Agent skill

Fal AI Image

by artwist-polyakov in artwist-polyakov/polyakov-claude-skills

Generate/edit images via fal.ai. An agent skill from artwist-polyakov/polyakov-claude-skills.

Install Fal AI Image

skills CLI

$ npx skills add artwist-polyakov/polyakov-claude-skills --skill fal-ai-image -a claude-code

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

GitHub CLI

$ gh skill install artwist-polyakov/polyakov-claude-skills fal-ai-image --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/artwist-polyakov/polyakov-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/fal-ai-image/skills/fal-ai-image .claude/skills/fal-ai-image && 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/

Paste into Claude Code

Install the "fal-ai-image" agent skill from https://github.com/artwist-polyakov/polyakov-claude-skills/tree/main/plugins/fal-ai-image/skills/fal-ai-image into .claude/skills/fal-ai-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fal-ai-image", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/artwist-polyakov/polyakov-claude-skills/tree/main/plugins/fal-ai-image/skills/fal-ai-image

Type 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.

skills CLI

$ npx skills add artwist-polyakov/polyakov-claude-skills --skill fal-ai-image -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install artwist-polyakov/polyakov-claude-skills fal-ai-image --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/artwist-polyakov/polyakov-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/fal-ai-image/skills/fal-ai-image .agents/skills/fal-ai-image && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "fal-ai-image" agent skill from https://github.com/artwist-polyakov/polyakov-claude-skills/tree/main/plugins/fal-ai-image/skills/fal-ai-image into .agents/skills/fal-ai-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fal-ai-image", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add artwist-polyakov/polyakov-claude-skills --skill fal-ai-image -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install artwist-polyakov/polyakov-claude-skills fal-ai-image --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/artwist-polyakov/polyakov-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/fal-ai-image/skills/fal-ai-image .cursor/skills/fal-ai-image && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "fal-ai-image" agent skill from https://github.com/artwist-polyakov/polyakov-claude-skills/tree/main/plugins/fal-ai-image/skills/fal-ai-image into .cursor/skills/fal-ai-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fal-ai-image", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/artwist-polyakov/polyakov-claude-skills.git --path plugins/fal-ai-image/skills/fal-ai-image

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add artwist-polyakov/polyakov-claude-skills --skill fal-ai-image -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install artwist-polyakov/polyakov-claude-skills fal-ai-image --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/artwist-polyakov/polyakov-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/fal-ai-image/skills/fal-ai-image .gemini/skills/fal-ai-image && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "fal-ai-image" agent skill from https://github.com/artwist-polyakov/polyakov-claude-skills/tree/main/plugins/fal-ai-image/skills/fal-ai-image into .gemini/skills/fal-ai-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fal-ai-image", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install artwist-polyakov/polyakov-claude-skills fal-ai-image

Installs 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).

skills CLI

$ npx skills add artwist-polyakov/polyakov-claude-skills --skill fal-ai-image -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/artwist-polyakov/polyakov-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/fal-ai-image/skills/fal-ai-image .github/skills/fal-ai-image && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "fal-ai-image" agent skill from https://github.com/artwist-polyakov/polyakov-claude-skills/tree/main/plugins/fal-ai-image/skills/fal-ai-image into .github/skills/fal-ai-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fal-ai-image", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add artwist-polyakov/polyakov-claude-skills --skill fal-ai-image -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install artwist-polyakov/polyakov-claude-skills fal-ai-image --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/artwist-polyakov/polyakov-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/fal-ai-image/skills/fal-ai-image .opencode/skills/fal-ai-image && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "fal-ai-image" agent skill from https://github.com/artwist-polyakov/polyakov-claude-skills/tree/main/plugins/fal-ai-image/skills/fal-ai-image into .opencode/skills/fal-ai-image/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fal-ai-image", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: fal-ai-image
GitHub stars: 208
Token cost: ~2.1k tokens
SKILL.md length: 794 words
Files: 14 (incl. scripts, references)
Skills in repo: 21
Repo updated: Oct 8, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Generate/edit images via fal.ai. An agent skill from artwist-polyakov/polyakov-claude-skills.

Works in 4 steps: model — one-off override for the current… → FAL_IMAGE_MODEL — exact override in config → FAL_IMAGE_PROVIDER — google or openai → …
Tasks that involve Image generation
SKILL.md covers STOP — Read Before Acting, Quick Start Decision, Config and Model Notes, plus 4 more sections
Runs Shell scripts from its folder; calls sh; needs FAL_KEY

What it does

Fal AI Image is an agent skill from artwist-polyakov/polyakov-claude-skills. Generate/edit images via fal.ai. Supports Google Nano Banana Pro and OpenAI GPT Image 2 selected from config/.env. Supports reference images and strong text rendering. ALWAYS read SKILL.md before first use.

