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 or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent.
Install Create Image Fal
$ npx skills add gooseworks-ai/goose-skills --skill create-image-fal -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install gooseworks-ai/goose-skills create-image-fal --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/gooseworks-ai/goose-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ads/capabilities/create-image-fal .claude/skills/create-image-fal && 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 "create-image-fal" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/create-image-fal into .claude/skills/create-image-fal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-image-fal", 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/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/create-image-falType 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 gooseworks-ai/goose-skills --skill create-image-fal -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install gooseworks-ai/goose-skills create-image-fal --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ads/capabilities/create-image-fal .agents/skills/create-image-fal && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "create-image-fal" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/create-image-fal into .agents/skills/create-image-fal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-image-fal", 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 gooseworks-ai/goose-skills --skill create-image-fal -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install gooseworks-ai/goose-skills create-image-fal --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ads/capabilities/create-image-fal .cursor/skills/create-image-fal && 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 "create-image-fal" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/create-image-fal into .cursor/skills/create-image-fal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-image-fal", 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/gooseworks-ai/goose-skills.git --path skills/ads/capabilities/create-image-fal--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 gooseworks-ai/goose-skills --skill create-image-fal -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install gooseworks-ai/goose-skills create-image-fal --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ads/capabilities/create-image-fal .gemini/skills/create-image-fal && 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 "create-image-fal" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/create-image-fal into .gemini/skills/create-image-fal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-image-fal", 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 gooseworks-ai/goose-skills create-image-falInstalls 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 gooseworks-ai/goose-skills --skill create-image-fal -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ads/capabilities/create-image-fal .github/skills/create-image-fal && 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 "create-image-fal" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/create-image-fal into .github/skills/create-image-fal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-image-fal", 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 gooseworks-ai/goose-skills --skill create-image-fal -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install gooseworks-ai/goose-skills create-image-fal --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/gooseworks-ai/goose-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ads/capabilities/create-image-fal .opencode/skills/create-image-fal && 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 "create-image-fal" agent skill from https://github.com/gooseworks-ai/goose-skills/tree/main/skills/ads/capabilities/create-image-fal into .opencode/skills/create-image-fal/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "create-image-fal", 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
create-image-fal- GitHub stars
- 1.2k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 702 words
- Files
- 6 (incl. scripts, references)
- Skills in repo
- 273
- Repo updated
- First seen
- Licence
- MIT
At a glance
Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent.
- Flat-cover transforms
- SKILL.md covers Run, Contract, Edit an image (Nano Banana edit) and Creator references, plus 1 more section
- Runs Python scripts from its folder
- Product hero edits
What it does
Create Image Fal is an agent skill from gooseworks-ai/goose-skills. Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent. imageurls must be public URLs; --image puts a local file on the fal CDN first. The recipe names the model + prompt. Use for keyframes, flat-cover transforms, product hero edits. (For the OpenAI gpt-image family specifically, create-image-gpt-image-fal also exists.)
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/avatar-generation.md`, `scripts/gen_image.py` and `scripts/media_proxy.py`).
It sits in Media & Creative, covering Image generation. It works with Google Gemini and OpenAI. The repository describes itself as: Library of Growth & GTM skills + data APIs for Claude Code, Codex, Cursor to run ads, social, content, lead gen, seo and data scraping. The licence is MIT.
When your agent uses it
- Flat-cover transforms
- Product hero edits
Example prompts
- “/create-image-fal”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 4bbe1ef. 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
Ships 2 files in scripts/ (Python), which the agent can run.
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
Create Image Fal loads about 1.3k tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 108 tokens; SKILL.md has 702 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); the scripts in this folder are not scanned.
SKILL.md
The full file from gooseworks-ai/goose-skills at commit 4bbe1ef, republished under its MIT licence (© gooseworks-ai). 702 words, ~1,349 tokens.
Download SKILL.mdSave it as
.claude/skills/create-image-fal/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- create-image-fal
- description
- Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent. image_urls must be public URLs; --image puts a local file on the fal CDN first. The recipe names the model + prompt. Use for keyframes, flat-cover transforms, product hero edits. (For the OpenAI gpt-image family specifically, create-image-gpt-image-fal also exists.)
- status
- active
create-image-fal
Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent. image_urls must be public URLs; --image puts a local file on the fal CDN first. The recipe names the model + prompt. Use for keyframes, flat-cover transforms, product hero edits. (For the OpenAI gpt-image family specifically, create-image-gpt-image-fal also exists.)
Run
gen_image.py --model fal-ai/nano-banana/edit --payload '{...}' --out keyframe.png — bills the agent; returns the *.fal.media URL.
Contract
- Paid calls route through the GooseWorks proxies (bills the Ads agent) via the
bundled
media_proxy.py— never a provider SDK's default host. - The template recipe (DB) supplies the model + params; this capability is generic.
Edit an image (Nano Banana edit)
fal-ai/nano-banana/edit is the default editor for a prompt-driven edit: a restage or scene swap,
a subject swap in the same pose, a product placed into a scene. It keeps subject geometry, the room
and the light. Use create-image-gpt-image-fal instead when lettering is the point of the edit
(logos, wordmarks, signage) or for a transparent cutout. Small text inside the source can come back
mangled with either model; check it.
gen_image.py --model fal-ai/nano-banana/edit --image product.png --image https://.../scene.jpg \
--payload '{"prompt": "Put the bottle on the counter; keep everything else unchanged", "aspect_ratio": "9:16"}' \
--out edit.png--imageis repeatable and keeps its order; a public url passes through, a local file is put on the fal CDN through the GooseWorks storage proxy (free). Urls already in the payload'simage_urlscome first.- Payload:
prompt(required);aspect_ratioauto(the input's),21:9,16:9,3:2,4:3,5:4,1:1,4:5,3:4,2:3or9:16;output_formatpng,jpegorwebp;seed. The script saves the first image, so leavenum_imagesat 1. - There is no mask. For a region-locked edit, say "keep everything else unchanged" in the prompt.
