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.
# Add to your Claude Code skills
git clone https://github.com/ScrapeCreators/social-media-research-skillsGuides for using ai agents skills like social-media-research-skills.
Last scanned: 8/27/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-08-27T15:01:17.198Z",
"npmAuditRan": true,
"pipAuditRan": true,
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}See how social-media-research-skills compares with popular alternatives.
social-media-research-skills is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by ScrapeCreators. 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. It has 2,242 GitHub stars.
Yes. social-media-research-skills passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/ScrapeCreators/social-media-research-skills" and add it to your Claude Code skills directory (see the Installation section above).
social-media-research-skills is primarily written in Python. It is open-source under ScrapeCreators on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh social-media-research-skills against similar tools.
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Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
social-media-research-skills vs everything claude code
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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.
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.
Set your ScrapeCreators API key:
export SCRAPECREATORS_API_KEY=sk_...
Get a key at scrapecreators.com.
| 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 right ScrapeCreators endpoint | API calls, endpoint references, pagination guidance |
Find the outlier posts for @starterstory on YouTube Shorts from the latest page of videos.
Analyze the transcripts from these 12 TikToks and pull out the best hooks, claims, and reusable content angles.
Mine the comments on this viral Instagram Reel. I want objections, questions, buying intent, and exact audience language.
Compare these five brands on TikTok and Instagram. What formats and topics are working for each one?
Tear down the active Facebook, Google, and LinkedIn ads for this competitor. Give me hooks, offers, CTAs, and what to test.
scrapecreators-api
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▼
social research workflows
├─ outlier-post-finder
├─ transcript-intelligence
├─ comment-mining
├─ competitor-social-research
├─ ad-library-teardown
├─ trend-discovery
├─ influencer-prospecting
├─ audience-research
├─ social-listening-brief
├─ product-demand-research
├─ creator-profile-teardown
└─ content-repurposing
The workflow skills should use scrapecreators-api as the data layer when they need endpoint details. Each workflow produces a useful artifact, not just raw JSON.