Agent skill

Nano Banana Prompts

by secondsky in secondsky/claude-skills

Generate optimized prompts for Gemini 2.5 Flash Image (Nano Banana).

MITAuto-check passedMedia & Creative

Install Nano Banana Prompts

skills CLI
$ npx skills add secondsky/claude-skills --skill nano-banana-prompts -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install secondsky/claude-skills nano-banana-prompts --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/secondsky/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/nano-banana-prompts/skills/nano-banana-prompts .claude/skills/nano-banana-prompts && rm -rf skills-src

Use ~/.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/

Facts

Skill name
nano-banana-prompts
GitHub stars
227
Token cost
~3.5k tokens
SKILL.md length
1,251 words
Files
2 (incl. assets)
Skills in repo
168
Repo updated
First seen
Licence
MIT

At a glance

Generate optimized prompts for Gemini 2.5 Flash Image (Nano Banana).

  • Works in 6 steps: Subject & Action - Who/what and what… → Setting - Where the scene takes place → Lighting - Natural/artificial light… → …
  • Image generation
  • SKILL.md covers Core Principle, Prompt Structure, Prompt Length and Photography Prompts, plus 11 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Nano Banana Prompts is an agent skill from secondsky/claude-skills. Generate optimized prompts for Gemini 2.5 Flash Image (Nano Banana). Use for image generation, crafting photo prompts, art styles, or multi-turn editing workflows with best practices.

Its SKILL.md is about 3.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including assets.

It sits in Media & Creative, covering Image generation. It works with Google Gemini. The repository describes itself as: Production-ready skills for Claude Code CLI - Cloudflare, React, Tailwind v4, and AI integrations. The licence is MIT.

When your agent uses it

  • Image generation
  • Crafting photo prompts
  • Multi-turn editing workflows with best practices

Example prompts

  • “/nano-banana-prompts”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Subject & Action - Who/what and what they're doing
  2. Setting - Where the scene takes place
  3. Lighting - Natural/artificial light sources and quality
  4. Mood - Emotional tone or atmosphere
  5. Technical Details - Camera, lens, style specifics
  6. Format - Aspect ratio or dimensions

What it can do on your machine

Read from SKILL.md and the folder at commit 8837836. 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

Nano Banana Prompts loads about 3.5k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 1,251 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~3.5k

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 secondsky/claude-skills at commit 8837836, republished under its MIT licence (© secondsky). 1,251 words, ~3,464 tokens.

Download SKILL.mdSave it as .claude/skills/nano-banana-prompts/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
nano-banana-prompts
description
Generate optimized prompts for Gemini 2.5 Flash Image (Nano Banana). Use for image generation, crafting photo prompts, art styles, or multi-turn editing workflows with best practices.
license
MIT

Nano Banana Image Prompt Generator

Generate high-quality prompts for Gemini 2.5 Flash Image using proven best practices from October 2025.

Core Principle

Describe scenes naturally, don't list keywords.

❌ woman, business suit, office, professional ✅ A professional businesswoman in navy suit stands confidently in modern glass-walled office overlooking city skyline. Warm afternoon light streams through windows.

Prompt Structure

Basic Template
A [SHOT TYPE] of [SUBJECT] [ACTION] in [ENVIRONMENT]. 
[LIGHTING] creates [MOOD]. [CAMERA/STYLE DETAILS]. [ASPECT RATIO].
Components
  1. Subject & Action - Who/what and what they're doing
  2. Setting - Where the scene takes place
  3. Lighting - Natural/artificial light sources and quality
  4. Mood - Emotional tone or atmosphere
  5. Technical Details - Camera, lens, style specifics
  6. Format - Aspect ratio or dimensions

Prompt Length

  • Short (10-20 words): Quick generation, minimal control
  • Medium (50-100 words): ⭐ RECOMMENDED - balanced control
  • Long (100-200 words): Maximum control for complex scenes

