What problem does it solve?
Aggregating relevant Twitter/X content across timelines, recommendations, lists, tags, and bookmarks is time-consuming and easy to miss key signals; this Skill provides a deterministic, filtered, and de-duplicated tweet retrieval workflow so downstream tasks receive complete machine-readable data rather than summaries.
Core Features & Use Cases
- Authentication via X-API-KEY read from environment and explicit requirement to surface configuration issues to the user.
- Parallelized multi-query fetching (following pages + recommendation) with explicit sort and pagination, client-side influenceScore filtering, de-duplication by tweet id, and clear truncation warnings when page limits are reached.
- Outputs full tweet DTO records for downstream quality checks and processing, with helpers to list available languages and follower tags, and robust error handling for success flags, rate limits, and special xgo error codes.
- Use cases: generate daily digests of top tweets, monitor high-influence conversations, fetch bookmarked tweets for archival, and pull a specific list or tag for curated analysis.
Quick Start
Fetch the top 20 most influential tweets from my following timeline in the last 24 hours using the XGo API.