UI mockups, icons, illustrations, social cards, and visual references.
kkoppenhaver/cc-nano-banana
REQUIRED for all image generation requests. An agent skill from kkoppenhaver/cc-nano-banana.
sanjay3290/ai-skills
Execute autonomous multi-step research using Google Gemini Deep Research Agent.
sanjay3290/ai-skills
Query and manage Google NotebookLM notebooks with persistent profile auth, source sync, batch/multi queries, and structured exports.
sanjay3290/ai-skills
Send and receive WhatsApp messages via the unofficial linked-device client pywhats (pip install pywhats) — pair with QR, send text/images, group chat, read receipts, presence/typing, and a…
sanjay3290/ai-skills
Execute read-only SQL queries against multiple PostgreSQL databases.
sanjay3290/ai-skills
Manage Jira issues and Confluence wiki pages in Atlassian Cloud.
sanjay3290/ai-skills
Manage Azure DevOps projects, work items, repos, PRs, pipelines, wikis, test plans, security alerts, variable groups, environments/approvals, branch policies, and attachments.
Works with
Categories
Generate images using Google Gemini's image generation capabilities. Imagen is an agent skill from sanjay3290/ai-skills. Generate images using Google Gemini's image generation capabilities.
Imagen fits situations like: the user needs to create; produce images for any purpose including UI mockups; placeholder images; visual representations.
Run `npx skills add sanjay3290/ai-skills --skill imagen -a claude-code`. Or copy the skill folder (skills/imagen in sanjay3290/ai-skills) into .claude/skills/imagen in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sanjay3290/ai-skills --skill imagen -a codex`. Or copy the skill folder (skills/imagen in sanjay3290/ai-skills) into .agents/skills/imagen in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sanjay3290/ai-skills --skill imagen -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/imagen, .gemini/skills/imagen, .github/skills/imagen and .opencode/skills/imagen in your project.
Going by SKILL.md and its folder, Imagen needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named GEMINI_API_KEY. Our summary lists: Python 3; A credential in GEMINI_API_KEY.
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.
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.
Imagen is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 657 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Imagen: Cursor Image Generation (tmcfarlane/oh-my-cursor, 110 stars), Sf Diagram Nanobananapro (Jaganpro/sf-skills, 424 stars), Imagen (nexu-io/open-design, 100k stars) and Image Prompting (BlockRunAI/blockrun-mcp, 391 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sanjay3290 (a GitHub user) maintains it in sanjay3290/ai-skills, which has 431 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on September 10, 2026.
Source: sanjay3290/ai-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.