Taming Your AI Coding Assistant: High-Quality Skills in Rust and Go

If you’ve used Claude Code or similar tools for Rust or Go, you’ve seen code that compiles but isn’t idiomatic—e.g. shared mutable state in Go, or unnecessary clone() in Rust. The issue isn’t intelligence; it’s lack of constraints. Skills provide that constraint.

What are Skills? Where to find them?

Skills are rule modules for AI coding tools (e.g. Claude Code): structured SKILL.md files that define what’s acceptable and what to avoid.

Main index: SkillsMP — 90k+ community Skills, search and filters.

Before picking a Skill: check recent commits, supported model versions, and whether it’s been used in real projects.

Rust: 179 rules for idiomatic code

Rust has a steep learning curve; unconstrained models tend to produce code that compiles but triggers clippy warnings. Use a Rust Skill (e.g. from SkillsMP) and run bunx skillsmp add or integrate the repo so the model follows the rules.

Go: structure and style

Similarly, use a Go Skill to enforce structure, error handling, and concurrency patterns (e.g. avoid global state, use context, prefer table-driven tests).

Integrate Skills into your repo or toolchain so the assistant always has the right constraints. For full examples and setup, see the Chinese version of this post.