Nano Banana Pro Prompts Recommend Skill
YouMind-OpenLab/nano-banana-pro-prompts-recommend-skill
Recommend suitable prompts from 10,000+ Nano Banana Pro image generation prompts based on user needs.
Generate images using AI. An agent skill from github/awesome-copilot.
$ npx skills add github/awesome-copilot --skill generate-image -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install github/awesome-copilot generate-image --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/github/awesome-copilot.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/generate-image .claude/skills/generate-image && 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 "generate-image" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/generate-image into .claude/skills/generate-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-image", 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/github/awesome-copilot/tree/main/skills/generate-imageType 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 github/awesome-copilot --skill generate-image -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install github/awesome-copilot generate-image --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/generate-image .agents/skills/generate-image && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "generate-image" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/generate-image into .agents/skills/generate-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-image", 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 github/awesome-copilot --skill generate-image -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install github/awesome-copilot generate-image --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/generate-image .cursor/skills/generate-image && 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 "generate-image" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/generate-image into .cursor/skills/generate-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-image", 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/github/awesome-copilot.git --path skills/generate-image--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 github/awesome-copilot --skill generate-image -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install github/awesome-copilot generate-image --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/generate-image .gemini/skills/generate-image && 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 "generate-image" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/generate-image into .gemini/skills/generate-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-image", 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 github/awesome-copilot generate-imageInstalls 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 github/awesome-copilot --skill generate-image -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/generate-image .github/skills/generate-image && 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 "generate-image" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/generate-image into .github/skills/generate-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-image", 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 github/awesome-copilot --skill generate-image -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install github/awesome-copilot generate-image --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/github/awesome-copilot.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/generate-image .opencode/skills/generate-image && 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 "generate-image" agent skill from https://github.com/github/awesome-copilot/tree/main/skills/generate-image into .opencode/skills/generate-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-image", 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.
generate-imageGenerate images using AI. An agent skill from github/awesome-copilot.
Generate Image is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Generate images using AI. Use when asked to generate, create, or make images, textures, icons, sprites, artwork, visual assets, or mockups. Supports OpenAI (gpt-image-2) and Google Gemini (Nano Banana). Requires an API key for the chosen provider.
Its SKILL.md is about 960 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 Google Gemini and OpenAI. The repository describes itself as: Community-contributed instructions, agents, skills, and configurations to help you make the most of GitHub Copilot. The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 727ff2e. 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.
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
api.openai.comgenerativelanguage.googleapis.comAlso links to:
platform.openai.comaistudio.google.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
SKILL_IMAGE_GEN_OPENAI_KEYSKILL_IMAGE_GEN_GEMINI_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Generate Image loads about 958 tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 371 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); files beside SKILL.md are not scanned.
The full file from github/awesome-copilot at commit 727ff2e, republished under its MIT licence (© github). 371 words, ~958 tokens.
.claude/skills/generate-image/SKILL.md (or your agent's skills folder).You are an image generation assistant. When invoked, follow the workflow below.
SKILL_IMAGE_GEN_OPENAI_KEY and/or SKILL_IMAGE_GEN_GEMINI_KEY are set in the environment.Only run this if no keys are set. Guide the user conversationally.
SKILL_IMAGE_GEN_OPENAI_KEY or SKILL_IMAGE_GEN_GEMINI_KEY in the current session and persist it to the appropriate shell profile.Method: POST
URL: https://api.openai.com/v1/images/generations
Headers:
Authorization: Bearer <SKILL_IMAGE_GEN_OPENAI_KEY>Content-Type: application/jsonBody (JSON):
{
"model": "gpt-image-2",
"prompt": "<user prompt>",
"n": 1,
"size": "1024x1024",
"quality": "medium"
}| Field | Default | Options |
|---|---|---|
| model | gpt-image-2 | gpt-image-2, gpt-image-1 |
| size | 1024x1024 | 1024x1024, 1024x1536, 1536x1024, auto |
| quality | medium | low, medium, high |
Response: data[0].b64_json contains the base64-encoded image. Decode it and save to the output path. If data[0].url is present instead, download the image from that URL.
Method: POST
URL: https://generativelanguage.googleapis.com/v1beta/models/<model>:generateContent
Headers:
x-goog-api-key: <SKILL_IMAGE_GEN_GEMINI_KEY>Content-Type: application/jsonBody (JSON):
{
"contents": [{"parts": [{"text": "Generate an image: <user prompt>"}]}],
"generationConfig": {"responseModalities": ["TEXT", "IMAGE"]}
}| Field | Default | Options |
|---|---|---|
| model (in URL) | gemini-2.0-flash-exp | gemini-2.0-flash-exp, gemini-2.5-flash-image |
Response: Find candidates[0].content.parts[] — look for a part with inlineData.data (base64 image) and inlineData.mimeType. Decode and save.
Error cases: error key (API error), promptFeedback.blockReason (safety block), finishReason: "SAFETY" (filtered).
assets/, images/, or the current directory).© github, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/generate-image of github/awesome-copilot.
