by ScrapeCreators · Claude 技能 · ★ 2.2k
Social Media Research Skills for AI Agents Practical AI agent skills for social media research, powered by ScrapeCreators. These skills help agents find outlier posts, mine comments, summarize transcripts, tear down competitors, analyze ad libraries, and turn public social data into useful business artifacts. This is not just endpoint routing. The goal is to give your AI agent complete research workflows it can run across TikTok, Instagram, YouTube, Reddit, X/Twitter, LinkedIn, Facebook, Threads, Bluesky, Pinterest, Rumble, ad libraries, and more.
| Stars | 2,175 |
| Forks | 22 |
| Language | Python |
| Category | Claude 技能 |
| License | MIT |
| Quality Score | 70.4558215378731/100 |
| Open Issues | 3 |
| Last Updated | 2026-08-26 |
| Created | 2026-06-06 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~4k |
These tools work well together with social-media-research-skills for enhanced workflows:
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social-media-research-skills is 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 ScrapeCr. It is categorized as a Claude 技能 with 2.2k GitHub stars.
social-media-research-skills is primarily written in Python. It covers topics such as agent-skills, ai-agents, claude-code.
You can find installation instructions and usage details in the social-media-research-skills GitHub repository at github.com/ScrapeCreators/social-media-research-skills. The project has 2.2k stars and 22 forks, indicating an active community.
social-media-research-skills is released under the MIT license, making it free to use and modify according to the license terms.