Search tweets and retrieve user profiles from Twitter/X data.
npx skills add https://github.com/Starchild-ai-agent/official-skills --skill twitter-starchild-ai-agent
Please help me install this Agent Skill. Skill: twitter Source: https://github.com/Starchild-ai-agent/official-skills/tree/main/twitter Command: npx skills add https://github.com/Starchild-ai-agent/official-skills --skill twitter-starchild-ai-agent
This Skill provides read-only access to Twitter/X data, allowing users to search for tweets, retrieve user profiles, and analyze social activity without direct interaction.
Search for tweets mentioning the keyword "AI ethics" and sort them by popularity.
High-intent search queries and answers about installing and using this skill.
To search Twitter tweets by keyword and sort by popularity, use the tweet search tool to query specific keywords, hashtags, or users with advanced operators. It retrieves matching tweets and analyzes social activity without direct interaction.
You can retrieve Twitter user profiles and follower counts using the user information tool. It fetches account details including bios, follower metrics, and tweet history, operating in read-only mode without requiring direct platform login.
Yes, you need a TWITTER_API_KEY environment variable for authentication to retrieve Twitter user data. This key authorizes the read-only tools to access Twitter/X data for searching tweets, retrieving profiles, and analyzing social interactions.
The best way to analyze Twitter engagement for specific tweets is using the engagement analysis tool. It discovers which accounts retweeted or replied to targeted posts, enabling social listening and market research on the platform.
A limitation to searching Twitter data for social listening is that access is strictly read-only. You cannot post tweets, like posts, or follow accounts; the tools are constrained to searching tweets, retrieving profiles, and analyzing existing social interactions.
Retrieving Twitter data for market research works by querying tweets mentioning specific keywords to identify influential accounts and popular discussions. This enables content discovery and sentiment analysis around targeted topics without direct interaction.
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