design-patterns
GitHub提供 Rust、TS/React、Django/Python 的设计模式推荐,涵盖选型、抽象边界及实现对比,辅助开发者根据上下文选择合适方案。
Trigger Scenarios
Install
npx skills add waybarrios/opencode-power-pack --skill design-patterns -g -y
SKILL.md
Frontmatter
{
"name": "design-patterns",
"license": "MIT (modified; see UPSTREAMS.json)",
"description": "Agents should invoke this skill when choosing patterns, designing traits\/interfaces\/components, deciding abstraction boundaries, evaluating dependency injection\/callbacks, or comparing implementation approaches in Rust, TypeScript\/React, or Django\/Python."
}
Design Patterns
Pattern recommendations tailored to common tech stacks. Every pattern recommendation includes when to use it, when to avoid it, and the trade-offs.
Quick Start
Choose a Pattern
- Identify the problem: What design challenge are you solving?
- Consider the context: What language? What scale? How often will this change?
- Evaluate options: 2-3 candidate patterns with trade-offs
- Recommend: The best fit for this specific context (not the "best pattern in general")
The golden rule: Patterns are tools, not goals. Use the simplest pattern that solves the problem. If no pattern fits, a plain function or struct is fine.
Rust Patterns
Newtype Pattern
Wrap a primitive to add type safety and domain meaning.
struct UserId(u64);
struct OrderId(u64);
// Now the compiler prevents mixing up UserId and OrderId
fn get_order(user: UserId, order: OrderId) -> Order { ... }
When to use: When two values have the same underlying type but different meanings. When to skip: One-off uses where a type alias suffices.
Builder Pattern
Construct complex objects step by step.
let config = ServerConfig::builder()
.host("localhost")
.port(8080)
.max_connections(100)
.build()?;
When to use: Structs with many optional fields, complex construction logic.
When to skip: Structs with 1-3 required fields — just use new().
Typestate Pattern
Encode state transitions in the type system so invalid states are unrepresentable.
struct Connection<S: State> { /* ... */ state: PhantomData<S> }
struct Disconnected;
struct Connected;
struct Authenticated;
impl Connection<Disconnected> {
fn connect(self) -> Result<Connection<Connected>> { ... }
}
impl Connection<Connected> {
fn authenticate(self, creds: &Credentials) -> Result<Connection<Authenticated>> { ... }
}
impl Connection<Authenticated> {
fn query(&self, sql: &str) -> Result<Rows> { ... }
}
// Can't call query() on a Disconnected connection — compile error
When to use: Protocols with clear state transitions (connections, workflows, parsing stages). When to skip: Simple on/off states — a boolean or enum is clearer.
Trait Objects vs Generics
| Approach | Dispatch | Binary Size | Flexibility |
|---|---|---|---|
impl Trait (generics) |
Static (monomorphized) | Larger (one copy per type) | Known at compile time |
dyn Trait (trait objects) |
Dynamic (vtable) | Smaller (one copy) | Extensible at runtime |
Use generics when: Performance matters, types are known at compile time, you want zero-cost abstraction. Use trait objects when: You need heterogeneous collections, plugin systems, or the set of types is open-ended.
Error Handling Patterns
| Pattern | When | Crate |
|---|---|---|
thiserror |
Library errors — structured, specific variants | thiserror |
anyhow |
Application errors — context-rich, propagate quickly | anyhow |
| Custom enum | When you need exhaustive matching by callers | std only |
Rule of thumb: Libraries use thiserror (callers need to match). Applications use anyhow (callers need context).
TypeScript / React Patterns
Compound Components
Components that work together implicitly via shared context.
<Select>
<Select.Trigger>Choose a fruit</Select.Trigger>
<Select.Options>
<Select.Option value="apple">Apple</Select.Option>
<Select.Option value="banana">Banana</Select.Option>
</Select.Options>
</Select>
When to use: Complex UI components with multiple related parts (menus, accordions, tabs). When to skip: Simple components with 1-2 elements.