- Keep the long edge of each input at about 2048 px or less.
- Check the result: it decodes, its size matches the asked aspect, and no watermark, garbled text or extra fingers appear.
Creator references
Whenever the image will contain a person (creator, presenter, interviewee or any face in focus), with or without a template recipe, read the bundled avatar-generation guide before any paid call. Unless the selected recipe prescribes its own creator still, make the person with create-creator-takes-h3's scripts/make_character.py, which calls this skill. Never hand-write a person prompt here and never use a Flux route (fal-ai/flux/dev, fal-ai/flux/schnell) for a face. When the selected video route forbids person references (for example the street-interview format), make no person still at all. If a required guide cannot be fetched or opened, stop and name the missing file. Use the current project's creator choices and approved model binding; fetching this guide does not authorize another image, a retry or a different render engine.
Show full SKILL.md (270 more words)Show less
Model notes
How the image models behave, measured on shipped projects. Each note lives here once; recipes point here instead of repeating it.
- Nano Banana: a reference anchors identity and style, not layout. It keeps a product's colourway, materials and proportions, and takes framing, background and pose from the prompt. For a photo-faithful product, composite the real photo instead.
- Nano Banana does not lock a face. With one reference or four real frames, it matched the room and the clothes and returned a lookalike. Never use it to re-pose or re-light a person already in published work, and compare faces side by side at the same scale before anything downstream spends on the result.
- Nano Banana redraws wordmarks with wrong glyphs. For product lettering use gpt-image-2 edit (create-image-gpt-image-fal) or composite the real packshot.
- Nano Banana paths are
fal-ai/nano-bananaandfal-ai/nano-banana/edit. The engine labelnano_banana_2is not a fal path, and the proxy refuses it as one. - Seedream 4.5 fills the canvas with a same-shaped subject: a wide monitor in a 9:16 canvas came back turned portrait three times in four. Generate at the subject's own aspect and crop.
- Seedream 4.5 draws the device you name. "Shot on a phone camera" put a phone and a hand in the frame despite the negatives. Describe the artefacts (close range, wide lens, mild barrel distortion, sensor noise), never the device.
- No image model holds a caption safe zone from framing words. Generate loose, then crop or pad to the zone and check it by drawing the band on the frame.
- Hard constraints: see the note in create-video-fal; it applies to image prompts too.
© gooseworks-ai, 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 (scripts, references) in skills/ads/capabilities/create-image-fal of gooseworks-ai/goose-skills.
- SKILL.md
- references/avatar-generation.md
- scripts/gen_image.py
- scripts/media_proxy.py
- skill.meta.json
- tests/smoke-test.md
Open the folder on GitHubat commit 4bbe1ef
Compare with similar skills
Create Image Fal 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 |
|---|---|---|---|---|---|---|
| Create Image Fal this skillgooseworks-ai/goose-skills | 1.2k | — | ~1.3k | 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 | — | ~8.1k | 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 | 570 | — | ~4.6k | Automated safety check: Pass | CC-BY-NC-4.0 | |
| Image GenerationNegai-ai/AgentClaw | 330 | — | ~1.9k | Automated safety check: Notes | Apache-2.0 |
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Works with
Categories
Questions about Create Image Fal
What does Create Image Fal do?
Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent. Create Image Fal is an agent skill from gooseworks-ai/goose-skills.), ROUTED THROUGH THE fal-proxy so it bills the Ads agent.
When should I use Create Image Fal?
Create Image Fal fits situations like: flat-cover transforms; product hero edits.
How do I install Create Image Fal in Claude Code?
Run `npx skills add gooseworks-ai/goose-skills --skill create-image-fal -a claude-code`. Or copy the skill folder (skills/ads/capabilities/create-image-fal in gooseworks-ai/goose-skills) into .claude/skills/create-image-fal in your project. Claude Code loads it when a task matches its description.
How do I install Create Image Fal in Codex?
Run `npx skills add gooseworks-ai/goose-skills --skill create-image-fal -a codex`. Or copy the skill folder (skills/ads/capabilities/create-image-fal in gooseworks-ai/goose-skills) into .agents/skills/create-image-fal in your project. Codex loads it when a task matches its description.
Can I use Create Image Fal 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 gooseworks-ai/goose-skills --skill create-image-fal -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/create-image-fal, .gemini/skills/create-image-fal, .github/skills/create-image-fal and .opencode/skills/create-image-fal in your project.
What does Create Image Fal need to run?
Going by SKILL.md and its folder, Create Image Fal needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Create Image Fal 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 Create Image Fal 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Create Image Fal use?
Create Image Fal is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Create Image Fal use?
About 1.3k tokens (SKILL.md is roughly 5.4k 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 2.1k tokens, read only when the agent opens those files.
What are the alternatives to Create Image Fal?
Skills that share tags, products or a category with Create Image Fal: 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, 570 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Create Image Fal?
gooseworks-ai (a GitHub organization) maintains it in gooseworks-ai/goose-skills, which has 1,242 GitHub stars. The repository holds 273 skills in this directory. The repository was last updated on October 10, 2026.
Source: gooseworks-ai/goose-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.