Fal AI Media
affaan-m/ECC
Unified media generation via fal.ai MCP — image, video, and audio.
Prompt Google's Nano Banana Pro image model — the art-director brief it plans against, the lock/change/amount/constraints shape every edit needs, and the patterns for typography, diagrams, product…
Install Nano Banana Pro Prompting
$ npx skills add nodetool-ai/nodetool --skill nano-banana-pro-prompting -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install nodetool-ai/nodetool nano-banana-pro-prompting --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/nodetool-ai/nodetool.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/system-skills/nano-banana-pro-prompting .claude/skills/nano-banana-pro-prompting && 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 "nano-banana-pro-prompting" agent skill from https://github.com/nodetool-ai/nodetool/tree/main/packages/system-skills/nano-banana-pro-prompting into .claude/skills/nano-banana-pro-prompting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana-pro-prompting", 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/nodetool-ai/nodetool/tree/main/packages/system-skills/nano-banana-pro-promptingType 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 nodetool-ai/nodetool --skill nano-banana-pro-prompting -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install nodetool-ai/nodetool nano-banana-pro-prompting --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nodetool-ai/nodetool.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/system-skills/nano-banana-pro-prompting .agents/skills/nano-banana-pro-prompting && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "nano-banana-pro-prompting" agent skill from https://github.com/nodetool-ai/nodetool/tree/main/packages/system-skills/nano-banana-pro-prompting into .agents/skills/nano-banana-pro-prompting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana-pro-prompting", 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 nodetool-ai/nodetool --skill nano-banana-pro-prompting -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install nodetool-ai/nodetool nano-banana-pro-prompting --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nodetool-ai/nodetool.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/system-skills/nano-banana-pro-prompting .cursor/skills/nano-banana-pro-prompting && 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 "nano-banana-pro-prompting" agent skill from https://github.com/nodetool-ai/nodetool/tree/main/packages/system-skills/nano-banana-pro-prompting into .cursor/skills/nano-banana-pro-prompting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana-pro-prompting", 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/nodetool-ai/nodetool.git --path packages/system-skills/nano-banana-pro-prompting--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 nodetool-ai/nodetool --skill nano-banana-pro-prompting -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install nodetool-ai/nodetool nano-banana-pro-prompting --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nodetool-ai/nodetool.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/system-skills/nano-banana-pro-prompting .gemini/skills/nano-banana-pro-prompting && 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 "nano-banana-pro-prompting" agent skill from https://github.com/nodetool-ai/nodetool/tree/main/packages/system-skills/nano-banana-pro-prompting into .gemini/skills/nano-banana-pro-prompting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana-pro-prompting", 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 nodetool-ai/nodetool nano-banana-pro-promptingInstalls 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 nodetool-ai/nodetool --skill nano-banana-pro-prompting -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/nodetool-ai/nodetool.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/system-skills/nano-banana-pro-prompting .github/skills/nano-banana-pro-prompting && 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 "nano-banana-pro-prompting" agent skill from https://github.com/nodetool-ai/nodetool/tree/main/packages/system-skills/nano-banana-pro-prompting into .github/skills/nano-banana-pro-prompting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana-pro-prompting", 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 nodetool-ai/nodetool --skill nano-banana-pro-prompting -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install nodetool-ai/nodetool nano-banana-pro-prompting --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/nodetool-ai/nodetool.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/system-skills/nano-banana-pro-prompting .opencode/skills/nano-banana-pro-prompting && 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 "nano-banana-pro-prompting" agent skill from https://github.com/nodetool-ai/nodetool/tree/main/packages/system-skills/nano-banana-pro-prompting into .opencode/skills/nano-banana-pro-prompting/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "nano-banana-pro-prompting", 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
nano-banana-pro-prompting- GitHub stars
- 560
- Token cost
- ~1.8k tokens
- SKILL.md length
- 1,047 words
- Files
- 1
- Skills in repo
- 127
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Prompt Google's Nano Banana Pro image model — the art-director brief it plans against, the lock/change/amount/constraints shape every edit needs, and the patterns for typography, diagrams, product…
- The model id contains nano-banana-pro (fal-ai/nano-banana-pro
- SKILL.md covers The generation brief, The edit brief, Rules that keep it from… and Patterns worth reaching for, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Fal-ai/nano-banana-pro/edit
What it does
Nano Banana Pro Prompting is an agent skill from nodetool-ai/nodetool. Prompt Google's Nano Banana Pro image model — the art-director brief it plans against, the lock/change/amount/constraints shape every edit needs, and the patterns for typography, diagrams, product mockups and storyboards. Use whenever the model id contains nano-banana-pro (fal-ai/nano-banana-pro, fal-ai/nano-banana-pro/edit, google/nano-banana-pro/text-to-image, google/nano-banana-pro/edit, google/nano-banana-pro/edit-ultra, google/nano-banana-pro/text-to-image-ultra, kie's nano-banana-pro) on generateimage…
Its SKILL.md is about 1.8k 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 fal. The repository describes itself as: Agent-first Creative Workspace. The licence is AGPL-3.0.
