Fal Recipes

Organization

fal-ai-community

fal-recipes

Use-case-driven multi-step pipelines on fal.ai. Trigger when the user asks for a specific kind of content production rather than a single endpoint call: "make a commercial", "ad creative", "product photography", "cinematic shot", "film look", "character design", "consistent character", "anchor system", "storyboard", "multi-shot", "narrative video", "talking head", "lip sync", "make this person talk", "virtual try-on", "garment transfer", "restore image", "deblur", "denoise", "fix face", "old photo restore", "add audio to video", "video sound effects", "product shot", "photoreal", "realistic photo", "candid photo", "editorial portrait", "documentary photo", "looks like a real photograph", "iPhone-style photo", "film photo", "archival photo". Each recipe describes inputs, the genmedia call sequence, and quality checks.

Overview

Publisher	fal-ai-community
Repository	`skills`
Skill name	`fal-recipes`
Stars	255
Forks	35
Bundled files	10
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
10 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by fal-ai-community on GitHub. Read the source before you install it.

Installation

Install the Fal Recipes AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/fal-ai-community/skills/tree/main/skills/fal-recipes
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/fal-ai-community/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/fal-recipes .claude/skills/fal-recipes

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Fal Recipes in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Fal Recipes on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Fal Recipes is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

fal.ai Recipes

Runtime: All endpoint calls run via the genmedia CLI. See the genmedia skill for command syntax; run genmedia init once if not yet installed.

A recipe is a use-case-driven pipeline. It tells you the inputs to collect, the genmedia calls to chain, and the quality bar to verify before returning.

Recipes use genmedia for execution and fal-models-catalog for endpoint defaults. They differ from fal-workflow:

fal-workflow = how to build a pipeline (JSON authoring or CLI orchestration patterns), generic
fal-recipes = how to produce a specific kind of content, opinionated by use case

Available recipes

Reference	Use for
cinematography.md	Cinematic stills and video, shot language, lighting, lens, color grade
character-design.md	Original characters with consistent identity across shots
commercial.md	Product photography, ads, e-commerce batches, hero shots
storytelling.md	Multi-shot narratives, short films, ads, brand films, social stories
character-lipsync.md	Talking head / lip-sync video (TTS → animated portrait)
image-restoration.md	Smart-dispatch restoration, deblur, denoise, dehaze, fix faces, document restore
virtual-tryon.md	Apply a garment onto a person photo (with optional cleanup chain)
video-with-audio.md	Add narration / SFX / music to a silent video
product-shot.md	Hero product photography from a packshot reference
realism.md	Photoreal stills (candid, editorial, documentary, archival, food, nature, architectural) with an anti-AI-look checklist

How to choose a recipe

Match the user's intent to a use case in the table above.
If multiple recipes apply (e.g., "commercial featuring a consistent character"), load both and run the dominant one, usually the more specific one (character-design first, then commercial framing).
If no recipe matches but the task is multi-step, fall back to fal-workflow Mode B (CLI orchestration) and design the pipeline from scratch.
If the task is a single endpoint call, skip recipes, go directly to the right fal-models-catalog reference.

Universal recipe structure

Every reference follows the same skeleton so the agent knows where to look:

Inputs to collect: only what changes the pipeline.
Genmedia workflow: endpoint discovery, schema inspection, upload, run, status, download.
Prompt build order: domain-specific structure (e.g., SCLCAM for cinema, anchor + variable for character).
Patterns / examples: concrete prompt templates and finished examples.
Quality bar: explicit checks before returning.

Cross-references

For endpoint defaults: fal-models-catalog
For prompt-craft per model family: fal-prompting
For pipeline patterns (fan-out, sequential, frame-bridging, etc.): fal-workflow Mode B
For utility endpoints (resize, composite, audio merge, subtitle, etc.): fal-workflow/references/utility-endpoints.md

Information lives in one place. If a recipe needs an endpoint listed in the catalog, it links to the catalog instead of duplicating the list.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Fal Recipes AI skill do?

Why use Fal Recipes on TypingMind?

Because you install it once and use it with any model. Fal Recipes is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Fal Recipes in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/fal-ai-community/skills/tree/main/skills/fal-recipes. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Fal Recipes?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Fal Recipes?

As many as you like. As long as a model supports skills, you can use Fal Recipes with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Fal Recipes AI skill free?

It is published on GitHub by fal-ai-community. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

fal.ai Recipes

Available recipes

How to choose a recipe

Universal recipe structure

Cross-references

Bundled files

Frequently asked questions

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