Best use case
rust-sdk-specialist is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Rust SDK development with zero-cost abstractions
Teams using rust-sdk-specialist should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/rust-sdk-specialist/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How rust-sdk-specialist Compares
| Feature / Agent | rust-sdk-specialist | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Rust SDK development with zero-cost abstractions
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Rust SDK Specialist Skill
## Overview
This skill specializes in developing high-performance Rust SDKs with zero-cost abstractions, memory safety guarantees, and async support through tokio or async-std.
## Capabilities
- Design Rust SDK architecture with traits and generics
- Implement async with tokio or async-std runtimes
- Configure cargo publishing to crates.io
- Ensure memory safety patterns without runtime overhead
- Design ergonomic APIs with builder patterns
- Implement proper error handling with thiserror/anyhow
- Support feature flags for optional functionality
- Configure no_std support where applicable
## Target Processes
- Multi-Language SDK Strategy
- SDK Architecture Design
- SDK Testing Strategy
## Integration Points
- crates.io package registry
- cargo for building and testing
- tokio async runtime
- reqwest/hyper for HTTP
- serde for serialization
- tracing for observability
## Input Requirements
- API specification
- Async runtime preference (tokio/async-std)
- MSRV (Minimum Supported Rust Version)
- Feature flag requirements
- no_std requirements (if any)
## Output Artifacts
- Rust crate source code
- Cargo.toml configuration
- Integration and unit tests
- Examples directory
- Documentation (rustdoc)
- CI configuration
## Usage Example
```yaml
skill:
name: rust-sdk-specialist
context:
apiSpec: ./openapi.yaml
msrv: "1.70"
asyncRuntime: tokio
httpClient: reqwest
errorHandling: thiserror
features:
- blocking
- native-tls
- rustls
```
## Best Practices
1. Use traits for abstraction without overhead
2. Implement From/Into for type conversions
3. Provide both async and blocking APIs via features
4. Use the newtype pattern for type safety
5. Document with rustdoc and examples
6. Follow Rust API guidelinesRelated Skills
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Scaffold new babysitter process definitions following SDK patterns, proper structure, and best practices. Guides the 3-phase workflow from research to implementation.
babysitter
Orchestrate via @babysitter. Use this skill when asked to babysit a run, orchestrate a process or whenever it is called explicitly. (babysit, babysitter, orchestrate, orchestrate a run, workflow, etc.)
yolo
Run Babysitter autonomously with minimal manual interruption.
user-install
Install the user-level Babysitter Codex setup.
team-install
Install the team-pinned Babysitter Codex workspace setup.
retrospect
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resume
Resume an existing Babysitter run from Codex.