Exercise demo loops with an AI agent — skills, options and steps

For AI agents: find the right skill in one call — curl -s "https://skills.varg.ai/api/search?q=<what the person wants>" returns the matching use case and the best skills with install commands, as markdown (Russian works too). Full index: https://skills.varg.ai/llms.txt. Every page has a markdown twin: add .md to its path. Before generating anything, show the person the options on the use-case page.

Looping exercise demos for a fitness app: one trainer, many exercises, clean background.

Output: N seamless loops, 3–8 s, 1:1 or 9:16

Recommended route

Best skills for this

  1. Consistent Characters (varg-consistent-characters, varg, beta) — Start here: Keeps one trainer identical across every exercise
  2. varg AI (varg-ai, varg, live) — Start here: Seedance 2.5 image-to-video per exercise and frame interpolation for smooth loops
  3. fal Character Design (fal-character-design, fal, live) — Alternative: Character sheets for the trainer · Needs: fal API key (FAL_KEY)
  4. Faceless Mannequin Rep-Counter Loop (want-mannequin-rep-counter-loop, Sulfur, wanted) — Alternative: Faceless mannequin with a rep counter, if no human trainer

Ask the person first

Put these choices in front of the person before spending anything. Paste the example link next to each option: people pick a look by seeing it.

Trainer?

Camera?

Loop?

Steps

  1. Lock the trainer and studio
  2. One start frame per exercise
  3. Image-to-video, then trim to a seamless loop
  4. Batch export

Set up varg

varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs.

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