What problem does it solve?
Many users follow large numbers of Twitter/X accounts that remain uncategorized, making discovery, curation, and focused reading difficult; this Skill automates discovery of uncategorized follows, analyzes profiles and recent tweets, and recommends list assignments to save time and improve organization.
Core Features & Use Cases
- Six-stage interactive workflow: prepares stats and lists, finds uncategorized follows, performs deep profile and tweet fetches, runs AI-based semantic matching, waits for user confirmation, and executes batch list operations.
- Safe write operations: enforces explicit user confirmation before creating lists or adding members and reports per-action success, skip, and failure counts.
- Robust error and rate handling: handles API-level errors that return success:false, treats certain error codes (xgo-0001, xgo-0005, xgo-0011, xgo-9005) specially, and includes grouping strategies to avoid 429 rate limits.
- Use Cases: clean up an individual's uncategorized follows, build focused topic lists (e.g., AI, Crypto), or run a supervised batch reorganization of followings.
Quick Start
Organize my uncategorized Twitter/X follows by analyzing the top 20 users and propose list assignments for my confirmation.