When your agent uses it
- The model id contains nano-banana-pro (fal-ai/nano-banana-pro
- Fal-ai/nano-banana-pro/edit
- Google/nano-banana-pro/text-to-image
- Google/nano-banana-pro/edit
Example prompts
- “/nano-banana-pro-prompting”
What it can do on your machine
Read from SKILL.md and the folder at commit 339f069. 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
Links to these hosts (documentation or services it may open):
fal.ai
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 Pro Prompting loads about 1.8k tokens when it runs. Until then it costs about 155 tokens; SKILL.md has 1,047 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 nodetool-ai/nodetool at commit 339f069, republished under its AGPL-3.0 licence (© nodetool-ai). 1,047 words, ~1,820 tokens.
Download SKILL.mdSave it as
.claude/skills/nano-banana-pro-prompting/SKILL.md (or your agent's skills folder).- name
- nano-banana-pro-prompting
- description
- Prompt Google's Nano Banana Pro image model — the art-director brief it plans against, the lock/change/amount/constraints shape every edit needs, and the patterns for typography, diagrams, product mockups and storyboards. Use whenever the model id contains nano-banana-pro (fal-ai/nano-banana-pro, fal-ai/nano-banana-pro/edit, google/nano-banana-pro/text-to-image, google/nano-banana-pro/edit, google/nano-banana-pro/edit-ultra, google/nano-banana-pro/text-to-image-ultra, kie's nano-banana-pro) on generate_image, edit_image or a TextToImage node. Not for Nano Banana 2 or plain Nano Banana.
Nano Banana Pro → write the brief, not the adjectives
Nano Banana Pro plans a composition before it paints one: it settles the layout and the lighting, and only then commits to pixels. Two things follow. It can reason a picture out — a solved equation on a whiteboard, a process diagram in the right order — and it gets sharper the more it knows about the job, so one sentence of context beats one more adjective.
Reach it with find_model for text_to_image or image_to_image, then
generate_image / edit_image. Nothing below is a parameter; it is all prompt
text.
The generation brief
Eight slots. Fill the ones the shot needs, in this order:
| Slot | What goes in it |
|---|---|
| Subject | Who or what, in concrete terms |
| Action | What the subject is doing |
| Setting | Place, time of day, the light in the room |
| Style | The finished look, photoreal through flat illustration |
| Composition and camera | Framing, angle, lens behaviour — brief it like a photographer |
| Lighting and colour | How it is lit, and the grade |
| Text | Any words on the image, in quotes |
| Constraints | What stays out of frame ("no hands, no logos, no hotspots") |
A filled brief:
A matte-black stainless steel insulated water bottle, 750ml, slim cylindrical body, brushed metal cap. It stands upright on a wet slate countertop, a few condensation droplets sliding down its side, mid-morning, in a quiet kitchen by a north-facing window, soft overcast daylight from the left. Photoreal high-end commercial product photography. Tight three-quarter hero shot, slightly below eye level so the bottle reads tall, 85mm at f/8 so the whole product stays sharp while the background falls into soft blur. One large softbox left, a subtle reflector right to control falloff; cool desaturated grade, clean neutral whites, a faint blue cast in the shadows. The words "STAY COLD. 24 HOURS." in small caps along the lower third. No other props, no hands, no visible brand logos, no harsh specular hotspots on the metal.
