Agent skill

Fal AI Media

Unified media generation via fal.ai MCP — image, video, and audio.

Install Fal AI Media

skills CLI

$ npx skills add affaan-m/ECC --skill fal-ai-media -a claude-code

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

GitHub CLI

$ gh skill install affaan-m/ECC fal-ai-media --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/affaan-m/ECC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/fal-ai-media .claude/skills/fal-ai-media && 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-media" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/fal-ai-media into .claude/skills/fal-ai-media/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fal-ai-media", 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/affaan-m/ECC/tree/main/skills/fal-ai-media

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 affaan-m/ECC --skill fal-ai-media -a codex

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

GitHub CLI

$ gh skill install affaan-m/ECC fal-ai-media --agent codex

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

Manual copy

$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/fal-ai-media .agents/skills/fal-ai-media && 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-media" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/fal-ai-media into .agents/skills/fal-ai-media/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fal-ai-media", 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 affaan-m/ECC --skill fal-ai-media -a cursor

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

GitHub CLI

$ gh skill install affaan-m/ECC fal-ai-media --agent cursor

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

Manual copy

$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/fal-ai-media .cursor/skills/fal-ai-media && 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-media" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/fal-ai-media into .cursor/skills/fal-ai-media/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fal-ai-media", 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/affaan-m/ECC.git --path skills/fal-ai-media

--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 affaan-m/ECC --skill fal-ai-media -a gemini-cli

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

GitHub CLI

$ gh skill install affaan-m/ECC fal-ai-media --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/affaan-m/ECC.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/fal-ai-media .gemini/skills/fal-ai-media && 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-media" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/fal-ai-media into .gemini/skills/fal-ai-media/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fal-ai-media", 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 affaan-m/ECC fal-ai-media

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 affaan-m/ECC --skill fal-ai-media -a github-copilot

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

Manual copy

$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/fal-ai-media .github/skills/fal-ai-media && 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-media" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/fal-ai-media into .github/skills/fal-ai-media/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fal-ai-media", 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 affaan-m/ECC --skill fal-ai-media -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 affaan-m/ECC fal-ai-media --agent opencode

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

Manual copy

$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/fal-ai-media .opencode/skills/fal-ai-media && 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-media" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/fal-ai-media into .opencode/skills/fal-ai-media/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fal-ai-media", 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-media
GitHub stars: 277k
Used in: 4 other repos
Token cost: ~1.9k tokens
SKILL.md length: 499 words
Files: 1
Skills in repo: 683
Repo updated: Oct 11, 2026
First seen: Oct 9, 2026
Licence: MIT

At a glance

Unified media generation via fal.ai MCP — image, video, and audio.

The user wants to generate images
SKILL.md covers When to Activate, MCP Requirement, MCP Tools and Image Generation, plus 6 more sections
Reaches api.elevenlabs.io; needs FAL_KEY and ELEVENLABS_API_KEY
Tasks that involve AI video generation

What it does

Fal AI Media is an agent skill from affaan-m/ECC. Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

Its SKILL.md is about 1.9k 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 AI video generation, Image generation and Text to speech and voice. It works with fal, Model Context Protocol, Google Gemini and Google Veo. The repository describes itself as: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. The licence is MIT.

When your agent uses it

The user wants to generate images
Tasks that involve AI video generation
Tasks that involve Image generation

Example prompts

“/fal-ai-media”

Requirements

Python 3
A credential in FAL_KEY
A credential in ELEVENLABS_API_KEY

What it can do on your machine

Read from SKILL.md and the folder at commit 2d515e4. 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 (its code samples are python and json).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- api.elevenlabs.io
Also links to:
- fal.ai
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
- ELEVENLABS_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Fal AI Media loads about 1.9k tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 499 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~72
When it runs · the whole SKILL.md, loaded when a task matches: ~1.9k

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 affaan-m/ECC at commit 2d515e4, republished under its MIT licence (© affaan-m). 499 words, ~1,872 tokens.

Download SKILL.mdSave it as .claude/skills/fal-ai-media/SKILL.md (or your agent's skills folder).

name: fal-ai-media
description: Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.
metadata.origin: ECC

fal.ai Media Generation

Drift-prone skill. fal.ai model IDs, pricing, inputs, and MCP tool names change quickly. Search or fetch the current model metadata before promising a specific model, parameter, output format, or cost.

Generate images, videos, and audio using fal.ai models via MCP.

When to Activate

User wants to generate images from text prompts
Creating videos from text or images
Generating speech, music, or sound effects
Any media generation task
User says "generate image", "create video", "text to speech", "make a thumbnail", or similar

MCP Requirement

fal.ai MCP server must be configured. Add to ~/.claude.json:

json

"fal-ai": {
  "command": "npx",
  "args": ["-y", "fal-ai-mcp-server"],
  "env": { "FAL_KEY": "YOUR_FAL_KEY_HERE" }
}

Get an API key at fal.ai.

