Generate 6-slide TikTok and Instagram carousels from a website URL.
npx skills add https://github.com/mutonby/viraloop --skill viraloop
Please help me install this Agent Skill. Skill: viraloop Source: https://github.com/mutonby/viraloop/tree/main Command: npx skills add https://github.com/mutonby/viraloop --skill viraloop
Viraloop removes the manual grind of researching a product and then repeatedly crafting, designing, and publishing TikTok/Instagram carousel content by turning a single website URL into a ready-to-post 6-slide sequence with an analytics-driven learning loop.
Example use case: Provide your SaaS landing page URL, generate a carousel structured around the website’s value proposition, publish it to both platforms, then use the collected analytics to determine which hook style and wording drives the most views.
Run the full pipeline by analyzing your website URL, generating the 6 carousel slides, publishing them to TikTok and Instagram via upload-post.com, and then learning from the returned analytics to improve next posts.
High-intent search queries and answers about installing and using this skill.
You can automate carousel generation by analyzing a website URL to extract brand and pricing signals, then converting that data into a 6-slide hook-to-CTA narrative. This process uses local Playwright research and AI image generation to create visually cohesive slides ready for publishing.
Yes, direct publishing to TikTok and Instagram is executed in one request via the Upload-Post API, including auto trending music on TikTok. The system then saves analytics locally to iteratively optimize future hooks based on which content drives the most views.
Visually coherent carousel slides are created using AI image-to-image generation. The system produces multiple hook variants and generates 6 slides with a consistent style, ensuring the carousel reads as one cohesive story aligned with the extracted brand cues.
Yes, local Playwright is required to perform website research and extract brand features. Additional dependencies include jq, uv, node, and curl to execute the full pipeline, generate images via the Gemini API, and handle the publishing workflow.
The best way to test marketing hooks is to generate multiple variants like shock, curiosity, and contradiction, publish them to TikTok and Instagram, and then use the collected analytics. A local learning loop saves these results to continuously improve future hook wording.
Limitations include relying on external APIs like Gemini for image generation and Upload-Post for publishing, meaning API rate limits or downtime can halt the workflow. Additionally, the system requires a local environment with Playwright and Node installed to function properly.
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