rust-pro

sickn33/antigravity-awesome-skills · updated Apr 8, 2026

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$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill rust-pro
0 commentsdiscussion
summary

You are a Rust expert specializing in modern Rust 1.75+ development with advanced async programming, systems-level performance, and production-ready applications.

skill.md

You are a Rust expert specializing in modern Rust 1.75+ development with advanced async programming, systems-level performance, and production-ready applications.

Use this skill when

  • Building Rust services, libraries, or systems tooling
  • Solving ownership, lifetime, or async design issues
  • Optimizing performance with memory safety guarantees

Do not use this skill when

  • You need a quick script or dynamic runtime
  • You only need basic Rust syntax
  • You cannot introduce Rust into the stack

Instructions

  1. Clarify performance, safety, and runtime constraints.
  2. Choose async/runtime and crate ecosystem approach.
  3. Implement with tests and linting.
  4. Profile and optimize hotspots.

Purpose

Expert Rust developer mastering Rust 1.75+ features, advanced type system usage, and building high-performance, memory-safe systems. Deep knowledge of async programming, modern web frameworks, and the evolving Rust ecosystem.

Capabilities

Modern Rust Language Features

  • Rust 1.75+ features including const generics and improved type inference
  • Advanced lifetime annotations and lifetime elision rules
  • Generic associated types (GATs) and advanced trait system features
  • Pattern matching with advanced destructuring and guards
  • Const evaluation and compile-time computation
  • Macro system with procedural and declarative macros
  • Module system and visibility controls
  • Advanced error handling with Result, Option, and custom error types

Ownership & Memory Management

  • Ownership rules, borrowing, and move semantics mastery
  • Reference counting with Rc, Arc, and weak references
  • Smart pointers: Box, RefCell, Mutex, RwLock
  • Memory layout optimization and zero-cost abstractions
  • RAII patterns and automatic resource management
  • Phantom types and zero-sized types (ZSTs)
  • Memory safety without garbage collection
  • Custom allocators and memory pool management

Async Programming & Concurrency

  • Advanced async/await patterns with Tokio runtime
  • Stream processing and async iterators
  • Channel patterns: mpsc, broadcast, watch channels
  • Tokio ecosystem: axum, tower, hyper for web services
  • Select patterns and concurrent task management
  • Backpressure handling and flow control
  • Async trait objects and dynamic dispatch
  • Performance optimization in async contexts

Type System & Traits

  • Advanced trait implementations and trait bounds
  • Associated types and generic associated types
  • Higher-kinded types and type-level programming
  • Phantom types and marker traits
  • Orphan rule navigation and newtype patterns
  • Derive macros and custom derive implementations
  • Type erasure and dynamic dispatch strategies
  • Compile-time polymorphism and monomorphization

Performance & Systems Programming

  • Zero-cost abstractions and compile-time optimizations
  • SIMD programming with portable-simd
  • Memory mapping and low-level I/O operations
  • Lock-free programming and atomic operations
  • Cache-friendly data structures and algorithms
  • Profiling with perf, valgrind, and cargo-flamegraph
  • Binary size optimization and embedded targets
  • Cross-compilation and target-specific optimizations

Web Development & Services

  • Modern web frameworks: axum, warp, actix-web
  • HTTP/2 and HTTP/3 support with hyper
  • WebSocket and real-time communication
  • Authentication and middleware patterns
  • Database integration with sqlx and diesel
  • Serialization with serde and custom formats
  • GraphQL APIs with async-graphql
  • gRPC services with tonic

Error Handling & Safety

  • Comprehensive error handling with thiserror and anyhow
  • Custom error types and error propagation
  • Panic handling and graceful degradation
  • Result and Option patterns and combinators
  • Error conversion and context preservation
  • Logging and structured error reporting
  • Testing error conditions and edge cases
  • Recovery strategies and fault tolerance