MCP Tools

The fal.ai MCP provides these tools:

search — Find available models by keyword
find — Get model details and parameters
generate — Run a model with parameters
result — Check async generation status
status — Check job status
cancel — Cancel a running job
estimate_cost — Estimate generation cost
models — List popular models
upload — Upload files for use as inputs

Image Generation

Nano Banana 2 (Fast)

Best for: quick iterations, drafts, text-to-image, image editing.

generate(
  app_id: "fal-ai/nano-banana-2",
  input_data: {
    "prompt": "a futuristic cityscape at sunset, cyberpunk style",
    "image_size": "landscape_16_9",
    "num_images": 1,
    "seed": 42
  }
)

Nano Banana Pro (High Fidelity)

Best for: production images, realism, typography, detailed prompts.

generate(
  app_id: "fal-ai/nano-banana-pro",
  input_data: {
    "prompt": "professional product photo of wireless headphones on marble surface, studio lighting",
    "image_size": "square",
    "num_images": 1,
    "guidance_scale": 7.5
  }
)

Common Image Parameters

Param	Type	Options	Notes
`prompt`	string	required	Describe what you want
`image_size`	string	`square`, `portrait_4_3`, `landscape_16_9`, `portrait_16_9`, `landscape_4_3`	Aspect ratio
`num_images`	number	1-4	How many to generate
`seed`	number	any integer	Reproducibility
`guidance_scale`	number	1-20	How closely to follow the prompt (higher = more literal)

Image Editing

Use Nano Banana 2 with an input image for inpainting, outpainting, or style transfer:

# First upload the source image
upload(file_path: "/path/to/image.png")

# Then generate with image input
generate(
  app_id: "fal-ai/nano-banana-2",
  input_data: {
    "prompt": "same scene but in watercolor style",
    "image_url": "<uploaded_url>",
    "image_size": "landscape_16_9"
  }
)

Video Generation

Seedance 1.0 Pro (ByteDance)

Best for: text-to-video, image-to-video with high motion quality.

generate(
  app_id: "fal-ai/seedance-1-0-pro",
  input_data: {
    "prompt": "a drone flyover of a mountain lake at golden hour, cinematic",
    "duration": "5s",
    "aspect_ratio": "16:9",
    "seed": 42
  }
)

Kling Video v3 Pro

Best for: text/image-to-video with native audio generation.

generate(
  app_id: "fal-ai/kling-video/v3/pro",
  input_data: {
    "prompt": "ocean waves crashing on a rocky coast, dramatic clouds",
    "duration": "5s",
    "aspect_ratio": "16:9"
  }
)

Veo 3 (Google DeepMind)

Best for: video with generated sound, high visual quality.

generate(
  app_id: "fal-ai/veo-3",
  input_data: {
    "prompt": "a bustling Tokyo street market at night, neon signs, crowd noise",
    "aspect_ratio": "16:9"
  }
)

Image-to-Video

Start from an existing image:

generate(
  app_id: "fal-ai/seedance-1-0-pro",
  input_data: {
    "prompt": "camera slowly zooms out, gentle wind moves the trees",
    "image_url": "<uploaded_image_url>",
    "duration": "5s"
  }
)

Show full SKILL.md (209 more words)Show less

Video Parameters

Param	Type	Options	Notes
`prompt`	string	required	Describe the video
`duration`	string	`"5s"`, `"10s"`	Video length
`aspect_ratio`	string	`"16:9"`, `"9:16"`, `"1:1"`	Frame ratio
`seed`	number	any integer	Reproducibility
`image_url`	string	URL	Source image for image-to-video

Audio Generation

CSM-1B (Conversational Speech)

Text-to-speech with natural, conversational quality.

generate(
  app_id: "fal-ai/csm-1b",
  input_data: {
    "text": "Hello, welcome to the demo. Let me show you how this works.",
    "speaker_id": 0
  }
)

ThinkSound (Video-to-Audio)

Generate matching audio from video content.

generate(
  app_id: "fal-ai/thinksound",
  input_data: {
    "video_url": "<video_url>",
    "prompt": "ambient forest sounds with birds chirping"
  }
)

ElevenLabs (via API, no MCP)

For professional voice synthesis, use ElevenLabs directly:

python

import os
import requests

resp = requests.post(
    "https://api.elevenlabs.io/v1/text-to-speech/<voice_id>",
    headers={
        "xi-api-key": os.environ["ELEVENLABS_API_KEY"],
        "Content-Type": "application/json"
    },
    json={
        "text": "Your text here",
        "model_id": "eleven_turbo_v2_5",
        "voice_settings": {"stability": 0.5, "similarity_boost": 0.75}
    }
)
with open("output.mp3", "wb") as f:
    f.write(resp.content)

VideoDB Generative Audio

If VideoDB is configured, use its generative audio:

python

# Voice generation
audio = coll.generate_voice(text="Your narration here", voice="alloy")

# Music generation
music = coll.generate_music(prompt="upbeat electronic background music", duration=30)

# Sound effects
sfx = coll.generate_sound_effect(prompt="thunder crack followed by rain")

Cost Estimation

Before generating, check estimated cost:

estimate_cost(
  estimate_type: "unit_price",
  endpoints: {
    "fal-ai/nano-banana-pro": {
      "unit_quantity": 1
    }
  }
)