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files, including scripts and reference files (for example `config/README.md`, `references/EDITING.md` and `references/MODELS.md`).

It sits in Media & Creative, covering Image generation. It works with fal, Google Gemini and OpenAI. The repository describes itself as: Набор скиллов для Claude. The licence is MIT.

When your agent uses it

Tasks that involve Image generation

Example prompts

“/fal-ai-image”

Requirements

A Bash shell
A credential in FAL_KEY

Workflow steps

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

model — one-off override for the current command
FAL_IMAGE_MODEL — exact override in config
FAL_IMAGE_PROVIDER — google or openai
nothing set — default to Nano Banana Pro

What it can do on your machine

Read from SKILL.md and the folder at commit 8bbeead. 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 8 files in scripts/ (Shell), which the agent can run.
Shell commands in SKILL.md call:
- sh
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 these keys or tokens, usually read from environment variables:
- FAL_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Fal AI Image loads about 2.1k tokens when it runs, and up to ~3.1k if it reads all its reference files. Until then it costs about 55 tokens; SKILL.md has 794 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~55
When it runs · the whole SKILL.md, loaded when a task matches: ~2.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~3.1k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

NoteMentions a .env fileSKILL.md:3

OpenAI GPT Image 2 selected from config/.env. Supports reference images and strong text rendering. ALWAYS read SKILL.md

NoteMentions a .env fileSKILL.md:11

nai/gpt-image-2`) — enabled from `config/.env`

NoteMentions a .env fileSKILL.md:35
```
Model comes from config/.env:
```

NoteMentions a .env fileSKILL.md:43

Requires `FAL_KEY` in `config/.env` or the environment.

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 artwist-polyakov/polyakov-claude-skills at commit 8bbeead, republished under its MIT licence (© artwist-polyakov). 794 words, ~2,081 tokens.

Download SKILL.mdSave it as .claude/skills/fal-ai-image/SKILL.md (or your agent's skills folder). This skill also uses 13 other files; get the full folder from GitHub.

name: fal-ai-image
description: Generate/edit images via fal.ai. Supports Google Nano Banana Pro and OpenAI GPT Image 2 selected from config/.env. Supports reference images and strong text rendering. ALWAYS read SKILL.md before first use.

fal-ai-image

Generate images via fal.ai. The skill now supports two fal-hosted models:

Google Nano Banana Pro (fal-ai/nano-banana-pro) — default, backward-compatible
OpenAI GPT Image 2 (openai/gpt-image-2) — enabled from config/.env

Synonyms the agent should treat as equivalent:

gpt = openai = GPT Image 2
nano banana = google = gemini = Nano Banana Pro

Best for: infographics, text rendering, banners, photo edits, reference-based compositions.

STOP — Read Before Acting

DO NOT use Pillow, ImageMagick, or post-processing for text/logo overlay unless the user explicitly asked for that workflow
DO NOT use Generate mode when the user provided reference images — use Edit mode
DO NOT assume GPT is active — check config/README.md logic; if no selector is configured, the skill stays on Nano Banana
DO NOT guess provider-specific params — Nano Banana and GPT Image 2 use different schemas
DO pass --model ... when the user explicitly asks for a specific model/provider or asks to compare providers
DO NOT skip uploading local files — run upload.sh first to get URLs for edit.sh

Quick Start Decision

text

Reference images provided?  -> Edit mode   (upload.sh -> edit.sh)
Text-only generation?       -> Generate mode (generate.sh)

Model comes from config/.env:
  no selector set           -> Nano Banana Pro
  FAL_IMAGE_PROVIDER=openai -> GPT Image 2
  FAL_IMAGE_MODEL=...       -> exact override

Config

Requires FAL_KEY in config/.env or the environment.

Model selection:

--model — one-off override for the current command
FAL_IMAGE_MODEL — exact override in config
FAL_IMAGE_PROVIDER — google or openai
nothing set — default to Nano Banana Pro

Use --model whenever the user explicitly says things like:

"сделай через GPT"
"используй OpenAI"
"сделай через Google / Gemini / Nano Banana"
"какие тут есть провайдеры?"

Answer that the skill supports two choices and map the command like this:

--model gpt for OpenAI GPT Image 2
--model gemini or --model nano-banana for Nano Banana

OpenAI quality default:

FAL_IMAGE_OPENAI_QUALITY=medium unless overridden with --quality
this skill intentionally uses medium as the default for GPT to avoid expensive exploratory runs

Full setup and troubleshooting: config/README.md.