Photography Prompts

Template
Photorealistic [SHOT TYPE] of [SUBJECT], [ACTION], in [ENVIRONMENT]. 
Illuminated by [LIGHTING], creating [MOOD]. Captured with [CAMERA/LENS], 
emphasizing [DETAILS]. [ASPECT RATIO] format.
Camera Control

Lenses:

  • 35mm, 50mm (standard)
  • 85mm portrait (close-ups)
  • 10-24mm wide (landscapes)
  • 60-105mm macro (details)

Lighting:

  • Golden hour (warm, soft)
  • Blue hour (cool, atmospheric)
  • Three-point (studio)
  • Dramatic side (high contrast)
  • Rembrandt (classic portrait)

Settings:

  • Shallow DOF: f/1.4-2.8 (blurred background)
  • Deep focus: f/11-22 (everything sharp)
  • Motion blur for action
Example
Professional corporate headshot of mid-30s woman with shoulder-length brown hair 
in charcoal blazer. She's smiling warmly at camera against soft gray backdrop. 
Shot with 85mm f/2.0, studio three-point lighting creates gentle shadows defining 
facial features. Ultra-high resolution, LinkedIn-ready quality. 1:1 format.

Art & Illustration Prompts

Template
[STYLE] illustration of [SUBJECT] [ACTION/POSE]. [COMPOSITION] with 
[COLOR PALETTE]. [TECHNIQUE/MEDIUM]. Inspired by [REFERENCE], 
emphasizing [QUALITIES].
Common Styles
  • Watercolor painting
  • Digital art
  • Oil painting
  • Pencil sketch
  • Ink drawing
  • Anime/manga
  • Pixel art
  • Minimalist vector
Example
Watercolor illustration of young girl reading book under oak tree. Seated 
cross-legged in sun-dappled clearing with wildflowers. Soft, loose brushstrokes 
with pastel color palette of greens, yellows, pinks. Transparent washes create 
dreamy, ethereal quality. Inspired by children's book illustration, emphasizing 
wonder and tranquility. 4:5 portrait format.

Text Rendering

Best Practices:

  • Keep under 25 characters total
  • Maximum 2-3 phrases
  • Specify font style (bold, script, sans-serif)
  • Put exact text in quotes
  • Describe position explicitly

Example:

Movie poster with bold red text "SUMMER" at top and "Adventure Awaits" 
in white script font at bottom. Ocean sunset background. Cinematic style.

Multi-Turn Editing Workflow

Nano Banana excels at conversational editing. Make one change at a time.

Example sequence:

  1. "Create professional headshot of woman in business attire"
  2. "Change background to modern office"
  3. "Make her wearing glasses"
  4. "Add warmer lighting"

Product Photography

Template
High-resolution product photo of [PRODUCT] on [SURFACE]. [LIGHTING] 
to [PURPOSE]. Camera angle: [TYPE] to showcase [FEATURE]. Ultra-realistic, 
sharp focus on [DETAIL]. [ASPECT RATIO].
Example
High-resolution product photo of stainless steel smartwatch on white marble 
surface. Soft diffused studio lighting from 45-degree angle to minimize 
reflections and show screen clearly. Camera angle: slight overhead to showcase 
circular face and metal band texture. Ultra-realistic, sharp focus on watch 
face display. 1:1 format for e-commerce.

Landscape Photography

Template
[TYPE] landscape of [LOCATION] at [TIME]. [WEATHER/ATMOSPHERE]. 
[FOREGROUND ELEMENTS]. Shot with [LENS] from [VANTAGE POINT]. 
[COMPOSITION]. Professional landscape photography with [GRADING]. [MOOD].
Example
Dramatic landscape of mountain lake at golden hour. Wispy clouds catch 
warm orange light over snow-capped peaks. Weathered dock extends into 
mirror-still water as foreground. Shot with 16mm wide-angle from low 
lakeside vantage. Rule-of-thirds composition places horizon in upper third. 
Professional landscape photography with warm color grading. Serene yet majestic.