Open the folder on GitHubat commit 727ff2e
Generate Image 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 |
|---|---|---|---|---|---|---|
| Generate Image this skillgithub/awesome-copilot | 40k | — | ~958 | Automated safety check: Pass | MIT | |
| Nano Banana Pro Prompts Recommend SkillYouMind-OpenLab/nano-banana-pro-prompts-recommend-skill | 1.9k | 1 repos | ~4.1k | Automated safety check: Pass | None | |
| AI Image Creatorcentminmod/my-claude-code-setup | 2.7k | — | ~8k | Automated safety check: Notes | MIT | |
| Chatgpt Image Adkrusemediallc/arcads-claude-code | 1.6k | — | ~2.7k | Automated safety check: Notes | MIT | |
| Zy Cinematic Realismpopopo-99/zy-cinematic-realism | 557 | — | ~4.6k | Automated safety check: Pass | CC-BY-NC-4.0 | |
| Image GenerationNegai-ai/AgentClaw | 343 | — | ~1.9k | Automated safety check: Notes | Apache-2.0 |
YouMind-OpenLab/nano-banana-pro-prompts-recommend-skill
Recommend suitable prompts from 10,000+ Nano Banana Pro image generation prompts based on user needs.
centminmod/my-claude-code-setup
Generate, edit-from-reference, or analyze images with AI via OpenRouter (Gemini, GPT Image, Seedream, Qwen, MAI, Grok, FLUX.2, Recraft, Muse, Riverflow; Cloudflare AI Gateway BYOK).
krusemediallc/arcads-claude-code
Generate one or more standalone Meta image-ad creatives via ChatGPT Image 2 (gpt-image-2) through the Arcads external API.
popopo-99/zy-cinematic-realism
Develop supplied scripts, short stories, or synopses into scene understanding, director-facing art concepts, and motivated narrative keyframes; compile scene ideas, visual references, or existing…
Negai-ai/AgentClaw
Generate, edit, and iterate raster images from text prompts or reference images with GPT Image, Nano Banana, or Seedream.
Nexus-JPF/note-companion
When the user wants to create, generate, edit, or optimize images for marketing — blog heroes, social graphics, product mockups, profile banners, listing visuals, or brand assets.
github/awesome-copilot
Maps an unfamiliar codebase into seven evidence-backed documents in docs/codebase/, using a scan script and templates, for onboarding or architecture write-ups.
github/awesome-copilot
Designs Azure infrastructure from a natural-language description, or diagrams an existing resource group, then refines the design through conversation and deploys it with Bicep.
github/awesome-copilot
Generates, edits and validates draw.io files with correct mxGraph XML, covering flowcharts, architecture, sequence, ER and UML class diagrams.
github/awesome-copilot
Cleans raw credit data and screens variables before loan modeling, dropping unstable, noisy or redundant features and writing an Excel report of every step.
github/awesome-copilot
Builds a warm, browser-based daily focus board the user updates by talking to their agent, with Eisenhower priorities, a brain-dump box and kind not-today carryover.
github/awesome-copilot
End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI.
Works with
Categories
Generate images using AI. An agent skill from github/awesome-copilot. Generate Image is an agent skill from github/awesome-copilot, published by the product's own GitHub organization. Generate images using AI.
Generate Image fits situations like: asked to generate; tasks that involve Image generation.
Run `npx skills add github/awesome-copilot --skill generate-image -a claude-code`. Or copy the skill folder (skills/generate-image in github/awesome-copilot) into .claude/skills/generate-image in your project. Claude Code loads it when a task matches its description.
Run `npx skills add github/awesome-copilot --skill generate-image -a codex`. Or copy the skill folder (skills/generate-image in github/awesome-copilot) into .agents/skills/generate-image 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 github/awesome-copilot --skill generate-image -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/generate-image, .gemini/skills/generate-image, .github/skills/generate-image and .opencode/skills/generate-image in your project.
Going by SKILL.md and its folder, Generate Image needs credentials named SKILL_IMAGE_GEN_OPENAI_KEY and SKILL_IMAGE_GEN_GEMINI_KEY. Our summary lists: A credential in SKILL_IMAGE_GEN_OPENAI_KEY; A credential in SKILL_IMAGE_GEN_GEMINI_KEY.
SKILL.md names 4 domains. In commands or code: api.openai.com and generativelanguage.googleapis.com; the agent is likely to contact these when it follows the instructions. As links in the text: platform.openai.com and aistudio.google.com. 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. Review the folder before installing.
Generate Image is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 958 tokens (SKILL.md is roughly 3.8k 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 Generate Image: Nano Banana Pro Prompts Recommend Skill (YouMind-OpenLab/nano-banana-pro-prompts-recommend-skill, 1.9k stars), AI Image Creator (centminmod/my-claude-code-setup, 2.7k stars), Chatgpt Image Ad (krusemediallc/arcads-claude-code, 1.6k stars) and Zy Cinematic Realism (popopo-99/zy-cinematic-realism, 557 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
github (a GitHub organization, an official publisher) maintains it in github/awesome-copilot, which has 39,748 GitHub stars. The repository holds 417 skills in this directory. The repository was last updated on October 7, 2026.
Source: github/awesome-copilot on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.