m04-zero-cost
actionbook/rust-skills
Master generics, traits, and zero-cost abstraction—choose static vs. dynamic dispatch correctly.
What is m04-zero-cost?
This skill teaches when and how to use Rust's compile-time (generics) vs. runtime (trait objects) polymorphism. Use it when you hit trait-bound errors (E0277, E0308, E0599, E0038) or need to decide between static and dynamic dispatch for performance-critical code.
- Distinguish between static dispatch (generics, impl Trait) and dynamic dispatch (dyn Trait, Box<dyn Trait>)
- Diagnose trait-bound errors and ask the right design questions instead of blindly adding bounds
- Evaluate object-safety constraints and when to redesign vs. use generics
- Compare performance trade-offs: code size, runtime cost, and compile time for each pattern
- Identify anti-patterns like over-generic code, unnecessary dyn indirection, and overly complex trait hierarchies
How to install m04-zero-cost
npx skills add https://github.com/actionbook/rust-skills --skill m04-zero-costHow to use m04-zero-cost
- 1.When you hit a trait-bound error, pause and ask: 'Is the abstraction at the right level?'
- 2.Determine whether the type is known at compile time (use generics) or runtime (use dyn Trait)
- 3.Check the decision guide: performance-critical → generics; heterogeneous collection → dyn Trait; plugin architecture → dyn Trait
- 4.Review the syntax comparison to pick impl Trait, generics, or dyn Trait for your use case
- 5.Verify object-safety if using dyn Trait; if a trait isn't object-safe, either use generics or redesign the trait
Use cases
- Resolving E0277 'trait bound not satisfied' by clarifying whether the abstraction level is correct
- Building a plugin architecture where types are unknown at compile time, requiring dyn Trait
- Optimizing a performance-critical path by choosing generics (zero-cost) over trait objects
- Designing a heterogeneous collection (Vec<Box<dyn Trait>>) for runtime-determined types
- Reducing compile time in a large codebase by replacing monomorphized generics with dynamic dispatch where appropriate
- Rust developers writing generic code or trait-based abstractions
- Engineers optimizing for performance and compile time
- Architects designing plugin systems or extensible APIs
- Anyone debugging trait-bound or type-mismatch errors in Rust
m04-zero-cost FAQ
Use generics (static dispatch) when types are known at compile time and performance is critical—zero runtime cost. Use dyn Trait (dynamic dispatch) when types are determined at runtime, you need a heterogeneous collection, or you're building a plugin system.
A trait is object-safe if it doesn't have Self: Sized bounds, doesn't return Self, doesn't have generic methods, and uses where Self: Sized for non-object-safe methods. Only object-safe traits can be used as dyn Trait.
The type you're using doesn't implement the trait you're requiring. Instead of just adding a bound, ask: Is this the right abstraction? Should I use a different trait, a concrete type, or an enum instead?
Use dyn Trait in non-critical paths to reduce monomorphization bloat. Keep generics for hot paths. Profile to find the right balance for your codebase.
impl Trait is syntactic sugar for generics in function signatures. Both use static dispatch and have zero runtime cost. impl Trait is cleaner for single-use abstractions; explicit generics are better when you need trait bounds or multiple type parameters.
Full instructions (SKILL.md)
Source of truth, from actionbook/rust-skills.
name: m04-zero-cost description: "CRITICAL: Use for generics, traits, zero-cost abstraction. Triggers: E0277, E0308, E0599, generic, trait, impl, dyn, where, monomorphization, static dispatch, dynamic dispatch, impl Trait, trait bound not satisfied, 泛型, 特征, 零成本抽象, 单态化" user-invocable: false
Zero-Cost Abstraction
Layer 1: Language Mechanics
Core Question
Do we need compile-time or runtime polymorphism?
Before choosing between generics and trait objects:
- Is the type known at compile time?
- Is a heterogeneous collection needed?
- What's the performance priority?
Error → Design Question
| Error | Don't Just Say | Ask Instead |
|---|---|---|
| E0277 | "Add trait bound" | Is this abstraction at the right level? |
