ScrapeCreators

    ScrapeCreators/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 & more. Powered by ScrapeCreators. Works with Claude Code, Cursor, Codex, Gemini CLI.

    ai-agents
    agent-skills
    claude-code
    claude-skills
    competitor-analysis
    content-marketing
    Python
    MIT
    5.1K stars
    103 forks
    5.1K GitHub watchers
    Updated Oct 31, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

    Explore Backblaze Labs

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    The project lists 2 contributors on GitHub.

    Use Cases & Benefits

    • Provides AI agent skills to automate comprehensive social media research workflows across multiple platforms using public data.
    • Enables actionable business insights by combining multi-platform data extraction with baseline-aware analysis and exact language preservation.
    • Use for identifying outlier posts and repeatable content patterns to optimize social media engagement strategies.
    • Use for competitor analysis by comparing social strategies and ad libraries to uncover effective messaging and content gaps.
    • Use for mining comments and transcripts to extract audience pain points, objections, and content ideas for targeted marketing.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present

    Watch-outs

    • No GitHub releases; pin a commit or tag instead of a release.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    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.

    Works with Claude Code, Cursor, OpenAI Codex, GitHub Copilot, Gemini CLI, Windsurf, VS Code, and other agents that support the Agent Skills spec.

    Get a key at scrapecreators.com.

    Excerpt from the ScrapeCreators/social-media-research-skills README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    103+20

    Open issues

    8+3

    Compared with peers in AI Agents

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

    ScrapeCreators/social-media-research-skills compared with AI Agents repositories by stars, 7-day star growth, health score and last release
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    HKUDS/DeepTutor55.5K+5.5K655 days ago
    ScrapeCreators/social-media-research-skills5.1K—6—
    Category median55.5K+6.6K40—

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