Skill + CLI or MCP

Reddit r/AI_Agents Tools
ai cli mcp software-development llms workflows

Summary

The author discusses their growing trust in LLMs and seeks advice on whether using AI skills with CLI tools or MCP servers is more optimized for token usage and less error-prone in software development.

Over the past few years, I used AI cautiously in my software development work for fear of hallucinations and fatal mistakes. With how LLMs development, I began trusting them more. Even open source models are sufficiently reliable. Therefore I want to upgrade my AI workflows and I was looking for advice on which approach is better, using AI skills with CLI tools or using MCP servers. That's when both options are available of course. In your experience, which is more optimized for token usage? Which is less error prone? I prefer using a skill with a cli tool since it feels like I have more control, but I'd love to hear some real life experiences.
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