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.
fal.ai MCPによる統合メディア生成(画像、動画、音声)。テキストから画像(Nano Banana)、テキスト/画像から動画(Seedance、Kling、Veo 3)、テキストから音声(CSM-1B)、動画から音声(ThinkSound)をカバーします。ユーザーがAIで画像、動画、音声を生成したい場合に使用します。
$ 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/ja-JP/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/ja-JP/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/ja-JP/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/ja-JP/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/ja-JP/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/ja-JP/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/ja-JP/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/ja-JP/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/ja-JP/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/ja-JP/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/ja-JP/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/ja-JP/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/ja-JP/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/ja-JP/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.
fal-ai-mediafal.ai MCPによる統合メディア生成(画像、動画、音声)。テキストから画像(Nano Banana)、テキスト/画像から動画(Seedance、Kling、Veo 3)、テキストから音声(CSM-1B)、動画から音声(ThinkSound)をカバーします。ユーザーがAIで画像、動画、音声を生成したい場合に使用します。
Fal AI Media is an agent skill from affaan-m/ECC. fal.ai MCPによる統合メディア生成(画像、動画、音声)。テキストから画像(Nano Banana)、テキスト/画像から動画(Seedance、Kling、Veo 3)、テキストから音声(CSM-1B)、動画から音声(ThinkSound)をカバーします。ユーザーがAIで画像、動画、音声を生成したい場合に使用します。
Its SKILL.md is about 1.4k 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.
Read from SKILL.md and the folder at commit 4eb71d9. It shows what the files ask for, not the result of running them.
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.
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.
Hosts in commands or code, which the agent is likely to contact:
api.elevenlabs.ioAlso links to:
fal.aiFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
FAL_KEYELEVENLABS_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Fal AI Media loads about 1.4k tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 153 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.
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.
The full file from affaan-m/ECC at commit 4eb71d9, republished under its MIT licence (© affaan-m). 153 words, ~1,418 tokens.
.claude/skills/fal-ai-media/SKILL.md (or your agent's skills folder).変化が早いスキル。 fal.aiのモデルID、価格、入力、MCPツール名は急速に変わります。特定のモデル、パラメーター、出力形式、またはコストを約束する前に、現在のモデルメタデータを検索または取得してください。
MCPを通じてfal.aiモデルを使用して画像、動画、音声を生成します。
fal.ai MCPサーバーを設定する必要があります。~/.claude.jsonに追加してください:
"fal-ai": {
"command": "npx",
"args": ["-y", "fal-ai-mcp-server"],
"env": { "FAL_KEY": "YOUR_FAL_KEY_HERE" }
}APIキーはfal.aiで取得してください。
fal.ai MCPは以下のツールを提供します:
search — キーワードで利用可能なモデルを検索find — モデルの詳細とパラメーターを取得generate — パラメーターでモデルを実行result — 非同期生成のステータスを確認status — ジョブステータスを確認cancel — 実行中のジョブをキャンセルestimate_cost — 生成コストを見積もるmodels — 人気モデルの一覧表示upload — 入力として使用するファイルをアップロードベストユースケース: クイックイテレーション、ドラフト、テキストから画像、画像編集。
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
}
)ベストユースケース: 本番画像、リアリズム、タイポグラフィ、詳細なプロンプト。
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
}
)| パラメーター | 型 | オプション | 備考 |
|---|---|---|---|
prompt | string | 必須 | 生成したいものを説明する |
image_size | string | square、portrait_4_3、landscape_16_9、portrait_16_9、landscape_4_3 | アスペクト比 |
num_images | number | 1-4 | 生成する数 |
seed | number | 任意の整数 | 再現性 |
guidance_scale | number | 1-20 | プロンプトへの追従度(高いほど文字通り) |
インペインティング、アウトペインティング、またはスタイル転送にNano Banana 2を入力画像と共に使用:
# まずソース画像をアップロード
upload(file_path: "/path/to/image.png")
# 次に画像入力で生成
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"
}
)ベストユースケース: テキストから動画、高モーション品質の画像から動画。
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
}
)ベストユースケース: ネイティブ音声生成付きのテキスト/画像から動画。
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"
}
)ベストユースケース: 生成された音声付き、高視覚品質の動画。
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"
}
)既存の画像から開始:
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"
}
)| パラメーター | 型 | オプション | 備考 |
|---|---|---|---|
prompt | string | 必須 | 動画を説明する |
duration | string | "5s"、"10s" | 動画の長さ |
aspect_ratio | string | "16:9"、"9:16"、"1:1" | フレーム比率 |
seed | number | 任意の整数 | 再現性 |
image_url | string | URL | 画像から動画用のソース画像 |
自然な会話品質のテキストから音声。
