rust-skill_skill

This skill helps you diagnose and optimize Rust code by guiding ownership, lifetimes, concurrency, and async patterns with practical examples.
  • Shell

20

GitHub Stars

3

Bundled Files

2 months ago

Catalog Refreshed

4 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill huiali/rust-skills --skill rust-skill

  • SKILL_EN.md1.5 KB
  • SKILL_ZH.md4.5 KB
  • SKILL.md4.4 KB

Overview

This skill is a Rust programming expert that diagnoses and resolves Rust-specific problems across ownership, lifetimes, concurrency, async/await, and performance. It provides practical fixes, runnable code examples, and guidance tailored to whether you need a learning-oriented explanation or a production-grade solution. Use it to triage compiler errors, design concurrent systems, and optimize real-world Rust projects.

How this skill works

I analyze compiler errors, code snippets, and design descriptions to identify whether issues are language-level (syntax, types, lifetimes) or design-level (architecture, threading, API ergonomics). I propose targeted remedies—borrows vs ownership, Arc vs Rc, lifetimes vs owned types, Send/Sync fixes—and return minimal reproducible code, explanation, and potential pitfalls. I also suggest commands and tooling (cargo check, clippy, fmt, test) and route to specialized capabilities for testing, database, or observability concerns when appropriate.

When to use it

  • When you hit Rust compiler errors (ownership, borrow, lifetime diagnostics).
  • When designing or debugging concurrent async code with Send/Sync constraints.
  • When optimizing performance or eliminating unnecessary clones and allocations.
  • When writing or reviewing public APIs and ensuring ergonomic ownership.
  • When preparing code for production: testing, safety comments, and diagnostics.

Best practices

  • Prefer borrowing (&T) and clear lifetime annotations over moving by default.
  • Use ? for error propagation; avoid unwrap() in production code paths.
  • Document public APIs with doc comments and annotate unsafe blocks with SAFETY rationale.
  • Prefer Arc for shared ownership across threads; replace Rc with Arc in multithreaded contexts.
  • Use cargo check/clippy/fmt early in the edit-compile loop to catch issues fast.

Example use cases

  • Fixing E0382/E0597 errors by converting moves to borrows or introducing Arc/clone where appropriate.
  • Resolving lifetime mismatch errors when returning references from functions or storing references in structs.
  • Diagnosing Send/Sync failures by inspecting fields for Rc, Cell, or raw pointers and suggesting thread-safe alternatives.
  • Refactoring sync code to async with tokio, ensuring futures are Send when spawned across threads.
  • Improving performance by identifying unnecessary allocations, adopting iterator adapters, or adjusting data ownership.

FAQ

Share the minimal failing code, the exact compiler error, whether this is a library or app, and any constraints (no_std, performance budgets, thread model).

Should I prefer lifetimes or owned return types?

Prefer lifetimes when you want zero-copy and the caller already owns the data; prefer owned types to simplify APIs and avoid complex lifetime annotations when copying is acceptable.

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