#580 · Primary category: AI Agents & Automation

social-media-research-skills

agent-skills ai-agents claude-code claude-skills competitor-analysis content-marketing cursor influencer-marketing market-research social-media social-media-research workflow-automation

AI agent skills for social media research. Outlier posts, comment mining, competitor teardowns, ad libraries & trends across TikTok, Instagram, YouTube, Reddit, X, LinkedIn & more. Powered by ScrapeCreators. Works with Claude Code, Cursor, Codex, Gemini CLI.

Project last updated:08/26/26

GitHub Stars

1.9K

Forks

17

Contributors

2

License

MIT

Why we included this project

If you run coding agents in Claude Code, Cursor, or Codex and want them to do actual social media research, this is a practical place to start. Rather than wiring up scraping endpoints yourself, you install a set of ready-made agent skills, each covering one complete workflow: finding posts that beat a creator's baseline, mining comments for objections and product ideas, tearing down competitor ad libraries, spotting trends, and building influencer prospect lists. Every skill returns a structured artifact like a table, brief, or report, so you get usable output instead of raw data. It spans TikTok, Instagram, YouTube, Reddit, X, LinkedIn, and Facebook, and runs in the major agent environments that support the Agent Skills spec. One caveat: it needs a ScrapeCreators API key, so it is a workflow layer on top of a paid data service rather than a self-contained tool.

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