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varg-dropship-reel

Makes the 60-second faceless dropshipping "guide" reel end to end: a viral-looking product hook, a laptop on a zigzag tablecloth with a hand pointing a marker at the product cost, the store price and the demand chart, then each step (research tool → store → AI ad tool → Instagram → supplier ships), and a night-skyline ending shot on an iPhone with "Comment GUIDE". Script template, AI shots on varg (Seedance 2.5, GPT Image 2.5, Wan 3, ElevenLabs), word-by-word lime captions, the comment-to-DM funnel. Use when an e-commerce seller, dropshipper, affiliate of a product-research or AI-ad tool, or course creator asks for a product reel like @tradelle's, "a reel showing a product, its price in China and on Shopify", a "comment GUIDE" reel, a laptop-and-pen screen walkthrough, or one such reel per product every day. Not for the hook alone (use varg-product-hook), talking-head UGC ads, or screen recordings of software with a cursor (find those with video-skills).

plugins/vargHQ/skills/varg-dropship-reel/SKILL.md

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Nov 4, 2026

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Nov 6, 2026
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Apache-2.0

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# Dropshipping guide reel

One template, a new product every day. Built from four @tradelle reels (Sept-Oct 2026, 56-64 s, 1080×1920) that share the same skeleton and almost the same voiceover; only the product, the prices and the hook change.

| Beat | Time | Picture | How we make it |
|---|---|---|---|
| Hook | 0-13 s | The product in action: real-looking phone or security-cam footage | `varg-product-hook` (Seedance 2.5 from product photos) |
| Price math | 13-27 s | Laptop, hand with a marker points at **cost**, **sell price**, **demand chart** | Real screenshots on a green-screen desk photo → Kling 4 adds the hand (or film it) |
| Steps | 27-53 s | The same desk and the same app UI in every shot, the pen walks through each screen | Same, one shot per screen |
| CTA | 53-60 s | Night skyline through an apartment window, iPhone look | Wan 3 or Seedance 2.5 once, reuse forever |

Captions: 1-2 words at a time, bold uppercase, white with a black outline, prices and keywords in lime, at 60 % of the height. Voice: one flat, confident male narrator, about 2.6 words per second, no music or a very quiet bed.

Generation runs on varg: the `varg-ai` skill (REST at `https://api.varg.ai/v2`) or the varg MCP server (`https://mcp.varg.ai/mcp`: `call_tool`, `get_job`, `estimate_cost`, `create_upload`). Every call returns a job; poll `GET /v2/jobs/{id}` until `completed`, the file is at `output.outputs[0].url`. Image-to-video jobs took 5-10 minutes in our test; one text-to-video job waited about an hour in the queue. Start them all at once and do the next step while they run.