| E0308 | "Fix the type" | Should types be unified or distinct? |
| E0599 | "Import the trait" | Is the trait the right abstraction? |
| E0038 | "Make object-safe" | Do we really need dynamic dispatch? |
Thinking Prompt
Before adding trait bounds:
-
What abstraction is needed?
- Same behavior, different types → trait
- Different behavior, same type → enum
- No abstraction needed → concrete type
-
When is type known?
- Compile time → generics (static dispatch)
- Runtime → trait objects (dynamic dispatch)
-
What's the trade-off priority?
- Performance → generics
- Compile time → trait objects
- Flexibility → depends
Trace Up ↑
When type system fights back:
E0277 (trait bound not satisfied)
↑ Ask: Is the abstraction level correct?
↑ Check: m09-domain (what behavior is being abstracted?)
↑ Check: m05-type-driven (should use newtype?)
| Persistent Error | Trace To | Question |
|---|---|---|
| Complex trait bounds | m09-domain | Is the abstraction right? |
| Object safety issues | m05-type-driven | Can typestate help? |
| Type explosion | m10-performance | Accept dyn overhead? |
Trace Down ↓
From design to implementation:
"Need to abstract over types with same behavior"
↓ Types known at compile time → impl Trait or generics
↓ Types determined at runtime → dyn Trait
"Need collection of different types"
↓ Closed set → enum
↓ Open set → Vec<Box<dyn Trait>>
"Need to return different types"
↓ Same type → impl Trait
↓ Different types → Box<dyn Trait>
Quick Reference
| Pattern | Dispatch | Code Size | Runtime Cost |
|---|---|---|---|
fn foo<T: Trait>() | Static | +bloat | Zero |
fn foo(x: &dyn Trait) | Dynamic | Minimal | vtable lookup |
impl Trait return | Static | +bloat | Zero |
Box<dyn Trait> | Dynamic | Minimal | Allocation + vtable |
Syntax Comparison
// Static dispatch - type known at compile time
fn process(x: impl Display) { } // argument position
fn process<T: Display>(x: T) { } // explicit generic
fn get() -> impl Display { } // return position
// Dynamic dispatch - type determined at runtime
fn process(x: &dyn Display) { } // reference
fn process(x: Box<dyn Display>) { } // owned
Error Code Reference
| Error | Cause | Quick Fix |
|---|---|---|
| E0277 | Type doesn't impl trait | Add impl or change bound |
| E0308 | Type mismatch | Check generic params |
| E0599 | No method found | Import trait with use |
| E0038 | Trait not object-safe | Use generics or redesign |
Decision Guide
| Scenario | Choose | Why |
|---|---|---|
| Performance critical | Generics | Zero runtime cost |
| Heterogeneous collection | dyn Trait | Different types at runtime |
| Plugin architecture | dyn Trait | Unknown types at compile |
| Reduce compile time | dyn Trait | Less monomorphization |
| Small, known type set | enum | No indirection |
Object Safety
A trait is object-safe if it:
- Doesn't have
Self: Sizedbound - Doesn't return
Self - Doesn't have generic methods
- Uses
where Self: Sizedfor non-object-safe methods
Anti-Patterns
| Anti-Pattern | Why Bad | Better |
|---|---|---|
| Over-generic everything | Compile time, complexity | Concrete types when possible |
dyn for known types | Unnecessary indirection | Generics |
| Complex trait hierarchies | Hard to understand | Simpler design |
| Ignore object safety | Limits flexibility | Plan for dyn if needed |
Related Skills
| When | See |
|---|---|
| Type-driven design | m05-type-driven |
| Domain abstraction | m09-domain |
| Performance concerns | m10-performance |
| Send/Sync bounds | m07-concurrency |
Related skills
More from actionbook/rust-skills and the wider catalog.

m05-type-driven
Use Rust's type system to make invalid states unrepresentable at compile time.

m06-error-handling
Master Rust error handling: when to use Result, Option, panic, and how to propagate errors effectively.

m07-concurrency
Master Rust concurrency: threads, async/await, channels, and thread-safe primitives.

m09-domain
Model domain concepts as Entities, Value Objects, and Aggregates using Rust ownership and type safety.

m10-performance
Measure, identify bottlenecks, then optimize with data structures, allocation strategies, and parallelism.

m11-ecosystem
Navigate Rust crate selection, dependency management, and ecosystem integration decisions.