Forge Media Route Layer
0x0funky/agent-sprite-forge
Generates an image or an image-to-video clip through a configured provider API or a signed-in Codex or Grok CLI, and reports the route, file, hash and cost estimate.
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。
Install Fal AI Media
$ npx skills add affaan-m/ECC --skill fal-ai-media -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install affaan-m/ECC fal-ai-media --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/affaan-m/ECC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/docs/zh-CN/skills/fal-ai-media .claude/skills/fal-ai-media && 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 "fal-ai-media" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/zh-CN/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 install https://github.com/affaan-m/ECC/tree/main/docs/zh-CN/skills/fal-ai-mediaType 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 affaan-m/ECC --skill fal-ai-media -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install affaan-m/ECC fal-ai-media --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .agents/skills && cp -r skills-src/docs/zh-CN/skills/fal-ai-media .agents/skills/fal-ai-media && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "fal-ai-media" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/zh-CN/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.
$ npx skills add affaan-m/ECC --skill fal-ai-media -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install affaan-m/ECC fal-ai-media --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/docs/zh-CN/skills/fal-ai-media .cursor/skills/fal-ai-media && 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 "fal-ai-media" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/zh-CN/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 https://github.com/affaan-m/ECC.git --path docs/zh-CN/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.
$ npx skills add affaan-m/ECC --skill fal-ai-media -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install affaan-m/ECC fal-ai-media --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/docs/zh-CN/skills/fal-ai-media .gemini/skills/fal-ai-media && 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 "fal-ai-media" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/zh-CN/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.
$ gh skill install affaan-m/ECC fal-ai-mediaInstalls 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 affaan-m/ECC --skill fal-ai-media -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .github/skills && cp -r skills-src/docs/zh-CN/skills/fal-ai-media .github/skills/fal-ai-media && 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 "fal-ai-media" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/zh-CN/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.
$ npx skills add affaan-m/ECC --skill fal-ai-media -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install affaan-m/ECC fal-ai-media --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/docs/zh-CN/skills/fal-ai-media .opencode/skills/fal-ai-media && 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 "fal-ai-media" agent skill from https://github.com/affaan-m/ECC/tree/main/docs/zh-CN/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
- 2 other repos
- Token cost
- ~1.2k tokens
- SKILL.md length
- 168 words
- Files
- 1
- Skills in repo
- 683
- Repo updated
- First seen
- Licence
- MIT
At a glance
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。
- Tasks that involve AI video generation
- SKILL.md covers 何时激活, MCP 要求, MCP 工具 and 图像生成, plus 6 more sections
- Reaches api.elevenlabs.io; needs FAL_KEY and ELEVENLABS_API_KEY
- Tasks that involve Image generation
What it does
Fal AI Media is an agent skill from affaan-m/ECC. 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。
Its SKILL.md is about 1.2k 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 and Image generation. 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
- 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_KEYELEVENLABS_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Fal AI Media loads about 1.2k tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 168 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 affaan-m/ECC at commit 2d515e4, republished under its MIT licence (© affaan-m). 168 words, ~1,242 tokens.
Download SKILL.mdSave it as
.claude/skills/fal-ai-media/SKILL.md (or your agent's skills folder).- name
- fal-ai-media
- description
- 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。
- origin
- ECC
fal.ai 媒体生成
通过 MCP 使用 fal.ai 模型生成图像、视频和音频。
