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.
Use as the foundation and router for any image a post needs — turn a social need into a clear image brief, describe it with model-agnostic prompt craft, and route to the right tool.
Install Image Prompt
$ npx skills add social-media-skills/skills --skill image-prompt -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install social-media-skills/skills image-prompt --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/social-media-skills/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/image-prompt .claude/skills/image-prompt && 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-prompt" agent skill from https://github.com/social-media-skills/skills/tree/main/skills/image-prompt into .claude/skills/image-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-prompt", 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/social-media-skills/skills/tree/main/skills/image-promptType 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 social-media-skills/skills --skill image-prompt -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install social-media-skills/skills image-prompt --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/social-media-skills/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/image-prompt .agents/skills/image-prompt && 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-prompt" agent skill from https://github.com/social-media-skills/skills/tree/main/skills/image-prompt into .agents/skills/image-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-prompt", 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 social-media-skills/skills --skill image-prompt -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install social-media-skills/skills image-prompt --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/social-media-skills/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/image-prompt .cursor/skills/image-prompt && 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-prompt" agent skill from https://github.com/social-media-skills/skills/tree/main/skills/image-prompt into .cursor/skills/image-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-prompt", 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/social-media-skills/skills.git --path skills/image-prompt--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 social-media-skills/skills --skill image-prompt -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install social-media-skills/skills image-prompt --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/social-media-skills/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/image-prompt .gemini/skills/image-prompt && 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-prompt" agent skill from https://github.com/social-media-skills/skills/tree/main/skills/image-prompt into .gemini/skills/image-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-prompt", 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 social-media-skills/skills image-promptInstalls 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 social-media-skills/skills --skill image-prompt -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/social-media-skills/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/image-prompt .github/skills/image-prompt && 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-prompt" agent skill from https://github.com/social-media-skills/skills/tree/main/skills/image-prompt into .github/skills/image-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-prompt", 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 social-media-skills/skills --skill image-prompt -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install social-media-skills/skills image-prompt --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/social-media-skills/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/image-prompt .opencode/skills/image-prompt && 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-prompt" agent skill from https://github.com/social-media-skills/skills/tree/main/skills/image-prompt into .opencode/skills/image-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-prompt", 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-prompt- GitHub stars
- 134
- Token cost
- ~1.6k tokens
- SKILL.md length
- 653 words
- Files
- 6 (incl. references)
- Skills in repo
- 106
- Repo updated
- First seen
- Licence
- MIT
At a glance
Use as the foundation and router for any image a post needs — turn a social need into a clear image brief, describe it with model-agnostic prompt craft, and route to the right tool.
- Works in 5 steps: Gate: should this even be AI-generated? → Write the brief → Describe it (model-agnostic) → …
- Says I need a visual/image for this post
- SKILL.md covers Step 0 — Gate: should this…, Step 1 — Write the brief, Step 2 — Describe it… and Step 3 — Route to the tool, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Image Prompt is an agent skill from social-media-skills/skills. Use as the foundation and router for any image a post needs — turn a social need into a clear image brief, describe it with model-agnostic prompt craft, and route to the right tool. Run when the user says "I need a visual/image for this post," "what image should I use," "make a graphic," "help me prompt an image," or is unsure which image tool/model to use. Reads brand-profile for the visual brand. Teaches the image brief, the universal anatomy of a strong prompt in natural language, and a tool router…
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `evals/evals.json`, `references/choosing-the-tool.md` and `references/examples.md`).
It sits in Media & Creative, covering Image generation. It works with Google Gemini, Midjourney and Google Veo. The repository describes itself as: 106 social media skills for AI agents - strategy, writing, video, design, platform growth, publishing, and analytics. Works with Claude, Cursor, OpenClaw, Hermes & 40+ agents. The licence is MIT.
When your agent uses it
- Says I need a visual/image for this post
- What image should I use
- Help me prompt an image
- Is unsure which image tool/model to use
Example prompts
- “I need a visual/image for this post,”
- “what image should I use,”
- “make a graphic,”
- “/image-prompt”
Workflow steps
5 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 6e30eeb. 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 Prompt loads about 1.6k tokens when it runs, and up to ~4.7k if it reads all its reference files. Until then it costs about 252 tokens; SKILL.md has 653 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 social-media-skills/skills at commit 6e30eeb, republished under its MIT licence (© social-media-skills). 653 words, ~1,602 tokens.
