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-skillsInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →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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