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Ultimate-AI-Media-Generator-Skill

作者 ZeroLu · ZeroLu/Ultimate-AI-Media-Generator-Skill

Open-source image + video generation skill routing Nano Banana 2/Pro, Sora 2, Seedance, Kling, and Veo through the CyberBara API — credit preview before every call.

Lets AI agents generate images and videos without prompt-engineering expertise. Routes through CyberBara API to Nano Banana 2/Pro for images and Sora 2 / Seedance / Kling / Veo for video. Built-in prompt optimization, workflow templates (presentation / SEO content / comic), and — critically — credit visibility before submission so you can decline expensive runs. MIT licensed. Works with Claude Code, Codex, OpenClaw, Cursor, Antigravity.

为什么要用

核心特性

实时演示

实际使用效果

ultimate-ai-media-generator-skill.replay ▶ 就绪
0/0

安装

作者仓库 · Claude Skills 官方文档

使用场景

实战用法: Ultimate-AI-Media-Generator-Skill

Generate hero + inline images for a blog post

👤 Content teams needing visuals without a designer in the loop ⏱ ~15 min beginner

何时使用: Publishing a post and don't want stock photos.

步骤
  1. Describe the post
    Post topic: 'retrieval-augmented generation for small teams'. Generate a hero and 3 inline images with consistent style.✓ 已复制
    → Skill proposes model (Nano Banana Pro), shows credit preview
  2. Approve or adjust
    Approve cost — generate.✓ 已复制
    → 4 images produced

结果: Ship-ready images with cost known upfront.

注意事项
  • Inconsistent style across 4 images — Supply a style reference image; the skill supports img2img seeding

Generate product shot variants for an e-commerce listing

👤 E-commerce teams ⏱ ~30 min beginner

何时使用: One hero shot; you need variants for A/B testing or different backgrounds.

步骤
  1. Provide source shot
    Here's product.png. Generate 5 variants: white bg, lifestyle, dark mood, in-hand, flat lay.✓ 已复制
    → Variants proposed with credit total
  2. Iterate
    Keep variants 1 and 3; regenerate 2, 4, 5 with tighter framing.✓ 已复制
    → Incremental iteration

结果: Listing-ready variants.

搭配使用: bria-skill

Produce a short promo video from a storyboard

👤 Marketers needing <30s promos ⏱ ~45 min intermediate

何时使用: Quick promo for a social post.

步骤
  1. Write storyboard
    Storyboard: 3 shots, 5s each, 'productivity app saves team time'. Pick a model.✓ 已复制
    → Skill picks Sora 2 or Kling based on style + credit preview
  2. Generate and review
    Approve — generate.✓ 已复制
    → MP4 output

结果: A short video ready for social.

注意事项
  • Running a 30s video at the highest model quality without checking cost — Always read the credit preview — video is the biggest spend

组合

与其他 MCP 搭配,撬动十倍杠杆

ultimate-ai-media-generator-skill + bria-skill

Generate with one provider, refine with Bria's editing primitives

Generate with Nano Banana; then background-remove with bria-skill.✓ 已复制
ultimate-ai-media-generator-skill + wechat-article-publisher-skill

Images feed directly into WeChat drafts

After generation, publish the post to WeChat with the new hero image.✓ 已复制

工具

此 MCP 暴露的能力

工具输入参数何时调用成本
image_generate prompt, model?, style_ref? Any still image CyberBara credits
image_edit source image, edit prompt Variants / tweaks CyberBara credits
video_generate storyboard, model? Short videos CyberBara credits (significant)
credit_preview request Always — before submit 0

成本与限制

运行它的成本

API 配额
CyberBara per-call credits
每次调用 Token 数
Low orchestration; provider cost dominates
费用
Typically cheaper than direct model APIs; still not free
提示
Always eyeball credit_preview — video calls can be 10–100x image calls

安全

权限、密钥、影响范围

凭据存储: CYBERBARA_API_KEY in env
数据出站: Prompts + reference images go to CyberBara + downstream model providers

故障排查

常见错误与修复

401 invalid API key

Re-check CYBERBARA_API_KEY

验证: curl -H 'Authorization: Bearer $CYBERBARA_API_KEY' https://api.cyberbara.ai/v1/credits
Credit preview doesn't show

Update skill — credit_preview is a recent addition

Generation looks nothing like the prompt

Use the prompt-optimization helper; supply a style reference

替代方案

Ultimate-AI-Media-Generator-Skill 对比其他方案

替代方案何时用它替代权衡
bria-skillYou need commercial-safe image editing primitives more than multi-model generationFewer generation providers

更多

资源

📖 阅读 GitHub 上的官方 README

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