Fetch recent X posts and rank them by engagement score.
npx skills add https://github.com/parmartejass/AGENTS.MD --skill x-research-parmartejass
Please help me install this Agent Skill. Skill: x-research Source: https://github.com/parmartejass/AGENTS.MD/tree/main/X-Bookmarks%20Import/skills/x-research Command: npx skills add https://github.com/parmartejass/AGENTS.MD --skill x-research-parmartejass
This skill enables researchers, marketers, and product teams to quickly identify and analyze what people are saying about a topic on X, saving time compared to manual scrolling and manual scoring.
Run the script with a topic to fetch recent X posts and view the ranked results.
High-intent search queries and answers about installing and using this skill.
To analyze recent X posts and rank them by engagement, you can use a script that fetches data from X API v2 over a 7-day window and applies a scoring algorithm. It outputs structured results with author details and media context.
To fetch Twitter data and score posts programmatically, you need an X Bearer token and Python 3.10 or higher. The runtime script uses these to access X API v2 and process the retrieved posts with its engagement scoring algorithm.
Yes, you can filter X API results by language when monitoring trend analysis data. The skill supports optional language filtering alongside its 7-day data retrieval window to help refine your research and sentiment scanning workflows.
Available output formats for Twitter engagement data extraction include full reports, compact lists, and JSON. These options support both human review of top trending posts and programmatic consumption for downstream data enrichment workflows.
The engagement scoring mechanism works by fetching recent X posts about a given topic and calculating a composite engagement score for each. It then ranks the posts and attaches author details and media to provide richer context for your analysis.
A limitation of retrieving X posts for competitive analysis is the 7-day retrieval window imposed by the X API v2. This restricts historical trend monitoring to data from the past week, making it best suited for current sentiment scanning and recent launches.
HaraldeRoesslerManage X posts, replies, likes, retweets, and timeline monitoring via the X v2 API.
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anysiteioMonitor brand mentions and sentiment across social platforms via anysite MCP server.
AradotsoMonitors Twitter GraphQL responses to export engagement data as JSON.
