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social-media-research-skills

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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.

Skills4.4k stars85 forks● PythonMITUpdated 1mo ago
ClaudeWave Trust Score
82/100
✓ Trusted
Passed
  • ✓Open-source license (MIT)
  • ✓Recently active
  • ✓Clear description
  • ✓Topics declared
Last scanned: 10/21/2026
Install as a Claude Code skill
Method: Clone
Terminal
git clone https://github.com/ScrapeCreators/social-media-research-skills ~/.claude/skills/social-media-research-skills
1. Clone the repository into your ~/.claude/skills directory (or copy the skill folder containing SKILL.md).
2. Start a new Claude Code session so the skill registry reloads.
3. Invoke it by name, or let Claude trigger it automatically when the task matches.
💡 If the repo bundles several skills, copy only the folders you need.

13 items in this repository

Use when the user wants to analyze active ads from Meta/Facebook, Google, or LinkedIn ad libraries; tear down a competitor's messaging; extract hooks, offers, CTAs, video transcripts, landing page claims, and test ideas from public ads.

Install

Use when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments, geography, language, and content fit. Helps judge sponsorship and market fit.

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Use when the user wants to mine comments and replies for audience reactions, customer language, questions, objections, complaints, product ideas, buying intent, sentiment, or voice-of-customer insights from public social posts and videos.

Install

Use when the user wants to research competitors' social media strategy, compare brands or creators, find what content is working in a niche, identify content gaps, or produce a practical social strategy brief from public social data.

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Use when the user wants to turn public social videos, transcripts, posts, or creator research into reusable content assets such as LinkedIn posts, X threads, short-form scripts, newsletters, blog outlines, carousels, or content calendars.

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Use when the user wants to analyze a creator, influencer, founder, or brand social account and understand positioning, content pillars, outlier posts, hooks, format choices, audience reaction, and what can be copied or tested.

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Use when the user wants to find creators, influencers, affiliates, or social accounts in a niche for outreach, partnerships, sponsorships, UGC, seeding, or competitive research. Produces scored prospect lists from public social data.

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Use when the user wants to find posts, videos, reels, shorts, tweets, or social content that overperformed versus a creator, brand, or competitor baseline. Finds outliers, explains why they worked, extracts hooks and formats, and produces a practical swipe file.

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Use when the user wants to validate a product idea, find pain points, mine demand signals, discover objections, or gather voice-of-customer language from Reddit, social posts, video transcripts, and comments. Produces evidence-backed product research.

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Use when the user wants a social listening report about what people are saying about a brand, person, product, topic, category, or niche across public social platforms. Produces cited themes, sentiment caveats, notable posts, and recommended actions.

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Use when the user wants to summarize, analyze, or repurpose transcripts from TikTok, Instagram, YouTube, Facebook, X/Twitter, LinkedIn, Rumble, or Reddit video posts. Extracts hooks, claims, quotes, content atoms, themes, and reusable scripts.

Install

Use when the user wants to discover trending social topics, hashtags, sounds, posts, reels, shorts, creators, or formats in a niche. Searches public trend and discovery endpoints, ranks evidence, and turns trends into practical content angles.

Install
Use cases

Skills overview

README preview not available. Visit the repo on GitHub for full documentation.
agent-skillsai-agentsclaude-codeclaude-skillscompetitor-analysiscontent-marketingcursorinfluencer-marketingmarket-researchsocial-mediasocial-media-researchworkflow-automation

What people ask about social-media-research-skills

What is ScrapeCreators/social-media-research-skills?

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ScrapeCreators/social-media-research-skills is skills for the Claude AI ecosystem. 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 4.4k GitHub stars and its last recorded update is dated 2026-08-26.

How do I install social-media-research-skills?

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You can install social-media-research-skills by cloning the repository (https://github.com/ScrapeCreators/social-media-research-skills) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is ScrapeCreators/social-media-research-skills safe to use?

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Our security agent has analyzed ScrapeCreators/social-media-research-skills and assigned a Trust Score of 82/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.

Who maintains ScrapeCreators/social-media-research-skills?

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ScrapeCreators/social-media-research-skills is maintained by ScrapeCreators. The last recorded GitHub activity is dated 2026-08-26, with 7 open issues.

Are there alternatives to social-media-research-skills?

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Yes. On ClaudeWave you can browse similar skills at /categories/skills, sorted by popularity or recent activity.

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Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.

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