Add a line about who the image is for when you have one. "This is for a high-end cookbook" sends the planning step toward shallow focus and careful plating on its own.
The edit brief
Edits drift the moment you stop describing what stays. Four slots, and the first one is the whole trick:
- Lock — everything that must not move. Face and layout first, then the details you would notice missing: a finish, a text line, the droplets, the angle.
- Change — the single thing you are altering.
- Amount — how far to take it.
- Constraints — what the edit must not break.
Lock: the water bottle — matte-black finish, brushed cap, slim cylindrical body, the "STAY COLD. 24 HOURS." text, the condensation droplets, its size and position in frame, the three-quarter hero angle. Change: swap the kitchen-counter background for a flat grey boulder beside a sunlit mountain trail. Amount: full environment swap, understated — soft natural daylight, not golden hour; shot on location, not composited. Constraints: don't relight or recolour the bottle beyond the new ambient light; no new reflections or hotspots on the metal; keep the original cool grade; don't touch the cap, droplets or text; no hands, people or gear in frame.
One change per call. Ten edits in one sentence is how you lose track of which one broke the image. Re-state the lock list on every pass.
Show full SKILL.md (498 more words)Show less
Rules that keep it from reading as AI
- Adjectives do not render. "Stunning" draws nothing; overcast light and chipped paint draw something.
- Pin style words to something concrete. "Cinematic" drifts; "a teal-and-amber grade with hard shadows" does not.
- Name the real thing. If the shot needs a boarding pass, the words "boarding pass" beat any amount of mood language.
- Wrap on-image text in quotes and call out the typeface and its position. When
the model keeps dropping a letter, spell the word out. That is for a poster or
a mockup that ships as an image; a still headed for a timeline, or a
storyboard keyframe, keeps its copy off the picture and gets it as a text clip
afterwards (
caption-titles), where it stays editable.
The contrast is the whole lesson. "A gorgeous hyper-detailed photo of a potter, masterpiece, cinematic, 8k" gives the model nothing to decide against. "A ceramicist in her 40s centering wet clay on a spinning wheel in a cluttered studio, late-afternoon light raking across the workbench, grey slip drying on her forearms, a row of unglazed bowls on the shelf behind her, eye-level at 50mm with shallow focus, muted earth tones" is a list of decisions the model no longer has to invent.
Patterns worth reaching for
- Typography and posters — name the print process, the ink colours, the exact words in quotes, the type class and its position: "risograph gig poster, two-colour overprinted teal and burnt orange, visible halftone, 'BLUE ROOM SESSIONS' large in a condensed slab serif across the top, 'Thursdays, 9pm' in small monospace at the bottom, slightly misregistered".
- Infographics and diagrams — this is where the planning step pays. Ask for a labelled cross-section or a bar comparison, name the palette and the type class, and end with "keep every label legible".
- Directing the shot — one hard light source, named falloff, a named lens: "lit by one hard source from a window at camera left, deep falloff into shadow, a thin rim along the fruit's edge, macro so the waxy skin reads".
- Wireframe to screen (edit) — "use the attached pencil wireframe as the exact layout"; then the palette, the type class and the copy.
- Storyboards — ask for N panels in one image, name the medium ("loose black-and-white marker sketches") and vary the framing across the panels.
- Object swap (edit) — swap the object, then list the scene, the light, the depth of field, the palette and the existing shadows as unchanged, and ask for matched scale, texture and contact shadows.
What the model brings
Resemblance holds for up to 5 people across generations and edits, so recurring characters in a campaign or a storyboard are workable. Up to 14 reference images combine in one generation for style or a multi-image scene. Text-to-image and edit are the same model. Outputs carry SynthID watermarking.
Grade the result rather than eyeballing it: critique_image for a written
read, score_image_adherence when you need the prompt checked against the
render.
Adapted from fal's Nano Banana Pro prompting guide: https://fal.ai/learn/tools/nano-banana-pro-prompting-guide
© nodetool-ai, AGPL-3.0. 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 packages/system-skills/nano-banana-pro-prompting of nodetool-ai/nodetool.
