Pull raw performance signal from TikTok, Instagram, and YouTube using your saved Virlo comet. Fetch top videos, creator outliers, and ads for a niche. Use when: user asks what is performing, wants top videos, wants breakout creators, wants creator outliers, wants raw Virlo data, wants ads, needs a comet set up, or needs performance intelligence before synthesis. Do NOT use this as the final briefing layer — use content-radar when the goal is to combine performance with discussion signal and decide what matters.
How to install virlo?
themattberman/openclaw-100k-posts-kit/virlo
$npx -y skills add themattberman/openclaw-100k-posts-kit --skill virloInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/themattberman/openclaw-100k-posts-kit" --skill "themattberman/openclaw-100k-posts-kit/virlo"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/themattberman/openclaw-100k-posts-kit" that are relevant to the current task. Run `npx skills add "https://github.com/themattberman/openclaw-100k-posts-kit"` and select the relevant skills, then follow their instructions.
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