Tiktok Ad Research
You need this when you're analyzing paid TikTok ads, not organic content. It pulls from Creative Center style datasets so you can spot winning hooks, objectives, regional patterns, and CTA formats without mixing in creator posts. The workflow is narrow by design: you scope by category or competitor, it returns top ads with optional metrics, then you separate observed facts from your own creative implications. Handiest for competitor research or turning a batch of high performers into a brief. If you catch yourself looking for organic trends or creator discovery, you want tiktok-research instead.
- skills.sh installs
- 499
- GitHub stars
- 27
- last updated
- Aug 21, 2026
Install
$ npx -y skills add postplusai/postplus-skills --skill tiktok-ad-research --agent claude-codeInstalls into .claude/skills of the current project.
Files
You need this when you're analyzing paid TikTok ads, not organic content. It pulls from Creative Center style datasets so you can spot winning hooks, objectives, regional patterns, and CTA formats without mixing in creator posts. The workflow is narrow by design: you scope by category or competitor, it returns top ads with optional metrics, then you separate observed facts from your own creative implications. Handiest for competitor research or turning a batch of high performers into a brief. If you catch yourself looking for organic trends or creator discovery, you want tiktok-research instead.
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- Repository
- github.com/postplusai/postplus-skills
- Categories
- Code Review & Quality, Data Science & ML, Marketing & SEO, Sales & Marketing
- First seen
- Jun 3, 2026
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