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
}
)動画コンテンツからマッチする音声を生成。
generate(
app_id: "fal-ai/thinksound",
input_data: {
"video_url": "<video_url>",
"prompt": "ambient forest sounds with birds chirping"
}
)プロフェッショナルな音声合成には、ElevenLabsを直接使用:
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が設定されている場合、その生成音声を使用:
# 音声生成
audio = coll.generate_voice(text="Your narration here", voice="alloy")
# 音楽生成
music = coll.generate_music(prompt="upbeat electronic background music", duration=30)
# 効果音
sfx = coll.generate_sound_effect(prompt="thunder crack followed by rain")生成前に見積もりコストを確認:
estimate_cost(
estimate_type: "unit_price",
endpoints: {
"fal-ai/nano-banana-pro": {
"unit_quantity": 1
}
}
)特定のタスクに対するモデルを検索:
search(query: "text to video")
find(endpoint_ids: ["fal-ai/seedance-1-0-pro"])
models()seedを使用するestimate_costを確認するvideodb — 動画処理、編集、ストリーミングvideo-editing — AI駆動の動画編集ワークフローcontent-engine — ソーシャルプラットフォーム向けコンテンツ作成© 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
Just SKILL.md in docs/ja-JP/skills/fal-ai-media of affaan-m/ECC.
Open the folder on GitHubat commit 4eb71d9
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 | 276k | — | ~1.4k | 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 |
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.
OSideMedia/higgsfield-ai-prompt-skill
A skill your agent uses when the user asks which model to use, wants to compare models, or needs guidance on selecting between Kling, Wan (incl.
liangdabiao/Seedance2-Storyboard-Generator
专业的Seedance 2.0平台AI视频脚本和分镜生成器。当用户要求:(1) 将文章/故事转换为视频脚本,(2) 生成Seedance 2.0分镜提示词,(3) 规划多集AI视频系列,(4) 为GPT-Image-2、Seedream、Nano Banana…
smixs/visual-skills
Image prompting skill for Nano Banana (NBP/NB2) and GPT Image 2.5 (Flare/Sunburst).
OSideMedia/higgsfield-ai-prompt-skill
A skill your agent uses whenever the user asks anything about Higgsfield AI — writing or refining video/image prompts, choosing a model (Kling, Veo, Wan, Seedance, Minimax Hailuo, DoP, Soul, Nano…
jieyefriic/nbcraft
Multi-backend Image + Video Generation CLI (nb command). An agent skill from jieyefriic/nbcraft.
affaan-m/ECC
Audits your installed Claude skills and commands for quality, with a quick mode for recently changed skills and a full mode that evaluates all of them through subagents.
affaan-m/ECC
Ingests, indexes, searches, edits and monitors video, audio and live streams through the VideoDB Python SDK, returning stream links, clips and timestamps.
affaan-m/ECC
Route broad documentation-governance requests to existing ECC skills and run an opt-in, read-only audit of mapped documentation roles, links, ADR indexes, and evidence references.
affaan-m/ECC
Scans installed skills for principles that recur across them and proposes rule-file changes: append, revise, add a section, create a file or leave as covered.
affaan-m/ECC
Builds DRAFT counterparty agreements from one markdown template and a small JSON spec per party, with clauses picked by the party's role.
affaan-m/ECC
Set an ECC-specific frontend design direction for production UI work.
Categories
fal.ai MCPによる統合メディア生成(画像、動画、音声)。テキストから画像(Nano Banana)、テキスト/画像から動画(Seedance、Kling、Veo 3)、テキストから音声(CSM-1B)、動画から音声(ThinkSound)をカバーします。ユーザーがAIで画像、動画、音声を生成したい場合に使用します。. Fal AI Media is an agent skill from affaan-m/ECC.
Fal AI Media fits situations like: tasks that involve AI video generation; tasks that involve Image generation.
Run `npx skills add affaan-m/ECC --skill fal-ai-media -a claude-code`. Or copy the skill folder (docs/ja-JP/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.
Run `npx skills add affaan-m/ECC --skill fal-ai-media -a codex`. Or copy the skill folder (docs/ja-JP/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.
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.
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.
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.
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.
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.
About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
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.
affaan-m (a GitHub user) maintains it in affaan-m/ECC, which has 276,111 GitHub stars. The repository holds 683 skills in this directory. The repository was last updated on October 10, 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.