Abstract Art

Template
[MOVEMENT] abstract exploring [CONCEPT]. [COMPOSITION] with [COLORS/TEXTURES]. 
[MEDIUM] emphasizing [GOALS]. [CONTEXT].
Example
Bold geometric abstract exploring tension and harmony. Overlapping angular 
shapes with vibrant primary colors against deep black. Digital art emphasizing 
sharp edges and color interaction. Large-scale wall art format, 16:9.

Common Pitfalls

Avoid:

  • Keyword lists without context
  • Vague descriptions
  • Conflicting style instructions
  • Overly complex text rendering
  • Too many simultaneous changes in edits

Instead:

  • Use complete sentences
  • Be specific about details
  • Maintain style consistency
  • Keep text simple
  • Edit iteratively

Style References

When requesting specific artistic styles, reference:

  • Art movements (impressionism, art deco)
  • Artists (in style of Van Gogh's brushwork)
  • Media (watercolor, oil painting, digital art)
  • Eras (1950s photography, modern minimalist)

Aspect Ratios

  • 1:1 - Square (social media, profile pics)
  • 16:9 - Landscape (presentations, headers)
  • 9:16 - Portrait (mobile, stories)
  • 4:5 - Portrait (Instagram posts)
  • 2:3 - Classic portrait
  • 3:2 - Standard photo

Quick Prompt Checklist

✅ Subject clearly described ✅ Action or pose specified ✅ Environment/setting detailed ✅ Lighting source and quality ✅ Mood or atmosphere ✅ Style or technical specs ✅ Aspect ratio chosen ✅ Complete sentences, not keywords

Common Issues & Solutions

Prompt Quality Issues

Issue: Generic or vague output Cause: Prompt too short or lacks specificity Solution: Expand to 50-100 words. Add lighting details, mood, and specific technical specs (lens, style, etc.).

Example:

  • ❌ Too vague: "A woman in an office"
  • ✅ Specific: "Professional businesswoman in navy suit stands confidently in modern glass-walled office overlooking city skyline at golden hour. Warm afternoon light streams through floor-to-ceiling windows creating soft rim lighting. Shot with 50mm f/2.0, shallow depth of field blurs cityscape background. Confident yet approachable mood. 4:5 portrait format."

Issue: Conflicting style instructions Cause: Mixing incompatible styles (e.g., "photorealistic watercolor") Solution: Choose one primary style. For photography, use camera terminology. For art, use medium/technique terminology.

Issue: Text rendering failures Cause: Too much text, complex fonts, or unclear positioning Solution:

  • Limit to under 25 characters total
  • Use simple, clear fonts (bold, script, sans-serif)
  • Specify exact position ("at top", "centered", "bottom right")
  • Put text in quotes: "SUMMER"

Issue: Unwanted elements in image Cause: Ambiguous phrasing or conflicting descriptors Solution: Be explicit about what should NOT appear. Use precise, unambiguous language.

Generation Issues

Issue: Image doesn't match prompt Cause: Prompt too complex or contradictory elements Solution:

  1. Simplify prompt to core concept
  2. Use multi-turn editing workflow
  3. Start basic, refine iteratively

Issue: Inconsistent results across generations Cause: Vague descriptors allowing wide interpretation Solution: Add specific details about colors, materials, lighting angles, camera settings, and composition rules (rule of thirds, golden ratio).

Issue: Poor composition Cause: No compositional guidance in prompt Solution: Explicitly mention composition rules:

  • "Rule of thirds composition"
  • "Centered subject with symmetrical framing"
  • "Leading lines draw eye to focal point"
  • "Foreground, mid-ground, background layers"
Multi-Turn Editing Issues

Issue: Too many changes at once causing confusion Cause: Requesting multiple edits simultaneously Solution: Make one change per turn. Wait for result before next edit.