Read references only when needed:

references/MODELS.md — selector precedence, aliases, cost heuristics
references/EDITING.md — generate vs edit, mask_url, inpainting behavior

Model Notes

Nano Banana Pro

Strengths:

lower-friction default for existing installs
strong text rendering, including Cyrillic
good at infographics, banners, and mixed text/image layouts
supports --web-search in generate mode

Main params:

--aspect-ratio
--resolution
--web-search (generate only)

OpenAI GPT Image 2

Strengths:

stronger prompt adherence and fine-grained edits
better photorealism and product-style renders
native quality control
uses the same FAL_KEY through fal, no separate OpenAI key
current fal pricing is size/quality-dependent; a rough high-quality mental model is about $0.18 per image, but check the live model page before quoting an exact number

Main params:

--image-size
--quality

Compatibility layer:

if --image-size is omitted, the scripts derive a valid OpenAI image_size from --aspect-ratio + --resolution
this lets old prompts continue working after the provider switch in config

Workflow

Generate mode

Decide model from config
Clarify missing params only if needed:
- Nano Banana: aspect ratio, resolution
- GPT Image 2: image size and quality
Propose save path based on project structure
Run generate.sh
Parse result JSON, report URL and local files if downloaded

Show full SKILL.md (327 more words)Show less

Edit mode

Get reference images:
- URL already available -> use directly
- local file -> upload.sh
Decide model from config
Clarify edit intent
Run edit.sh
Parse result JSON, report URL and local files if downloaded

Scripts

generate.sh

Nano Banana example:

bash

sh scripts/generate.sh \
  --model "gemini" \
  --prompt "infographic about coffee brewing" \
  --aspect-ratio "9:16" \
  --resolution "1K" \
  --output-dir "./images" \
  --filename "coffee_infographic"

GPT Image 2 example:

bash

sh scripts/generate.sh \
  --model "gpt" \
  --prompt "realistic product hero shot with sharp packaging text" \
  --image-size "landscape_4_3" \
  --quality "medium" \
  --output-dir "./images" \
  --filename "product_hero"

Compatibility example for GPT:

bash

sh scripts/generate.sh \
  --model "openai" \
  --prompt "editorial portrait, window light, magazine cover layout" \
  --aspect-ratio "4:3" \
  --resolution "2K"

Param	Required	Default	Notes
`--prompt`	yes	-	text prompt
`--model`	no	config / Nano Banana fallback	`nano-banana`, `google`, `gemini`, `gpt`, `openai`, or exact endpoint
`--aspect-ratio`	no	`1:1`	Nano native; for GPT used only when `--image-size` is omitted
`--resolution`	no	`1K`	Nano native; for GPT used only when `--image-size` is omitted
`--image-size`	no	derived from ratio/resolution	GPT only; preset (`landscape_4_3`) or `WIDTHxHEIGHT`
`--quality`	no	`medium` via config	GPT only; `low`, `medium`, `high`
`--num-images`	no	1	1-4
`--output-format`	no	`png`	`jpeg`, `png`, `webp`
`--output-dir`	no	-	local path
`--filename`	no	`generated`	base filename
`--web-search`	no	false	Nano only; ignored for GPT

edit.sh

Nano Banana example:

bash

sh scripts/edit.sh \
  --model "gemini" \
  --prompt "combine these into a collage" \
  --image-urls "https://example.com/img1.png,https://example.com/img2.png" \
  --aspect-ratio "16:9" \
  --output-dir "./images" \
  --filename "collage"

GPT Image 2 example:

bash

sh scripts/edit.sh \
  --model "gpt" \
  --prompt "make this product shot look like a premium studio campaign" \
  --image-urls "https://example.com/source.png" \
  --mask-url "https://example.com/mask.png" \
  --image-size "auto" \
  --quality "medium" \
  --output-dir "./images" \
  --filename "studio_edit"

Param	Required	Default	Notes
`--prompt`	yes	-	edit instruction
`--image-urls`	yes	-	comma-separated URLs
`--model`	no	config / Nano Banana fallback	`nano-banana`, `google`, `gemini`, `gpt`, `openai`, or exact endpoint
`--mask-url`	no	-	GPT edit only; optional mask for targeted edits
`--aspect-ratio`	no	`auto`	Nano native; for GPT used only when `--image-size` is omitted
`--resolution`	no	`1K`	Nano native; for GPT used only when `--image-size` is omitted
`--image-size`	no	derived from ratio/resolution / `auto`	GPT only
`--quality`	no	`medium` via config	GPT only
`--num-images`	no	1	1-4
`--output-format`	no	`png`	`jpeg`, `png`, `webp`
`--output-dir`	no	-	local path
`--filename`	no	`edited`	base filename

upload.sh

bash

# Get hosted URL for local file
URL=$(sh scripts/upload.sh --file /path/to/image.png)

# Get base64 data URI for manual API work
URI=$(sh scripts/upload.sh --file /path/to/image.png --base64)

Cost Guidance

Nano Banana Pro is the cheaper and safer default for quick iterations
GPT Image 2 cost depends heavily on quality and image_size
this skill defaults GPT to medium quality to reduce surprise spend

For current pricing, check fal's model pages in config/README.md.

