# Remix From Library

> Find an existing asset in the user's Tolstoy library and generate new on-brand variations of it. Use when the user says "make more like my best one", "clone this ad", "give me variations of that video", "remix my <asset>", or wants new creative based on something they already have in Tolstoy. Chains the Tolstoy Library MCP (find) with Tolstoy Studio (generate).

- Skill: `gotolstoy/remix-from-library` (Agent Skill)
- Install (CLI): `npx skillmds@latest add gotolstoy/remix-from-library`
- Raw SKILL.md: https://api.skillmd.com/api/skills/gotolstoy/remix-from-library/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: GoTolstoy (https://skillmd.com/u/gotolstoy)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/gotolstoy/remix-from-library

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# Remix from library

Take something the user already has in their Tolstoy library and spin new variations — using the original as a visual reference so the new creative stays on-brand.

## The workflow

1. **Find the source asset.**
   - Named or described → `search_assets` with that query.
   - "My recent / latest" → `list_assets`.
   - "My favorites / starred" → `list_assets` with `favoritedOnly: true`.
   - **Be honest:** the Library MCP does NOT expose performance metrics — you cannot know which asset is actually "best-performing." If the user says "my best ad," surface the most likely candidates (favorited / recent / matching their description) and **confirm which one** before remixing. Don't guess silently.

2. **Get the reference image URL.** The reference must be an image:
   - Image asset → its `mediaUrl`.
   - Video asset → its `thumbnailUrl`.
   Call `get_asset` for full detail if the search/list result is thin.

3. **Generate variations.** Call `generate_studio_content` with that URL in `referenceImageUrls`, `assetType` for what they want (`image` or `video`), an `aspectRatio` for the destination, and a prompt describing the variation intent (e.g. "3 variations with different backgrounds, same product and brand feel"). Reference-to-output keeps the product/identity while letting composition vary.

4. **Iterate** with `iterate_studio_content` (same `chatId`) for refinements.

## Example

> "Clone my best serum ad and give me 3 fresh versions"
> 1. `list_assets` `{ favoritedOnly: true }` (or `search_assets "serum ad"`) → show candidates, confirm which one.
> 2. Take the chosen asset's `thumbnailUrl` (video) or `mediaUrl` (image).
> 3. `generate_studio_content` `{ assetType: "video", aspectRatio: "9:16", prompt: "3 fresh variations of this serum ad — new hooks and backgrounds, same product and brand feel", referenceImageUrls: ["<asset url>"] }`

## Notes
- `referenceImageUrls` must be public HTTPS image URLs (library CDN URLs qualify).
- This **creates new** content; it does not modify or replace the original asset.