Agent skills for Codex CLI

Use when Rust error handling with Result, Option, custom errors, thiserror, and anyhow.

When to activate: Rust generics, trait bounds, associated types, GATs, where clauses, PhantomData, higher-ranked trait bounds, type system

Rust GPU Compute Development Guide — helps developers write GPU-accelerated Rust code with correct data-parallel patterns and awareness of…

Guides learners from beginner to competent in Rust through stateful, adaptive curriculum management and spaced repetition.

When to activate: Rust modules, Cargo.toml, workspaces, crate organization, pub visibility, use declarations, features, dependencies

When to activate: Rust tracing, logging, metrics, spans, instruments, OpenTelemetry, tracing-subscriber, prometheus, structured logging

Use when Rust's ownership system including ownership rules, borrowing, lifetimes, and memory safety.

When to activate: general Rust code, ownership, borrowing, lifetimes, enums, pattern matching, traits, structs, idiomatic Rust

This skill should be used when the user asks to write, review, debug, optimize, test, fuzz, port, harden, profile, refactor, or design…

Modern Rust project architecture guide for 2025.

Guidance for scaffolding new Rust projects.

When to activate: Rust security, unsafe code, input validation, secret handling, cryptography, supply chain, audit, injection prevention

When to activate: Rust serde, JSON, serialization, deserialization, custom serialize, rename, flatten, skip, default, serde_json, toml…

Rust systems programming patterns including ownership, traits, async runtime, error handling, and unsafe guidelines

When to activate: Rust web development, axum, actix-web, HTTP server, REST API, middleware, routing, handlers

Diagnoses RustDesk connection failures, network routing errors, and proxy interference for self-hosted and public remote desktop setups.

Scan project dependencies for known vulnerabilities and CVEs.

Converts vocal timbre in audio and video files using Retrieval-based Voice Conversion (RVC) AI models.

Turn settled decisions into an implementation plan for requested planning, handoffs, or multi-session work.

Summarizes the current session into a concise handoff document tailored for seamless context transfer to the next AI agent.

Guides test-first implementation through disciplined red-green cycles and vertical slice iterations.