Open the folder on GitHubat commit 339f069
Compare with similar skills
Nano Banana Pro Prompting 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 |
|---|---|---|---|---|---|---|
| Nano Banana Pro Prompting this skillnodetool-ai/nodetool | 560 | — | ~1.8k | Automated safety check: Pass | AGPL-3.0 | |
| Fal AI Mediaaffaan-m/ECC | 277k | 4 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Fal AI Imagechongdashu/vibejam-starter-pack | 149 | — | ~1.9k | Automated safety check: Pass | None | |
| Fal AI Mediaaffaan-m/ECC | 277k | 2 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Fal AI Mediaaffaan-m/ECC | 276k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Fal AI Imageartwist-polyakov/polyakov-claude-skills | 208 | — | ~2.1k | Automated safety check: Notes | MIT |
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Fal AI Media
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通过 fal.ai MCP 实现统一的媒体生成——图像、视频和音频。涵盖文本到图像（Nano Banana）、文本/图像到视频（Seedance、Kling、Veo 3）、文本到语音（CSM-1B），以及视频到音频（ThinkSound）。当用户想要使用 AI 生成图像、视频或音频时使用。
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Works with
Categories
Questions about Nano Banana Pro Prompting
What does Nano Banana Pro Prompting do?
Prompt Google's Nano Banana Pro image model — the art-director brief it plans against, the lock/change/amount/constraints shape every edit needs, and the patterns for typography, diagrams, product…. Nano Banana Pro Prompting is an agent skill from nodetool-ai/nodetool. Prompt Google's Nano Banana Pro image model — the art-director brief it plans against, the lock/change/amount/constraints shape every edit needs, and the patterns for typography, diagrams, product mockups and storyboards.
When should I use Nano Banana Pro Prompting?
Nano Banana Pro Prompting fits situations like: the model id contains nano-banana-pro (fal-ai/nano-banana-pro; fal-ai/nano-banana-pro/edit; google/nano-banana-pro/text-to-image; google/nano-banana-pro/edit.
How do I install Nano Banana Pro Prompting in Claude Code?
Run `npx skills add nodetool-ai/nodetool --skill nano-banana-pro-prompting -a claude-code`. Or copy the skill folder (packages/system-skills/nano-banana-pro-prompting in nodetool-ai/nodetool) into .claude/skills/nano-banana-pro-prompting in your project. Claude Code loads it when a task matches its description.
How do I install Nano Banana Pro Prompting in Codex?
Run `npx skills add nodetool-ai/nodetool --skill nano-banana-pro-prompting -a codex`. Or copy the skill folder (packages/system-skills/nano-banana-pro-prompting in nodetool-ai/nodetool) into .agents/skills/nano-banana-pro-prompting in your project. Codex loads it when a task matches its description.
Can I use Nano Banana Pro Prompting 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 nodetool-ai/nodetool --skill nano-banana-pro-prompting -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-pro-prompting, .gemini/skills/nano-banana-pro-prompting, .github/skills/nano-banana-pro-prompting and .opencode/skills/nano-banana-pro-prompting in your project.
What does Nano Banana Pro Prompting need to run?
SKILL.md names no scripts, command-line tools or credentials: Nano Banana Pro Prompting is instructions for the agent only.
Does Nano Banana Pro Prompting access the network?
SKILL.md names 1 domain. As links in the text: fal.ai. This is read from the text; nothing was executed.
Is Nano Banana Pro Prompting 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 Pro Prompting use?
Nano Banana Pro Prompting is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Nano Banana Pro Prompting use?
About 1.8k tokens (SKILL.md is roughly 7.3k 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 Pro Prompting?
Skills that share tags, products or a category with Nano Banana Pro Prompting: Fal AI Media (affaan-m/ECC, 277k stars), Fal AI Image (chongdashu/vibejam-starter-pack, 149 stars), Fal AI Media (affaan-m/ECC, 277k stars) and Fal AI Media (affaan-m/ECC, 276k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Nano Banana Pro Prompting?
nodetool-ai (a GitHub organization) maintains it in nodetool-ai/nodetool, which has 560 GitHub stars. The repository holds 127 skills in this directory. The repository was last updated on October 10, 2026.
Source: nodetool-ai/nodetool on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.