Custom Hook Composition
Extract and compose behavior into reusable hooks.
function useDebounce<T>(value: T, delay: number): T { ... }
function usePagination(items: Item[], pageSize: number) { ... }
function useLocalStorage<T>(key: string, initial: T) { ... }
When to use: Shared stateful logic across components, complex state management within a component. When to skip: One-off logic that doesn't repeat.
Discriminated Unions
Type-safe state modeling using TypeScript's union types.
type AsyncState<T> =
| { status: "idle" }
| { status: "loading" }
| { status: "success"; data: T }
| { status: "error"; error: Error };
// Exhaustive switch — TypeScript ensures all cases handled
function render(state: AsyncState<User>) {
switch (state.status) {
case "idle": return <Placeholder />;
case "loading": return <Spinner />;
case "success": return <UserCard user={state.data} />;
case "error": return <ErrorBanner error={state.error} />;
}
}
When to use: State machines, API response states, form states, anything with distinct modes. When to skip: Boolean flags are fine for simple on/off states.
State Management Decision Tree
- UI-local state? ->
useState/useReducer - Shared between siblings? -> Lift state to common parent
- Shared across distant components? -> React Context
- Complex state logic? ->
useReducer+ Context - Server state (API data)? -> TanStack Query / SWR
- Global app state? -> Zustand / Jotai (prefer over Redux for new projects)
Django / Python Patterns
Service Layer
Separate business logic from views and models.
# services/order_service.py
class OrderService:
@staticmethod
def create_order(user: User, items: list[CartItem]) -> Order:
"""Business logic lives here, not in the view."""
order = Order.objects.create(user=user, total=calculate_total(items))
OrderItem.objects.bulk_create([...])
send_confirmation_email(user, order)
return order
When to use: Business logic that involves multiple models, external calls, or complex validation. When to skip: Simple CRUD with no business rules beyond Django's built-in validation.
Repository Pattern (QuerySet Abstraction)
Custom managers and querysets to encapsulate query logic.
class PublishedManager(models.Manager):
def get_queryset(self):
return super().get_queryset().filter(status="published")
class Article(models.Model):
objects = models.Manager() # Default
published = PublishedManager() # Article.published.all()
When to use: Complex or reusable query logic, domain-specific filtering. When to skip: One-off queries or simple filters.
Signals vs Explicit Calls
| Approach | Pros | Cons |
|---|---|---|
| Django signals | Decoupled, works across apps | Hidden control flow, hard to debug, ordering issues |
| Explicit calls | Visible, debuggable, testable | Coupling between modules |
Rule of thumb: Use signals for truly cross-cutting concerns (audit logging, cache invalidation). Use explicit calls for business-critical logic where you need to understand and test the flow.
Anti-Patterns (All Stacks)
| Anti-Pattern | Problem | Fix |
|---|---|---|
| Premature abstraction | Abstracting before seeing the pattern repeat | Wait for 3 instances before extracting |
| Inheritance over composition | Deep inheritance hierarchies, fragile base class | Prefer composition (traits, hooks, mixins) |
| God object | One class/module that does everything | Split by responsibility (SRP) |
| Shotgun surgery | One change requires editing many files | Group related code together |
| Feature envy | A function uses another class's data more than its own | Move the function to the class it envies |
| Speculative generality | Building for use cases that may never come | YAGNI — build for now, refactor when needed |
| Golden hammer | Using the same pattern/tool for everything | Choose the right tool for the job |
Pattern Selection Guide
When asked "which pattern should I use?":
- Describe the problem (not the pattern you think fits)
- Identify constraints (performance, extensibility, team size, timeline)
- Present 2-3 options with trade-offs
- Recommend one with clear justification
- Note when to revisit — "If X changes, reconsider Y"
Integration
Cross-reference this pack's code-architect skill for structural/architecture assessment and code-quality for the complexity thresholds that motivate refactoring toward a pattern.
Version History
- f198a18 Current 2026-08-16 09:11


