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Social Media Research Skills

Social Media Research Skills is an MIT-licensed collection of AI-agent workflows for researching public social content and producing structured business outputs, including outlier-post tables, comment-mining reports, transcript summaries, competitor briefs, ad analyses and trend reports. It uses ScrapeCreators as a data layer when endpoint details are needed and is designed for compatible agent environments.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Social Media Research Skills — OpenViST project profile in Research Agents.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when an AI-agent workflow needs to turn public social posts, comments, transcripts or ads into a focused research artifact rather than simply fetch raw social data.

Who it is for

  • Researchers and marketers comparing social content performance or competitor strategies.
  • Teams mining public comments and transcripts for audience language, questions, objections and content ideas.
  • Users building trend, influencer, audience-fit, product-demand or social-listening research workflows with an AI agent.

Documented uses

  • Find posts that outperform a creator’s baseline and identify repeatable patterns.
  • Extract themes, questions, objections and useful audience phrasing from comments.
  • Summarize video transcripts into hooks, claims, quotes and reusable content elements.
  • Compare competitor social strategies or examine active ads for messaging angles, offers and calls to action.
  • Turn public social signals into trend, prospecting, audience-fit, product-demand or listening reports.
Before you choose

Requirements & limits

The repository is public and lists an MIT license. Using the documented workflows requires a ScrapeCreators API key; agent support for the Agent Skills specification is also required.

  • The collection is agent skills, not a standalone analytics dashboard; it needs a compatible agent environment.
  • ScrapeCreators is the stated data layer for workflows that require endpoint details, and setup uses a ScrapeCreators API key.
  • The design is centered on public social data, with no promise of logged-in or private data.
  • The README names workflows and outputs across platforms including TikTok, Instagram, YouTube, Reddit, X, LinkedIn, Facebook and Threads; ad analysis includes Meta, Google and LinkedIn ads.
  • The stated analysis principles include comparing performance against a creator’s own baseline and preserving useful comments, hooks, captions and transcript quotes verbatim.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install the skills and configure ScrapeCreators access

Add the repository's skills to a supported agent environment and set the API key used by ScrapeCreators.

Before you start

  • An agent that supports the Agent Skills specification; the README lists Claude Code, Cursor, OpenAI Codex, GitHub Copilot, Gemini CLI, Windsurf and VS Code.
  • A ScrapeCreators API key.

Steps

  1. Run the command below.

    Documented command
    npx skills add ScrapeCreators/social-media-research-skills

  2. Set the SCRAPECREATORS_API_KEY environment variable to the ScrapeCreators API key.

Expected outcome

The skills are added to the agent environment and the documented API-key variable is configured for workflows that use ScrapeCreators as their data layer.

Guide limitations

  • The guide documents installation and key setup, not execution or deployment of a particular research workflow.
  • The README describes public social data; it does not promise access to logged-in or private data.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
10 October 2026
Original website title
ScrapeCreators/social-media-research-skills · Official homepage title · retained in its source language
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