x-research

Discover high-performing X/Twitter tweets via Apify's Tweet Scraper V2.

Updated Jun 4, 2024
One-click install
npx skills add https://github.com/meta-light/meta-light --skill x-research-meta-light
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: x-research
Source: https://github.com/meta-light/meta-light/tree/main/.agents/skills/x-research
Command: npx skills add https://github.com/meta-light/meta-light --skill x-research-meta-light

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Apify, Gemini, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the research process for high-performing X/Twitter content, saving time and providing insights into trending topics and content patterns.

Core Features & Use Cases

  • Trend Analysis: Identifies trending tweets, content patterns, and outlier tweets.
  • Competitor Analysis: Analyze competitors' X content for insights.
  • Content Strategy Development: Generate content ideas from X trends.
  • Use Case: For a content strategist looking to understand the most engaging content on X/Twitter, this Skill can quickly surface top hashtags, mentions, and keywords to inform strategy.

Quick Start

Use the x-research skill to analyze the top tweets from the account 'meta-light' in the last 30 days.

Frequently Asked Questions about x-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Twitter analysis to find high-performing content?

You automate Twitter analysis by using Apify Tweet Scraper V2 to find trending topics and outlier tweets. This Skill surfaces top hashtags, mentions, and keywords to inform your content strategy.

What is the best way to analyze competitor X content for content strategy?

Analyzing competitor X content for content strategy is best done by automating discovery of high-performing tweets. This Skill identifies trending content patterns and outliers to help you understand engaging content in your niche.

Do I need Apify and Gemini API access to perform trend discovery on X?

Yes, you need Apify and Gemini API access to perform trend discovery on X. Apify Tweet Scraper V2 extracts the tweet data, while the Gemini API is required specifically for analyzing video content within those tweets.

Can I use this approach to identify trending topics from specific X accounts?

You can identify trending topics from specific X accounts by targeting the scraper to analyze top tweets from those accounts over a defined period. This automates discovery of their high-performing content patterns and outlier tweets.

What are the limitations of using Apify for social media trend analysis?

Limitations of using Apify for social media trend analysis include requiring separate API keys and incurring external usage costs. Additionally, video analysis depends entirely on Gemini API integration, meaning text-only setups cannot process visual tweet content.