Example sequence:

  1. ✅ "Change background to sunset"
  2. ✅ "Make the lighting warmer"
  3. ✅ "Add reflections on water" vs.
  4. ❌ "Change background to sunset with warmer lighting and add reflections"

Issue: Losing context from earlier turns Cause: Vague references without reinforcing key details Solution: Briefly reinforce context: "In this mountain landscape, add a hiking trail in the foreground"

Show full SKILL.md (491 more words)Show less

Prompt Validation

Before submitting a prompt, verify:

Content Completeness
  • Subject clearly identified (who/what)
  • Action or state described (what subject is doing)
  • Environment/setting specified (where)
  • Lighting described (source, quality, direction)
  • Mood or atmosphere indicated (emotional tone)
  • Style or medium specified (photography, watercolor, etc.)
  • Aspect ratio chosen (1:1, 16:9, 4:5, etc.)
Technical Specifications

For Photography:

  • Camera/lens mentioned (50mm, 85mm, wide-angle)
  • Camera settings if relevant (f/2.8, shallow DOF)
  • Lighting type (golden hour, studio three-point, dramatic side)
  • Shot type (close-up, wide shot, overhead)

For Art/Illustration:

  • Medium specified (watercolor, digital art, oil painting)
  • Technique mentioned (loose brushstrokes, sharp vector)
  • Color palette described (pastels, vibrant, monochrome)
  • Style reference if applicable (children's book, manga, minimalist)
Quality Checks
  • Uses complete sentences, not keyword lists
  • Specific rather than vague ("charcoal blazer" vs. "suit")
  • No conflicting style instructions
  • Text under 25 characters if included
  • Length appropriate: 50-100 words for balanced control
  • No contradictory elements (photorealistic watercolor)
Text Rendering Validation

If prompt includes text:

  • Total characters under 25
  • Maximum 2-3 text phrases
  • Text in quotes ("SUMMER")
  • Font style specified (bold, script, sans-serif)
  • Position explicitly stated (top, bottom, centered)
  • Text color contrasts with background

Testing Your Prompts

Quick Test

Generate image and evaluate:

  1. Subject accuracy: Is the main subject as described?
  2. Composition: Does layout match prompt intent?
  3. Lighting: Is lighting source and quality correct?
  4. Style: Does aesthetic match requested style?
  5. Technical specs: Are camera/art specs honored?
  6. Mood: Does image convey intended atmosphere?
Refinement Workflow

If image doesn't match expectations:

Step 1: Identify the gap

  • What element is wrong/missing?
  • Is it subject, lighting, style, composition, or mood?

Step 2: Use multi-turn editing

  • Don't regenerate from scratch
  • Make targeted edit: "Make the lighting softer"
  • One change at a time

Step 3: Refine prompt for future use

  • If you need to regenerate, add more specificity to weak areas
  • Save successful prompts as templates
Comparison Test

For critical images, generate 2-3 variations with slightly different prompts:

Version A: Medium detail (50-75 words) Version B: High detail (100-150 words) Version C: Different style/lighting approach

Compare results to find optimal prompt verbosity and approach.

Example: Complete Validation

Prompt:

Photorealistic close-up portrait of elderly fisherman with weathered hands mending
fishing net at dawn. Seated on wooden dock with misty harbor in background. Soft
golden light from rising sun creates warm rim lighting on his profile. Shot with
85mm f/2.0 creating shallow depth of field, net and hands in sharp focus while
background gently blurs. Contemplative and peaceful mood. 4:5 portrait format.

Validation:

  • ✅ Subject: elderly fisherman
  • ✅ Action: mending fishing net
  • ✅ Environment: wooden dock at harbor
  • ✅ Lighting: golden hour, rim lighting
  • ✅ Mood: contemplative, peaceful
  • ✅ Technical: 85mm f/2.0, shallow DOF
  • ✅ Aspect ratio: 4:5 portrait
  • ✅ Complete sentences: yes
  • ✅ Specific details: weathered hands, wooden dock, misty harbor
  • ✅ Length: ~85 words (optimal range)
  • ✅ Style consistency: photorealistic throughout

Expected result: High-quality, detailed image matching all specifications.

