This repo packages social media research workflows as agent skills powered by ScrapeCreators. The skills cover outlier posts, transcript analysis, comment mining, competitor teardowns, ad library analysis, trend discovery, prospecting, audience research, listening briefs, demand research, creator teardowns, and content repurposing.
Builders who use agent tools to research social platforms and synthesize public data into business outputs.
You can ask your agent for a research outcome instead of a raw scrape, and get a brief, table, or content artifact back.
Finds posts, reels, shorts, tweets, or videos that beat a creator’s baseline and returns an outlier table with repeatable patterns.
Analyzes video transcripts and extracts summaries, hooks, claims, quotes, and reusable content atoms.
Pulls questions, objections, pain points, product ideas, and audience language from comments.
Compares competitors’ social strategy and surfaces working formats, content pillars, gaps, and recommendations.
Reviews active Meta, Google, and LinkedIn ads and turns them into hooks, CTAs, offers, and test ideas.
Finds trending topics, hashtags, sounds, posts, and short-form formats in a niche with evidence and content angles.
Builds creator or influencer prospect lists from public social data with fit notes.
Evaluates creator or brand audience fit using public profile and demographic signals.
npx skills add ScrapeCreators/social-media-research-skills
export SCRAPECREATORS_API_KEY=sk_...
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
│
▼
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.
Sign in to join the discussion.
No comments yet. Be the first to say what this is good for.
Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local deterministic AST parsing, every edge explained, no vector store.
Open-source AI job search: scan job portals, evaluate listings into a structured A-H report with a global 1-5 score, tailor your CV, track applications — runs locally in your AI coding CLI (Claude Code, Codex, OpenCode, Antigravity…)
AI agent skill that researches any topic across Reddit, X, YouTube, HN, Polymarket, and the web - then synthesizes a grounded summary
Academic Research Skills for Claude Code: research → write → review → revise → finalize
AI video skill for Claude Code & Codex — cinematic product videos with Remotion: 152 shot recipe cards, 209 motion previews, a production-ready template
817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io standard · Works with Claude Code, GitHub Copilot, Codex CLI, Cursor, Gemini CLI & 20+ platforms · 29 security domains · Apache 2.0