Fetch and sort tweet replies by engagement using the Xquik API.
npx skills add https://github.com/Xquik-dev/x-twitter-scraper --skill top-replies
Please help me install this Agent Skill. Skill: top-replies Source: https://github.com/Xquik-dev/x-twitter-scraper/tree/main/skills/top-replies Command: npx skills add https://github.com/Xquik-dev/x-twitter-scraper --skill top-replies
Retrieve and rank the most engaging replies to a public tweet, enabling quick insights into audience reaction and discussion quality.
Provide the tweet ID or URL and let the skill fetch and rank the top replies.
High-intent search queries and answers about installing and using this skill.
Fetch top-engagement replies for a tweet by providing its ID or URL. The skill retrieves replies via the Xquik API and sorts them locally by likes and retweets to surface the top discussions.
You can extract replies from large threads for offline analysis using the bulk extraction endpoint. This path routes through the /extractions API to handle high-volume data processing efficiently.
Sorting replies by engagement is handled client-side. After fetching the tweet replies via the API, the skill ranks them locally by calculating the sum of likes and retweets.
You need a valid Xquik API key to retrieve tweet replies. The skill requires this key to authenticate requests when accessing the /x/tweets/{id}/replies endpoint for data extraction.
The best way to review audience reactions is to fetch and rank top replies by engagement. This surfaces the highest-impact community responses, enabling quick insights into discussion quality and audience sentiment.
The tweet replies extraction supports paginated reads. This allows you to retrieve large sets of replies incrementally via the API, ensuring stable data extraction without hitting request limits.
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