Model Discovery

Find models for specific tasks:

search(query: "text to video")
find(endpoint_ids: ["fal-ai/seedance-1-0-pro"])
models()

Tips

Use seed for reproducible results when iterating on prompts
Start with lower-cost models (Nano Banana 2) for prompt iteration, then switch to Pro for finals
For video, keep prompts descriptive but concise — focus on motion and scene
Image-to-video produces more controlled results than pure text-to-video
Check estimate_cost before running expensive video generations

tasteforge-video — Offline taste distillation and modality planning. Its endpoint candidates and request manifests are reference-only, not submitted jobs or saved Fal workflows. A TasteForge handoff does not authorize upload or generation; use a separately authorized provider workflow and verify its current endpoint schema before executing.
videodb — Video processing, editing, and streaming
video-editing — AI-powered video editing workflows
content-engine — Content creation for social platforms

Files

Just SKILL.md in skills/fal-ai-media of affaan-m/ECC.

Open the folder on GitHubat commit 2d515e4

Used in 4 other repositories

We found 11 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 4 other GitHub owners. This page covers the copy in affaan-m/ECC, which our catalogue first saw on October 9, 2026.

Compare with similar skills

Fal AI Media 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 Media compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Fal AI Media this skillaffaan-m/ECC	277k	4 repos	~1.9k	Automated safety check: Pass	MIT	today
Forge Media Route Layer0x0funky/agent-sprite-forge	4.4k	—	~2.2k	Automated safety check: Pass	MIT	4 days ago
Higgsfield ModelsOSideMedia/higgsfield-ai-prompt-skill	713	—	~7k	Automated safety check: Pass	MIT	14 days ago
GeminiAnil-matcha/awesome-muse-connectors	1.3k	—	~778	Automated safety check: Pass	MIT	5 days ago
Seedance Storyboard Generatorliangdabiao/Seedance2-Storyboard-Generator	2.6k	—	~2.2k	Automated safety check: Pass	None	20 days ago
Imagesmixs/visual-skills	494	—	~2.1k	Automated safety check: Pass	CC-BY-4.0	24 days ago

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Questions about Fal AI Media

What does Fal AI Media do?

Unified media generation via fal.ai MCP — image, video, and audio. Fal AI Media is an agent skill from affaan-m/ECC.ai MCP — image, video, and audio.

When should I use Fal AI Media?

Fal AI Media fits situations like: the user wants to generate images; tasks that involve AI video generation; tasks that involve Image generation.

How do I install Fal AI Media in Claude Code?

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

How do I install Fal AI Media in Codex?

Run `npx skills add affaan-m/ECC --skill fal-ai-media -a codex`. Or copy the skill folder (skills/fal-ai-media in affaan-m/ECC) into .agents/skills/fal-ai-media in your project. Codex loads it when a task matches its description.

Can I use Fal AI Media 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 affaan-m/ECC --skill fal-ai-media -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-media, .gemini/skills/fal-ai-media, .github/skills/fal-ai-media and .opencode/skills/fal-ai-media in your project.

What does Fal AI Media need to run?

Going by SKILL.md and its folder, Fal AI Media needs credentials named FAL_KEY and ELEVENLABS_API_KEY. Our summary lists: Python 3; A credential in FAL_KEY; A credential in ELEVENLABS_API_KEY.

Does Fal AI Media access the network?

SKILL.md names 2 domains. In commands or code: api.elevenlabs.io; the agent is likely to contact it when it follows the instructions. As links in the text: fal.ai. This is read from the text; nothing was executed.

Is Fal AI Media 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 Fal AI Media use?

Fal AI Media 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 Media use?

About 1.9k tokens (SKILL.md is roughly 7.5k 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 Fal AI Media?

Skills that share tags, products or a category with Fal AI Media: Forge Media Route Layer (0x0funky/agent-sprite-forge, 4.4k stars), Higgsfield Models (OSideMedia/higgsfield-ai-prompt-skill, 713 stars), Gemini (Anil-matcha/awesome-muse-connectors, 1.3k stars) and Seedance Storyboard Generator (liangdabiao/Seedance2-Storyboard-Generator, 2.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fal AI Media?

affaan-m (a GitHub user) maintains it in affaan-m/ECC, which has 276,673 GitHub stars. The repository holds 683 skills in this directory. The repository was last updated on October 11, 2026.

Source: affaan-m/ECC 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 Media

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

fal.ai Media Generation

When to Activate

MCP Requirement

MCP Tools

Image Generation

Nano Banana 2 (Fast)

Nano Banana Pro (High Fidelity)

Common Image Parameters

Image Editing

Video Generation

Seedance 1.0 Pro (ByteDance)

Kling Video v3 Pro

Veo 3 (Google DeepMind)

Image-to-Video

Video Parameters

Audio Generation

CSM-1B (Conversational Speech)

ThinkSound (Video-to-Audio)

ElevenLabs (via API, no MCP)

VideoDB Generative Audio

Cost Estimation

Model Discovery

Tips

Related Skills

Files

Used in 4 other repositories

Compare with similar skills

Similar skills

More from affaan-m/ECC

Related

Questions about Fal AI Media