Search Twitter via X API v2 and write engagement metrics to Markdown files.
npx skills add https://github.com/terminaluse/demos --skill x-research-terminaluse
Please help me install this Agent Skill. Skill: x-research Source: https://github.com/terminaluse/demos/tree/main/devrel/skills/x-research Command: npx skills add https://github.com/terminaluse/demos --skill x-research-terminaluse
Retrieve and interpret Twitter/X engagement data by searching for relevant tweets, extracting metrics, and profiling influential accounts to inform research and content strategy.
Search recent tweets for a topic and save the results to the chosen output directory.
High-intent search queries and answers about installing and using this skill.
To analyze Twitter engagement metrics, search for topic-specific recent tweets using X API v2 endpoints to collect likes, retweets, replies, and quotes along with author details. Results are written to Markdown files for reproducible research and archiving.
Yes, you can identify key influencers by drilling into Twitter engagement using API v2 endpoints for liking_users, retweeted_by, and quote_tweets. This fetches specific accounts interacting with a tweet to profile influential users and conversations.
The best way to collect Twitter engagement data is querying tweets via X API v2 and generating human-readable Markdown outputs. These reports are easy to grep, search, and archive, ensuring reproducible analysis of trends and topics.
Yes, this Twitter analysis approach requires X API v2 to access endpoints for searching recent tweets, fetching liking_users, retweeted_by, and quote_tweets, and extracting engagement metrics and author details for research.
Search recent tweets by querying Twitter for topic-specific content and extract engagement breakdowns covering likes, retweets, replies, and quotes. This profiles influential accounts to inform your research and content strategy.
This method is limited to searching recent tweets and drilling into engagement via X API v2 endpoints for liking_users, retweeted_by, and quote_tweets. It writes results to Markdown files, which may require manual searching for large datasets.
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