AI Tooling Overload: No Way to Tell Which Skills, MCP Servers, Models, and Extensions Are Actually Useful vs. Hype

Summary

Users experimenting with AI agents are drowning in a fragmented, exploding ecosystem of skills, MCP servers, custom instructions, extensions and model providers, and they openly admit it is 'getting hard to tell what's actually useful and what's just hype.' Every new tool requires separate setup, its own account/pricing model, and trial-and-error to evaluate, and there is no trusted, side-by-side way to compare real-world usefulness, input costs, or fit for a given workflow. The result is wasted spend, abandoned configurations, endless context switching, and genuine reluctance to adopt AI tooling at all. Directories and Reddit threads only amplify the hype; nothing gives a single workspace that curates, evaluates, and lets users combine the right tools/models for their actual job. This is unsolved and directly blocks the promise of a unified multi-modal AI creation platform.