何时激活
- 用户希望根据文本提示生成图像
- 根据文本或图像创建视频
- 生成语音、音乐或音效
- 任何媒体生成任务
- 用户提及“生成图像”、“创建视频”、“文本转语音”、“制作缩略图”或类似表述
MCP 要求
必须配置 fal.ai MCP 服务器。添加到 ~/.claude.json：
"fal-ai": {
"command": "npx",
"args": ["-y", "fal-ai-mcp-server"],
"env": { "FAL_KEY": "YOUR_FAL_KEY_HERE" }
}在 fal.ai 获取 API 密钥。
MCP 工具
fal.ai MCP 提供以下工具：
search— 通过关键词查找可用模型find— 获取模型详情和参数generate— 使用参数运行模型result— 检查异步生成状态status— 检查作业状态cancel— 取消正在运行的作业estimate_cost— 估算生成成本models— 列出热门模型upload— 上传文件用作输入
图像生成
Nano Banana 2（快速）
最适合：快速迭代、草稿、文生图、图像编辑。
generate(
app_id: "fal-ai/nano-banana-2",
input_data: {
"prompt": "未来主义日落城市景观，赛博朋克风格",
"image_size": "landscape_16_9",
"num_images": 1,
"seed": 42
}
)Nano Banana Pro（高保真）
最适合：生产级图像、写实感、排版、详细提示。
generate(
app_id: "fal-ai/nano-banana-pro",
input_data: {
"prompt": "专业产品照片，无线耳机置于大理石表面，影棚灯光",
"image_size": "square",
"num_images": 1,
"guidance_scale": 7.5
}
)常见图像参数
| 参数 | 类型 | 选项 | 说明 |
|---|---|---|---|
prompt | 字符串 | 必需 | 描述您想要的内容 |
image_size | 字符串 | square、portrait_4_3、landscape_16_9、portrait_16_9、landscape_4_3 | 宽高比 |
num_images | 数字 | 1-4 | 生成数量 |
seed | 数字 | 任意整数 | 可重现性 |
guidance_scale | 数字 | 1-20 | 遵循提示的紧密程度（值越高越贴近字面） |
图像编辑
使用 Nano Banana 2 并输入图像进行修复、扩展或风格迁移：
# 首先上传源图像
upload(file_path: "/path/to/image.png")
# 然后使用图像输入进行生成
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"
}
)视频生成
Seedance 1.0 Pro（字节跳动）
最适合：文生视频、图生视频，具有高运动质量。
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
最适合：文生/图生视频，带原生音频生成。
generate(
app_id: "fal-ai/kling-video/v3/pro",
input_data: {
"prompt": "海浪拍打着岩石海岸，乌云密布",
"duration": "5s",
"aspect_ratio": "16:9"
}
)Veo 3（Google DeepMind）
最适合：带生成声音的视频，高视觉质量。
generate(
app_id: "fal-ai/veo-3",
input_data: {
"prompt": "夜晚熙熙攘攘的东京街头市场，霓虹灯招牌，人群喧嚣",
"aspect_ratio": "16:9"
}
)图生视频
从现有图像开始：
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"
}
)视频参数
| 参数 | 类型 | 选项 | 说明 |
|---|---|---|---|
prompt | 字符串 | 必需 | 描述视频内容 |
duration | 字符串 | "5s"、"10s" | 视频长度 |
aspect_ratio | 字符串 | "16:9"、"9:16"、"1:1" | 帧比例 |
seed | 数字 | 任意整数 | 可重现性 |
image_url | 字符串 | URL | 用于图生视频的源图像 |
音频生成
CSM-1B（对话语音）
文本转语音，具有自然、对话式的音质。
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（视频转音频）
根据视频内容生成匹配的音频。
generate(
app_id: "fal-ai/thinksound",
input_data: {
"video_url": "<video_url>",
"prompt": "ambient forest sounds with birds chirping"
}
)ElevenLabs（通过 API，无 MCP）
如需专业的语音合成，直接使用 ElevenLabs：
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 生成式音频
如果配置了 VideoDB，使用其生成式音频：
# 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")成本估算
生成前，检查估算成本：
estimate_cost(
estimate_type: "unit_price",
endpoints: {
"fal-ai/nano-banana-pro": {
"unit_quantity": 1
}
}
)模型发现
查找特定任务的模型：
search(query: "text to video")
find(endpoint_ids: ["fal-ai/seedance-1-0-pro"])
models()提示
- 在迭代提示时，使用
seed以获得可重现的结果 - 先用低成本模型（Nano Banana 2）进行提示迭代，然后切换到 Pro 版进行最终生成
- 对于视频，保持提示描述性但简洁——聚焦于运动和场景
- 图生视频比纯文生视频能产生更可控的结果
- 在运行昂贵的视频生成前，检查
estimate_cost
相关技能
videodb— 视频处理、编辑和流媒体video-editing— AI 驱动的视频编辑工作流content-engine— 社交媒体平台内容创作
© affaan-m, MIT. 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 docs/zh-CN/skills/fal-ai-media of affaan-m/ECC.
Open the folder on GitHubat commit 2d515e4
Used in 2 other repositories
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in affaan-m/ECC, which our catalogue first saw on October 7, 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Fal AI Media this skillaffaan-m/ECC | 277k | 2 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Forge Media Route Layer0x0funky/agent-sprite-forge | 4.4k | — | ~2.2k | Automated safety check: Pass | MIT | |
| Higgsfield ModelsOSideMedia/higgsfield-ai-prompt-skill | 713 | — | ~7k | Automated safety check: Pass | MIT | |
| Seedance Storyboard Generatorliangdabiao/Seedance2-Storyboard-Generator | 2.6k | — | ~2.2k | Automated safety check: Pass | None | |
| Imagesmixs/visual-skills | 494 | — | ~2.1k | Automated safety check: Pass | CC-BY-4.0 | |
| HiggsfieldOSideMedia/higgsfield-ai-prompt-skill | 713 | — | ~9.1k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Fal AI Media
What does Fal AI Media do?
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。. Fal AI Media is an agent skill from affaan-m/ECC.
When should I use Fal AI Media?
Fal AI Media fits situations like: 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 (docs/zh-CN/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 (docs/zh-CN/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 1.2k tokens (SKILL.md is roughly 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), Seedance Storyboard Generator (liangdabiao/Seedance2-Storyboard-Generator, 2.6k stars) and Image (smixs/visual-skills, 494 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.