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Social Media Research Skills

AI agent skills for social media research. Outlier posts, comment mining, competitor teardowns, ad libraries & trends across TikTok, Instagram, YouTube, Reddit, X, LinkedIn &…

Install: npx skills add ScrapeCreators/social-media-research-skills

Works with Claude Code, Codex, Cursor, Gemini CLI · 3,926 GitHub stars

Install

$npx skills add ScrapeCreators/social-media-research-skills

Install command taken from the project's README or registry entry. Always review code before running it.

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.

Install

npx skills add ScrapeCreators/social-media-research-skills

Works with Claude Code, Cursor, OpenAI Codex, GitHub Copilot, Gemini CLI, Windsurf, VS Code, and other agents that support the Agent Skills spec.

Setup

Set your ScrapeCreators API key:

export SCRAPECREATORS_API_KEY=sk_...

Get a key at scrapecreators.com.

Available Skills

Skill Use it when you want to... Output
outlier-post-finder Find posts, reels, shorts, tweets, or videos that beat a creator's baseline Outlier table, repeatable patterns, hooks to steal
transcript-intelligence Analyze video transcripts from TikTok, Instagram, YouTube, Facebook, X, LinkedIn, Rumble, or Reddit Summary, hooks, claims, quotes, content atoms
comment-mining Mine comments for questions, objections, pain points, product ideas, and audience language VOC report, themes, quotes, content ideas
competitor-social-research Compare competitors' social strategy and find what is working Competitor brief, content pillars, gaps, recommendations
ad-library-teardown Analyze active Meta, Google, and LinkedIn ads Messaging angles, hooks, CTAs, offers, test ideas
trend-discovery Find trending topics, hashtags, sounds, posts, and short-form formats in a niche Trend brief, evidence table, suggested content angles
influencer-prospecting Build creator or influencer prospect lists from public social data Prospect CSV/table, fit score, outreach notes
audience-research Evaluate creator or brand audience fit from public profile and demographic signals Audience-fit report, market/country notes, confidence labels
social-listening-brief Research what people are saying about a brand, topic, product category, or niche Multi-source brief, themes, cited examples, sentiment caveats
product-demand-research Validate product ideas and find pain points from social posts, comments, and Reddit Demand signals, pains, objections, exact language, ideas
creator-profile-teardown Analyze why a creator or brand account works and what to copy Positioning teardown, content pillars, outliers, playbook
content-repurposing Turn social videos, transcripts, and posts into reusable content assets LinkedIn posts, X threads, scripts, newsletter/blog ideas
scrapecreators-api Route a raw scraping/fetching request to the rig

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