remix-from-librarylisted

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).
GoTolstoy/agent-skills · ★ 0 · AI & Automation · score 72

Install: claude install-skill GoTolstoy/agent-skills

# 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` `{