social-media-research-skills

Ochiq manbalardan

Ijtimoiy tarmoqlarni tadqiq qilish uchun sun'iy intellekt agentining koʻnikmalari: ajralib turuvchi postlar, izohlarni tahlil qilish, raqobatchilarni tahlil qilish, reklama kutubxonalari va trendlar TikTok, Instagram, YouTube, Reddit, X, LinkedIn va boshqalarda. ScrapeCreators asosida. Claude Code, Cursor, Codex, Gemini CLI bilan ishlaydi.

Mashina tarjimasi · Asl matnni koʻrsatish

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.

AI skillKategoriya: AI koʻnikmalari · Maʼlumotlar va tahlil · Marketing va SEO · Fan va tadqiqotOpen sourcemaʼlumot tekshirilgan: 15-okt, 2026

Solishtirish Toʻplamga

Sharh

agent-skills
ai-agents
claude-code
claude-skills
competitor-analysis
content-marketing
cursor
influencer-marketing
market-research
social-media

Oʻrnatish

Buyruqlar faqat koʻrsatiladi, marketpleys ularni bajarmaydi. Rasmiy hujjatlar bilan solishtiring.

Rasmiy saytOchiq manbalardankatalog metamaʼlumotlaridan
scrapecreators.com/ ↗
Manbadan yigʻishOchiq manbalardankatalog metamaʼlumotlaridan
Manbadan yigʻish: tekshirilgan yigʻish retsepti yoʻq — repozitoriy koʻrsatmalariga amal qiling.
github.com/ScrapeCreators/social-media-research-skills ↗

Moslik

«Nomaʼlum» dalil topilmaganini bildiradi, mahsulot mos emasligini emas.

Platforma	Holat	Arxitektura	Dalil	Ishonchlilik
Claude Code	Nomaʼlum	—	—	—
Claude (web & desktop)	Nomaʼlum	—	—	—
OpenAI Codex	Nomaʼlum	—	—	—
ChatGPT	Nomaʼlum	—	—	—
Cursor	Nomaʼlum	—	—	—
GitHub Copilot	Nomaʼlum	—	—	—
Gemini CLI	Nomaʼlum	—	—	—

Relizlar

tekshirilgan: 29-okt, 2026

Manbada relizlar topilmadi.

Sifat profili

algoritm quality-v1.0 · baholangan 15-okt, 2026

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README 5711 chars, description present

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Manbalar

github.com/ScrapeCreators/social-media-research-skillsAsosiy★ 3 753 yulduzfaollik: 26-avg, 2026Asosiy repozitoriy · Ishonchlilik 1.00

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linkedin-skillsOʻxshash

LinkedIn uchun Claude koʻnikmalari. Claude Code va Codex uchun 12 ta koʻnikma: inson uslubida LinkedIn postlari yozadi, e'tiborga tushadigan izohlar tuzadi, lentangizni tahlil qiladi va nashr jadvalini tuzadi — barchasi terminaldan. Creative Content Crafts tomonidan kontent-injiniring. MIT.MIT · AI koʻnikmalari

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README

ScrapeCreators/social-media-research-skills dan · litsenziya MIT · yuklangan 29-okt, 2026

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 right ScrapeCreators endpoint	API calls, endpoint references, pagination guidance

Example Prompts

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.

How the Skills Work Together

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.

Design Principles

Workflow-first, API-second — users ask for a business outcome, not an endpoint.
Public-data only — ScrapeCreators extracts public social data. Do not promise logged-in/private data.
Cited outputs — include source URLs for posts, videos, ads, and comments whenever possible.
Baseline-aware analysis — judge performance against a creator's own normal performance, not only raw vanity metrics.
Exact language matters — preserve useful comments, hooks, captions, and transcript quotes verbatim.
Keep outputs actionable — end with patterns, recommendations, test ideas, or a CSV when useful.

Links

Repozitoriyni ochish ↗