Skill 详情
generate-youtube-thumbnail
通过Arcads API使用Nano Banana 2生成高点击率的YouTube缩略图,处理参考图上传、人像对齐和批量生成。
使用前先检查
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SKILL.md
这段内容是审核时保存的快照。外部来源才是完整且最新的版本。
--- name: generate-youtube-thumbnail description: >- Generate high-CTR YouTube thumbnails using Nano Banana 2 via the Arcads external API. Handles reference image upload, character likeness alignment, proven CTR-tested prompt formulas, and parallel batch generation. Use when the user asks to create a YouTube thumbnail, video thumbnail, A/B test thumbnail variations, or refers to thumbnail design with their face, brand assets, or product photos. --- # Generate YouTube Thumbnail A reusable workflow for creating YouTube thumbnails via Arcads' Nano Banana 2 image endpoint with proper character likeness and proven CTR formulas. ## When to use this skill Trigger on phrases like: - "make me a YouTube thumbnail" - "create a thumbnail for this video" - "I need thumbnail variations / A/B tests" - "remake this thumbnail with my face" - "generate 10 thumbnail concepts" - "thumbnail with [me / my product / my brand]" ## Read order 1. **This file** — workflow, decision tree, batch generation 2. **[shared/skills/generate-youtube-thumbnail/prompting/guide.md](../../shared/skills/generate-youtube-thumbnail/prompting/guide.md)** — likeness alignment, expressions cheat sheet, prompt structure (shared across all generative-AI APIs in this portfolio) 3. **[shared/skills/generate-youtube-thumbnail/prompting/formulas.md](../../shared/skills/generate-youtube-thumbnail/prompting/formulas.md)** — 5 proven thumbnail formulas with templates (shared) 4. **[scripts/generate-batch.sh](scripts/generate-batch.sh)** — Arcads-specific batch script (presigned upload + S3 PUT pipeline) ## Prerequisites - `.env` with `ARCADS_BASIC_AUTH` and `ARCADS_API_KEY` - A `productId` (defaults to MASTER_CONTEXT.md's "My workspace" product) - Reference images on disk (NOT pasted in chat — chat-pasted images are NOT accessible to the API): - `face/` — 5+ photos of the subject (headshot + 3/4 angles + close-ups + expressions) - `logos/` — brand logos as files (orange Claude Code starburst, black Arcads A, etc.) - `products/` — clean product shots - `examples/` — real ad screenshots, comparison material - `style/` — example thumbnails the user wants to match aesthetically If references are missing or the user pastes images in chat instead of saving them, **stop and ask the user to drop the actual files into a project folder** (e.g. `references/youtube thumbnail/`). Chat paste ≠ file on disk. ## Workflow ### 1. Gather requirements (in order) Ask the user for any missing context, but only what you actually need: 1. **Concept** — what's the video about? Single concept, A/B variations, or specific recreation of an existing thumbnail style? 2. **Subject** — who is in the thumbnail (the user themselves, an AI character, no person)? 3. **Brand assets** — which logos / products / brand colors should appear? 4. **Text** — what should the title text say? Will text be baked in, or added in post (Canva/Photoshop)? 5. **Comparison material** — for "real vs AI" thumbnails, what real ad and what AI-generated ad? ### 2. Verify references exist on disk ```bash ls "references/youtube thumbnail/" ``` If references are missing, ask the user to drop them. **Do not proceed with text-only descriptions for brand-specific items** (logos, branded products, branded apparel) — you'll get generic AI approximations that don't match the brand. Generic descriptions are OK for backgrounds, expressions, and clothing. ### 3. Estimate cost and confirm Always present cost as an **estimate** before firing: > "Estimated cost: N variations × 24 credits = X credits. Tell me if you want to confirm exact pricing in the Arcads platform first." ### 4. Pick a formula See **[shared/skills/generate-youtube-thumbnail/prompting/formulas.md](../../shared/skills/generate-youtube-thumbnail/prompting/formulas.md)** for the 5 proven formulas. Match the user's intent: | User says... | Use formula | |---|---| | "Just me with my brand" / "branding thumbnail" | **Peace-sign / branding** | | "Real vs AI"在 GitHub 阅读完整来源 (打开外部页面)