Notes

result URLs expire in roughly one hour — download locally if you need persistence
uploaded files on fal storage are temporary
edit.sh now polls the same /edit queue endpoints documented by fal

Files

SKILL.md and 13 other files (scripts, references) in plugins/fal-ai-image/skills/fal-ai-image of artwist-polyakov/polyakov-claude-skills.

SKILL.md
.gitignore
config/.env.example
config/README.md
references/EDITING.md
references/MODELS.md
scripts/common.sh
scripts/edit.sh
scripts/generate.sh
scripts/tests/run.sh
scripts/tests/test_config_selector.sh
scripts/tests/test_edit_openai_mask.sh
scripts/tests/test_openai_image_size.sh
scripts/upload.sh

Open the folder on GitHubat commit 8bbeead

Compare with similar skills

Fal AI Image next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Fal AI Image compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Fal AI Image this skillartwist-polyakov/polyakov-claude-skills	208	—	~2.1k	Automated safety check: Notes	MIT	3 days ago
Model Routingfal-ai-community/skills	251	—	~1.5k	Automated safety check: Pass	None	12 days ago
9Router Image Generationdecolua/9router	31k	—	~830	Automated safety check: Pass	MIT	3 days ago
2D Map and Scene Generator0x0funky/agent-sprite-forge	4.4k	—	~2.9k	Automated safety check: Pass	MIT	5 days ago
Forge Media Route Layer0x0funky/agent-sprite-forge	4.4k	—	~2.2k	Automated safety check: Pass	MIT	5 days ago
2D Sprite Generator0x0funky/agent-sprite-forge	4.4k	—	~3.6k	Automated safety check: Pass	MIT	5 days ago

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Works with

Questions about Fal AI Image

What does Fal AI Image do?

Generate/edit images via fal.ai. An agent skill from artwist-polyakov/polyakov-claude-skills. Fal AI Image is an agent skill from artwist-polyakov/polyakov-claude-skills.ai.

When should I use Fal AI Image?

Fal AI Image fits situations like: tasks that involve Image generation.

How do I install Fal AI Image in Claude Code?

Run `npx skills add artwist-polyakov/polyakov-claude-skills --skill fal-ai-image -a claude-code`. Or copy the skill folder (plugins/fal-ai-image/skills/fal-ai-image in artwist-polyakov/polyakov-claude-skills) into .claude/skills/fal-ai-image in your project. Claude Code loads it when a task matches its description.

How do I install Fal AI Image in Codex?

Run `npx skills add artwist-polyakov/polyakov-claude-skills --skill fal-ai-image -a codex`. Or copy the skill folder (plugins/fal-ai-image/skills/fal-ai-image in artwist-polyakov/polyakov-claude-skills) into .agents/skills/fal-ai-image in your project. Codex loads it when a task matches its description.

Can I use Fal AI Image 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 artwist-polyakov/polyakov-claude-skills --skill fal-ai-image -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fal-ai-image, .gemini/skills/fal-ai-image, .github/skills/fal-ai-image and .opencode/skills/fal-ai-image in your project.

What does Fal AI Image need to run?

Going by SKILL.md and its folder, Fal AI Image needs a shell for the scripts in its folder, the command-line tools its instructions call (sh) and credentials named FAL_KEY. Our summary lists: A Bash shell; A credential in FAL_KEY.

Does Fal AI Image 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 Fal AI Image safe to install?

Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. 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 Fal AI Image use?

Fal AI Image 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 Fal AI Image use?

About 2.1k tokens (SKILL.md is roughly 8.3k 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 1k tokens, read only when the agent opens those files.

What are the alternatives to Fal AI Image?

Skills that share tags, products or a category with Fal AI Image: Model Routing (fal-ai-community/skills, 251 stars), 9Router Image Generation (decolua/9router, 31k stars), 2D Map and Scene Generator (0x0funky/agent-sprite-forge, 4.4k stars) and Forge Media Route Layer (0x0funky/agent-sprite-forge, 4.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fal AI Image?

artwist-polyakov (a GitHub user) maintains it in artwist-polyakov/polyakov-claude-skills, which has 208 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on October 8, 2026.

Source: artwist-polyakov/polyakov-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.

Install Fal AI Image

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

fal-ai-image

STOP — Read Before Acting

Quick Start Decision

Config

Model Notes

Nano Banana Pro

OpenAI GPT Image 2

Workflow

Generate mode

Edit mode

Scripts

generate.sh

edit.sh

upload.sh

Cost Guidance

Notes

Files

Compare with similar skills

Similar skills

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Questions about Fal AI Image