Skip to content
TrustedSkillsbeta
Back to all skills

Rust Performance

Listed
terraphim·vlatest·backend

Helps with Rust, performance optimization as part of developing backend services and APIs workflows.

Install on your platform

This skill no longer installs under the name rust-performance. terraphim/opencode-skills is deleted or private, so it cannot be installed from.

We check each listing against its upstream repository with the rules the skills CLI uses, last on 2026-10-24. We don't show a command we know will fail.

Repository install instructions

What we know about this skill

Publisher

terraphim

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. repository not found or private Source recorded as terraphim/opencode-skills.
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill optimizes Rust code for performance. It analyzes existing Rust programs, identifies bottlenecks, and suggests or implements changes to improve execution speed and resource utilization. The skill can be used to profile code, identify memory leaks, and apply common optimization patterns.

When to use it

  • Slow backend services: Improve the responsiveness of a Rust-based API server experiencing performance issues.
  • Resource-intensive applications: Optimize computationally heavy tasks like image processing or data analysis written in Rust.
  • Profiling existing codebases: Gain insights into where your Rust application spends most of its time and identify areas for improvement.
  • Preparing for production deployment: Ensure that a Rust application meets performance requirements before releasing it to users.

Key capabilities

  • Code profiling
  • Memory leak detection
  • Optimization pattern implementation
  • Bottleneck identification

Example prompts

  • "Profile this Rust code and identify the slowest functions."
  • "Analyze this program for potential memory leaks."
  • "Suggest optimizations to improve the performance of this sorting algorithm in Rust."
  • “Can you make this Rust function run faster?”

Tips & gotchas

The skill requires access to the Rust codebase being analyzed. It's most effective when provided with a clear problem statement or specific performance goals.