Download SKILL.mdSave it as
.claude/skills/image-prompt/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- image-prompt
- description
- Use as the foundation and router for any image a post needs — turn a social need into a clear image brief, describe it with model-agnostic prompt craft, and route to the right tool. Run when the user says "I need a visual/image for this post," "what image should I use," "make a graphic," "help me prompt an image," or is unsure which image tool/model to use. Reads brand-profile for the visual brand. Teaches the image brief, the universal anatomy of a strong prompt in natural language, and a tool router (typographic -> ideogram/nano-banana; photoreal -> nano-banana/flux; surreal -> Midjourney; editing -> nano-banana/flux; vector -> Recraft; video -> veo-3). Includes a "should this even be AI-generated?" gate (a real photo, screenshot, or chart often beats generic AI), accessibility, and honest scope (disclose AI, never real identifiable people or copyrighted IP, verify text/data). Hands off to the tool-specific mini-skills; WoopSocial publishes via Media and doesn't generate images.
- metadata.version
- 1.0.0
- license
- MIT
Image Prompt (brief · craft · router)
The foundation of the visual cluster. When a post needs an image, this skill decides what image
(the brief), describes it with model-agnostic craft, and routes to the right tool — then hands
off. It sits above the tool-specific mini-skills (nano-banana, ideogram, flux,
veo-3), which own their model's specific tricks.
Think of it as the visual equivalent of brand-profile/content-pillars: the shared decision layer
the tool skills assume you've already worked through.
Step 0 — Gate: should this even be AI-generated?
AI generation is one option, not the default. A real photo (your actual product/space/team), a
screenshot, UGC, or a chart often wins on authenticity and clarity — and AI must never
fabricate your real people/place. Reach for generation when you need something that doesn't exist, must
match a brand look, needs legible in-image text, or a consistent series — and no real asset fits. If a
real asset is better, say so. (See references/the-image-brief.md.)
Step 1 — Write the brief
Read brand-profile.md, then answer four things: job/purpose (hero / explainer / quote graphic /
product / lifestyle / thumbnail / background / ad), the one thing it must convey, format/aspect
ratio for the destination, and the brand look. Output a one-line brief. See
references/the-image-brief.md.
Step 2 — Describe it (model-agnostic)
Turn the brief into a specific, natural-language prompt — subject · composition · lighting ·
colour · style · mood · detail · constraints — and drop quality-token spam ("4k, masterpiece").
Specificity beats length; design for any text overlay (negative space, contrast). See
references/prompt-anatomy.md.
Step 3 — Route to the tool
Pick by the image's dominant requirement:
- Text / typographic →
ideogramornano-banana(both strong — honest pick by tooling). - Photoreal portrait/product →
nano-bananaorflux(Midjourney external). Surreal/painterly → Midjourney. - Editing ("change one thing, keep the rest") →
nano-banana(conversational) orflux(Kontext). - Consistent character/product set →
nano-banana(multi-image references) orflux(multi-reference). - Search-grounded infographics →
nano-banana. Brand-exact hex / open weights / license control →flux. - Vector/SVG → Recraft. Video →
veo-3.
When two fit, say both work and pick by the deciding factor — don't fake a winner. See
references/choosing-the-tool.md.
Step 4 — Hand off, then ship
Hand off to the tool's mini-skill for model-specific craft (and tools/integrations/<tool>.md for
the API). After generation: verify in-image text/data, disclose AI per platform/region, then
upload to WoopSocial Media → attach via scheduling-and-queue. WoopSocial publishes; it doesn't
generate.
Show full SKILL.md (289 more words)Show less
Cross-cutting (always)
- Disclose AI per platform/region (Meta "Made with AI", EU AI Act). Watermark behaviour varies by tool (SynthID on Google tools; none enforced on Ideogram) — don't rely on it for disclosure.
- No real people / no IP — no real identifiable individuals, copyrighted characters, or trademarked logos; original directions only.
- Verify in-image text and data before publishing.
- Accessibility — contrast + legibility on mobile; leave room for overlays.
Quality bar — self-check
- Did I gate (real asset vs AI) before generating?
- Did I write a brief (job + the one thing + format + brand) and a specific, natural-language prompt (no token spam)?
- Did I route by the dominant requirement with an honest which-tool read, and hand off?
- Did I design for overlays/accessibility, and cover disclosure, IP, and verification?
- Did I keep WoopSocial honest (publishes via Media; doesn't generate)?
Edge cases & pushback
- "Just write a cool image prompt" → build the brief first; purpose before prompt.
