菜单
Generate images and videos via Fal.ai API. Use when generating AI images (FLUX, nano-banana-2), AI videos (Veo 3.1), or any Fal.ai model. Supports queue-based async generation with polling, reference image editing, and file download. Also use when the content pipeline needs direct image/video generation bypassing Dropspace rate limits.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Content clipping engine — process videos and images from Google Drive into short-form content. Video clips via audio peak detection + FFmpeg. Image slideshows via Drive folder selection + canvas overlays. Use when user asks to clip videos, create slideshows from photos, process footage, or create short-form content from existing media.
Self-improving content pipeline for Dropspace. Analyzes post performance, generates new content across 6 platforms, schedules publishing, and compounds strategy over time. Run nightly for best results. Use when asked to run the content engine, generate social posts, or manage the content pipeline.
Extract short clips from DJ set recordings and schedule to TikTok/Instagram via Dropspace. Uses ffmpeg for audio analysis and video cropping. Use when asked to clip DJ sets, extract video highlights, or create short-form music content.
Turn event photos from Google Drive into TikTok/Instagram slideshows via Dropspace. Face-aware text positioning, community voice captions. Use when asked to create slideshows from event photos or manage photo-based social content.
Create and publish social media launches via the Dropspace API. Use when user wants to post to social media, create launches, manage personas, track post analytics, schedule content, or anything Dropspace-related. Supports 10 platforms (Twitter, LinkedIn, Reddit, Instagram, TikTok, Facebook, YouTube, Substack, Product Hunt, Hacker News) with per-post analytics and AI content generation.
Self-improving autonomous content pipeline. Analyzes post performance across 6 platforms, generates new content with AI (slideshows, tweets, linkedin posts, reddit threads), schedules via Dropspace API. Gets smarter every night — each cycle learns from real engagement data. Use when asked to set up autonomous content posting, run the content engine, or manage multi-platform social media automation.
| name | fal |
| description | Generate images and videos via Fal.ai API. Use when generating AI images (FLUX, nano-banana-2), AI videos (Veo 3.1), or any Fal.ai model. Supports queue-based async generation with polling, reference image editing, and file download. Also use when the content pipeline needs direct image/video generation bypassing Dropspace rate limits. |
Generate images and videos directly via Fal.ai Queue API. Zero dependencies (Node.js only).
export FAL_KEY="your-fal-api-key"
export FAL_KEY="your-fal-api-key"
All generation via scripts/fal-generate.js (relative to this skill directory).
node ~/.openclaw/skills/fal/scripts/fal-generate.js image \
--prompt "founder working at desk, cinematic lighting" \
--aspect 9:16 \
--out /tmp/slide.png
Options:
--prompt (required): Image description--aspect: Ratio (default 9:16). Options: 1:1, 16:9, 9:16, 4:3, 3:4, 5:4, 4:5--model: Fal model ID (default fal-ai/nano-banana-2). Other: fal-ai/flux/dev, fal-ai/flux/schnell, fal-ai/flux-pro/v1.1-ultra--reference-image: URL of reference image (auto-uses /edit endpoint for style guidance)--out: Download result to path--no-wait: Return request_id immediately without polling--timeout: Poll timeout in ms (default 120000)node ~/.openclaw/skills/fal/scripts/fal-generate.js video \
--prompt "young founder picks up phone, looks surprised at screen" \
--aspect 9:16 \
--duration 8 \
--out /tmp/clip.mp4
Options:
--prompt (required): Video description--aspect: 9:16 (default) or 16:9--duration: 4, 6, or 8 seconds (default 8)--model: Fal model ID (default fal-ai/veo3.1)--out: Download result to path--no-wait: Return request_id immediately--timeout: Poll timeout in ms (default 300000)Note: Duration must be integer (not string). Sora 2 supports 4, 8, or 12 seconds only.
# Check if a job is done
node ~/.openclaw/skills/fal/scripts/fal-generate.js status \
--model fal-ai/nano-banana-2 --request-id <id>
# Fetch completed result (+ optional download)
node ~/.openclaw/skills/fal/scripts/fal-generate.js result \
--model fal-ai/nano-banana-2 --request-id <id> --out /tmp/img.png
JSON to stdout. Images:
{"request_id":"...","model":"fal-ai/nano-banana-2","images":[{"url":"https://...","width":768,"height":1344}],"seed":123}
Videos:
{"request_id":"...","model":"fal-ai/veo3.1","video":{"url":"https://...","duration":8}}
| Model | Type | Cost | Notes |
|---|---|---|---|
fal-ai/nano-banana-2 | Image | ~$0.08 | Default. Same model Dropspace uses. |
fal-ai/nano-banana-2/edit | Image | ~$0.08 | Reference image guidance (auto-selected with --reference-image) |
fal-ai/flux/schnell | Image | ~$0.003 | Fast, lower quality |
fal-ai/flux/dev | Image | ~$0.025 | Good balance |
fal-ai/flux-pro/v1.1-ultra | Image | ~$0.05 | Up to 2K, best realism |
fal-ai/veo3.1 | Video | ~$0.15/sec | Veo 3.1. 4-8s clips with audio. |
To bypass Dropspace's 5/min rate limit, generate images directly then attach to launches:
fal-generate.js image --prompt "..." --out /tmp/slide1.png/media/generate call needed)This avoids checkMediaGenerateLimit entirely since you're uploading finished images, not requesting generation through the Dropspace API.