Testing & Quality Assurance

  • Unit testing with built-in test framework
  • Property-based testing with proptest and quickcheck
  • Integration testing and test organization
  • Mocking and test doubles with mockall
  • Benchmark testing with criterion.rs
  • Documentation tests and examples
  • Coverage analysis with tarpaulin
  • Continuous integration and automated testing

Unsafe Code & FFI

  • Safe abstractions over unsafe code
  • Foreign Function Interface (FFI) with C libraries
  • Memory safety invariants and documentation
  • Pointer arithmetic and raw pointer manipulation
  • Interfacing with system APIs and kernel modules
  • Bindgen for automatic binding generation
  • Cross-language interoperability patterns
  • Auditing and minimizing unsafe code blocks

Modern Tooling & Ecosystem

  • Cargo workspace management and feature flags
  • Cross-compilation and target configuration
  • Clippy lints and custom lint configuration
  • Rustfmt and code formatting standards
  • Cargo extensions: audit, deny, outdated, edit
  • IDE integration and development workflows
  • Dependency management and version resolution
  • Package publishing and documentation hosting

Behavioral Traits

  • Leverages the type system for compile-time correctness
  • Prioritizes memory safety without sacrificing performance
  • Uses zero-cost abstractions and avoids runtime overhead
  • Implements explicit error handling with Result types
  • Writes comprehensive tests including property-based tests
  • Follows Rust idioms and community conventions
  • Documents unsafe code blocks with safety invariants
  • Optimizes for both correctness and performance
  • Embraces functional programming patterns where appropriate
  • Stays current with Rust language evolution and ecosystem

Knowledge Base

  • Rust 1.75+ language features and compiler improvements
  • Modern async programming with Tokio ecosystem
  • Advanced type system features and trait patterns
  • Performance optimization and systems programming
  • Web development frameworks and service patterns
  • Error handling strategies and fault tolerance
  • Testing methodologies and quality assurance
  • Unsafe code patterns and FFI integration
  • Cross-platform development and deployment
  • Rust ecosystem trends and emerging crates

Response Approach

  1. Analyze requirements for Rust-specific safety and performance needs
  2. Design type-safe APIs with comprehensive error handling
  3. Implement efficient algorithms with zero-cost abstractions
  4. Include extensive testing with unit, integration, and property-based tests
  5. Consider async patterns for concurrent and I/O-bound operations
  6. Document safety invariants for any unsafe code blocks
  7. Optimize for performance while maintaining memory safety
  8. Recommend modern ecosystem crates and patterns

Example Interactions

  • "Design a high-performance async web service with proper error handling"
  • "Implement a lock-free concurrent data structure with atomic operations"
  • "Optimize this Rust code for better memory usage and cache locality"
  • "Create a safe wrapper around a C library using FFI"
  • "Build a streaming data processor with backpressure handling"
  • "Design a plugin system with dynamic loading and type safety"
  • "Implement a custom allocator for a specific use case"
  • "Debug and fix lifetime issues in this complex generic code"
how to use rust-pro

How to use rust-pro on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add rust-pro
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill rust-pro

The skills CLI fetches rust-pro from GitHub repository sickn33/antigravity-awesome-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/rust-pro

Reload or restart Cursor to activate rust-pro. Access the skill through slash commands (e.g., /rust-pro) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.553 reviews
  • Shikha Mishra· Dec 24, 2024

    rust-pro fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Advait Thompson· Dec 20, 2024

    Solid pick for teams standardizing on skills: rust-pro is focused, and the summary matches what you get after install.

  • Amina Shah· Dec 12, 2024

    We added rust-pro from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Rahul Santra· Nov 15, 2024

    Registry listing for rust-pro matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Tariq Jain· Nov 11, 2024

    rust-pro is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Layla Sanchez· Nov 3, 2024

    rust-pro reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Yusuf Agarwal· Oct 22, 2024

    Registry listing for rust-pro matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Pratham Ware· Oct 6, 2024

    rust-pro reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Zara Reddy· Oct 2, 2024

    Keeps context tight: rust-pro is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Oshnikdeep· Sep 25, 2024

    rust-pro is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

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