tauri-binary-size_skill

Overview

This skill guides you through practical techniques to minimize Tauri v2 desktop binary sizes for production releases. It focuses on Cargo profile settings, Tauri build options, and complementary frontend steps to deliver small, efficient application bundles. You’ll get concrete configuration examples and trade-offs so you can balance size, build time, and runtime behavior.

How this skill works

The skill inspects and recommends Rust/Cargo release profile settings (codegen-units, lto, opt-level, panic, strip) and Tauri build options (removeUnusedCommands, feature flags) that reduce included code and debug data. It also highlights frontend optimizations and provides build commands and checks to verify final bundle sizes. Advice includes nightly-only flags and fallbacks when aggressive options cause build issues.

When to use it

• Preparing a production release where installer/binary size matters
• Targeting low-bandwidth distribution or constrained storage devices
• Reducing startup memory and disk footprint for embedded or corporate deployments
• Auditing and trimming unused Tauri command handlers and features
• When you need a repeatable, CI-friendly build configuration for small artifacts

Best practices

• Set profile.release.codegen-units = 1 and enable LTO for whole-program optimization, or use thin LTO if memory is limited
• Use opt-level = "s" or "z" to optimize for size; prefer "s" unless extreme size reduction is required
• Set panic = "abort" and strip = true to remove unwinding and symbol data from release binaries
• Enable tauri.conf.json build.removeUnusedCommands and only include required Tauri features in Cargo.toml
• Audit Rust and frontend dependencies regularly (cargo tree, npm audit) and run size checks after each release

Example use cases

• A cross-platform desktop app shipped to users with limited download bandwidth where reducing installer MBs improves adoption
• A corporate internal tool that must stay under a size threshold for distribution systems
• An embedded kiosk app where disk space and memory are constrained and startup speed benefits from smaller binaries
• CI pipeline that builds release artifacts with deterministic small sizes using the recommended Cargo.toml profile