Troubleshooting Guide

ProblemLikely CauseFix
Blurry/low qualityMissing technical specsAdd camera, lens, "ultra-high resolution"
Wrong colorsVague color descriptionSpecify exact colors, hex codes if needed
Bad compositionNo compositional guidanceAdd "rule of thirds", "centered", etc.
Missing elementsElement mentioned too latePut critical elements early in prompt
Generic lookKeyword listingRewrite as natural sentences
Text garbledToo much textReduce to <25 chars, simplify font
Wrong styleConflicting instructionsChoose one consistent style
Unexpected objectsAmbiguous phrasingBe more explicit and specific

© secondsky, 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 1 other file (assets) in plugins/nano-banana-prompts/skills/nano-banana-prompts of secondsky/claude-skills.

  • SKILL.md
  • assets/nano-banana.png

Open the folder on GitHubat commit 8837836

Compare with similar skills

Nano Banana Prompts 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.

Nano Banana Prompts compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Nano Banana Prompts this skillsecondsky/claude-skills227—~3.5kAutomated safety check: PassMIT
AI Image Generation and Editingzhayujie/CowAgent47k—~1.3kAutomated safety check: PassMIT
Logo Generatorop7418/logo-generator-skill2.2k—~1.8kAutomated safety check: NotesNone
Gemini Web Reverse-Engineered ClientJimLiu/baoyu-skills27k5 repos~1.6kAutomated safety check: PassMIT
SEO Image GeneratorAgriciDaniel/claude-seo19k2 repos~2.1kAutomated safety check: PassMIT
BlockRun Image GenerationBlockRunAI/ClawRouter6.6k—~2.1kAutomated safety check: PassMIT

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Works with

Questions about Nano Banana Prompts

What does Nano Banana Prompts do?

Generate optimized prompts for Gemini 2.5 Flash Image (Nano Banana). Nano Banana Prompts is an agent skill from secondsky/claude-skills.5 Flash Image (Nano Banana).

When should I use Nano Banana Prompts?

Nano Banana Prompts fits situations like: image generation; crafting photo prompts; multi-turn editing workflows with best practices.

How do I install Nano Banana Prompts in Claude Code?

Run `npx skills add secondsky/claude-skills --skill nano-banana-prompts -a claude-code`. Or copy the skill folder (plugins/nano-banana-prompts/skills/nano-banana-prompts in secondsky/claude-skills) into .claude/skills/nano-banana-prompts in your project. Claude Code loads it when a task matches its description.

How do I install Nano Banana Prompts in Codex?

Run `npx skills add secondsky/claude-skills --skill nano-banana-prompts -a codex`. Or copy the skill folder (plugins/nano-banana-prompts/skills/nano-banana-prompts in secondsky/claude-skills) into .agents/skills/nano-banana-prompts in your project. Codex loads it when a task matches its description.

Can I use Nano Banana Prompts 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 secondsky/claude-skills --skill nano-banana-prompts -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/nano-banana-prompts, .gemini/skills/nano-banana-prompts, .github/skills/nano-banana-prompts and .opencode/skills/nano-banana-prompts in your project.

What does Nano Banana Prompts need to run?

SKILL.md names no scripts, command-line tools or credentials: Nano Banana Prompts is instructions for the agent only.

Does Nano Banana Prompts 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 Nano Banana Prompts 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 Nano Banana Prompts use?

Nano Banana Prompts 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 Nano Banana Prompts use?

About 3.5k tokens (SKILL.md is roughly 14k 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 Nano Banana Prompts?

Skills that share tags, products or a category with Nano Banana Prompts: AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), Logo Generator (op7418/logo-generator-skill, 2.2k stars), Gemini Web Reverse-Engineered Client (JimLiu/baoyu-skills, 27k stars) and SEO Image Generator (AgriciDaniel/claude-seo, 19k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Nano Banana Prompts?

secondsky (a GitHub user) maintains it in secondsky/claude-skills, which has 227 GitHub stars. The repository holds 168 skills in this directory. The repository was last updated on September 28, 2026.

Source: secondsky/claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.