- "4k masterpiece ultra-detailed" → rewrite into a specific scene; drop quality tokens.
- "Generate my real cafe/staff" → use a real photo; don't fabricate real people/place.
- "Base it on [studio]'s characters" / a real person → refuse IP/real people; original direction.
- "Which model — A or B?" → honest, tooling-based answer; both can be right.
- "Generate it in WoopSocial" → WoopSocial doesn't generate; route to a tool, then upload + attach.
Related
nano-banana,ideogram,flux,veo-3— the tool-specific mini-skills this routes/hands off to.tools/integrations/*— the connection/API for each tool;brand-profile— the visual brand.carousel-writer,reels-script,caption-writer/hook-writer— consumers (image-prompt-pack / overlay copy).scheduling-and-queue— upload the asset to Media and attach to a post.
References
references/the-image-brief.md— the "should this be AI?" gate and the four-question brief.references/prompt-anatomy.md— the universal, model-agnostic anatomy of a strong prompt.references/choosing-the-tool.md— the router/decision tree and honest which-tool calls.references/examples.md— end-to-end flows, weak→strong, the don't-generate gate, and honest scope.
© social-media-skills, 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 5 other files (references) in skills/image-prompt of social-media-skills/skills.
- SKILL.md
- evals/evals.json
- references/choosing-the-tool.md
- references/examples.md
- references/prompt-anatomy.md
- references/the-image-brief.md
Open the folder on GitHubat commit 6e30eeb
Compare with similar skills
Image Prompt 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 Prompt this skillsocial-media-skills/skills | 134 | — | ~1.6k | 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 | |
| Zy Cinematic Realismpopopo-99/zy-cinematic-realism | 570 | — | ~4.6k | Automated safety check: Pass | CC-BY-NC-4.0 | |
| ImageNexus-JPF/note-companion | 870 | 3 repos | ~3.9k | Automated safety check: Pass | MIT | |
| AI Media GeneratorHao0321/ai-media-generator | 260 | — | ~5.6k | Automated safety check: Pass | MIT | |
| Fal AI Mediaaffaan-m/ECC | 277k | 4 repos | ~1.9k | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Image Prompt
What does Image Prompt do?
Use as the foundation and router for any image a post needs — turn a social need into a clear image brief, describe it with model-agnostic prompt craft, and route to the right tool. Image Prompt is an agent skill from social-media-skills/skills. Use as the foundation and router for any image a post needs — turn a social need into a clear image brief, describe it with model-agnostic prompt craft, and route to the right tool.
When should I use Image Prompt?
Image Prompt fits situations like: says I need a visual/image for this post; what image should I use; help me prompt an image; is unsure which image tool/model to use.
How do I install Image Prompt in Claude Code?
Run `npx skills add social-media-skills/skills --skill image-prompt -a claude-code`. Or copy the skill folder (skills/image-prompt in social-media-skills/skills) into .claude/skills/image-prompt in your project. Claude Code loads it when a task matches its description.
How do I install Image Prompt in Codex?
Run `npx skills add social-media-skills/skills --skill image-prompt -a codex`. Or copy the skill folder (skills/image-prompt in social-media-skills/skills) into .agents/skills/image-prompt in your project. Codex loads it when a task matches its description.
Can I use Image Prompt 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 social-media-skills/skills --skill image-prompt -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-prompt, .gemini/skills/image-prompt, .github/skills/image-prompt and .opencode/skills/image-prompt in your project.
What does Image Prompt need to run?
SKILL.md names no scripts, command-line tools or credentials: Image Prompt is instructions for the agent only.
Does Image Prompt 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 Prompt 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 Prompt use?
Image Prompt is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Image Prompt use?
About 1.6k tokens (SKILL.md is roughly 6.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.1k tokens, read only when the agent opens those files.
What are the alternatives to Image Prompt?
Skills that share tags, products or a category with Image Prompt: Nano Banana Pro Prompts Recommend Skill (YouMind-OpenLab/nano-banana-pro-prompts-recommend-skill, 1.9k stars), Zy Cinematic Realism (popopo-99/zy-cinematic-realism, 570 stars), Image (Nexus-JPF/note-companion, 870 stars) and AI Media Generator (Hao0321/ai-media-generator, 260 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Image Prompt?
social-media-skills (a GitHub organization) maintains it in social-media-skills/skills, which has 134 GitHub stars. The repository holds 106 skills in this directory. The repository was last updated on October 1, 2026.
Source: social-media-skills/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.