If you need to pull TikTok metadata, creator profiles, comments, or trending content for organic research, this is your starting point. It leans hard on keeping first-pass queries narrow (3-5 queries, 5-12 results per hashtag) before you expand, which saves you from burning quota on noise. The creator discovery flow is smart: scrape videos first, extract author handles, then enrich profiles rather than running blind account searches. It routes through PostPlus Cloud collection keys and knows when to hand off to paid ad research or video analysis skills. The cost discipline rules are unusually explicit, which matters if you're running this repeatedly.

skills.sh installs
1.1K
GitHub stars
27
last updated
Aug 21, 2026

Install

$ npx -y skills add postplusai/postplus-skills --skill tiktok-research --agent claude-code

Installs into .claude/skills of the current project.

Files

TikTok Research

Research public TikTok evidence for the user's marketing decision. A product, category, problem, competitor, account, or content URL is enough to start. Use the task reference below and shared contract for research completion, reporting, and downstream handoffs.

Reference Index

Sponsors

Details

Repository
github.com/postplusai/postplus-skills
Categories
Data Science & ML, Marketing & SEO
First seen
Jun 3, 2026

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