Convert Rust specs into backend implementations with tracing, SQLx, and health endpoints.
npx skills add https://github.com/nholder88/ai-agent-workflows --skill impl-rust
Please help me install this Agent Skill. Skill: impl-rust Source: https://github.com/nholder88/ai-agent-workflows/tree/main/skills/impl-rust Command: npx skills add https://github.com/nholder88/ai-agent-workflows --skill impl-rust
Implement or refactor Rust backend code from a spec, task, or architecture document. Covers Actix, Axum, Rocket, and tokio with full production standards inline (tracing structured logging, sqlx connection management, health endpoints, tokio-retry, seeding, graceful shutdown, config validation with envy).
Provide a Rust spec or architecture document and I will generate a production-grade backend in Rust.
High-intent search queries and answers about installing and using this skill.
You can convert an API spec into a runnable Rust backend by providing the architecture document. The generated service includes tracing structured logging, SQLx connection management, tokio-retry, and config validation.
Yes, you can refactor existing Rust backends to enforce structured logging with tracing and SQLx connection pools. This production-hardens your service by standardizing resilience patterns like tokio-retry and graceful shutdown.
Yes, Rust spec-to-code generation supports Actix, Axum, Rocket, and tokio-based web services. It applies standardized production patterns across these frameworks for consistent observability and resilience.
The best way to production-harden a tokio-based Rust web service is to enforce health endpoints, tokio-retry, and graceful shutdown. This ensures resilience and proper resource management during failures or deployments.
You configure Rust backend services by applying envy for config validation from environment variables. This ensures the service fails fast on missing or invalid configurations before startup completes.
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