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Go Design Patterns

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eduardo-sl
go-design-patterns

Idiomatic Go design patterns: functional options, builder, factory, strategy, middleware chain, pub/sub, and other patterns adapted for Go's type system. Use when: "design pattern", "functional options", "builder pattern", "factory pattern", "strategy pattern", "middleware chain", "option pattern", "how to structure this". Not for: interface design (go-interface-design), package layout (go-architecture-review), concurrency patterns (go-concurrency-review).

Overview

Publishereduardo-sl
Repositorygo-agent-skills
Skill namego-design-patterns
Stars
86
Forks
11
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by eduardo-sl on GitHub. Read the source before you install it.

Installation

Install the Go Design Patterns AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/eduardo-sl/go-agent-skills/tree/main/skills/(architecture)/go-design-patterns
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Use it in TypingMind

Enable Go Design Patterns in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Go Design Patterns on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Go Design Patterns is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Go Design Patterns

Go favors composition over inheritance and simplicity over abstraction. These patterns are idiomatic Go — not Java patterns ported to Go.

Community default. A project skill or agent-config rule that explicitly supersedes go-design-patterns takes precedence over this one.

Detailed reference material, loaded on demand:

  • references/creation-patterns.md — functional options (full example), options vs config struct, constructors, factory.
  • references/behavioral-patterns.md — strategy, middleware/decorator, result type, defer cleanup, sentinel vs zero values.
  • references/resilience-and-types.md — retry with jitter, circuit breaker, bulkhead, parse-don't-validate types, status types.

Read a reference file only when the summary below is not enough.

Pattern Selection

NeedPatternReference
Constructor with many optional settingsFunctional optionscreation-patterns.md
Config loaded from file/env, mostly required fieldsConfig structcreation-patterns.md
Enforce invariants at creationConstructor returning errorcreation-patterns.md
Pick implementation from runtime configFactory returning interfacecreation-patterns.md
Swap simple behavior at runtimeStrategy via function typebehavioral-patterns.md
Swap complex behavior at runtimeStrategy via interfacebehavioral-patterns.md
Wrap cross-cutting concerns (log, cache, metrics)Middleware / decoratorbehavioral-patterns.md
Value-or-error in concurrent pipelinesResult[T] structbehavioral-patterns.md
Transient failures of a dependencyRetry with backoff and jitterresilience-and-types.md
A dependency that is downCircuit breaker, bulkheadresilience-and-types.md
Validate once, trust afterwardsParse into a type with unexported fieldsresilience-and-types.md
Several booleans describing one lifecycleA status type with explicit transitionsresilience-and-types.md

1. Functional Options (essentials)

go
type Option func(*Server)

func WithAddr(addr string) Option {
    return func(s *Server) { s.addr = addr }
}

func NewServer(opts ...Option) *Server {
    s := &Server{
        addr:        ":8080", // sensible defaults first
        readTimeout: 5 * time.Second,
        logger:      slog.Default(),
    }
    for _, opt := range opts {
        opt(s)
    }
    return s
}

srv := NewServer(WithAddr(":9090"))

Use when: many optional parameters with sensible defaults, API evolves over time (new options don't break callers), options need validation. Use a plain config struct instead when most fields are required or the configuration is deserialized from file/env.

2. Constructor Rules

  • Every exported type with invariants needs a constructor.
  • Validate required dependencies; return an error, don't panic:
go
// ✅ Good — constructor enforces invariants
func NewUserService(repo UserRepository, logger *slog.Logger) (*UserService, error) {
    if repo == nil {
        return nil, errors.New("user service: nil repository")
    }
    return &UserService{repo: repo, logger: logger}, nil
}

// ❌ Bad — struct literal with no validation
svc := &UserService{} // nil dependencies → panic at runtime

3. Factory

Return the interface, not a concrete type. The factory is the only place that knows about concrete implementations:

go
func NewStore(cfg Config) (Store, error) {
    switch cfg.StoreType {
    case "redis":
        return newRedisStore(cfg.RedisAddr)
    case "memory":
        return newMemoryStore(), nil
    default:
        return nil, fmt.Errorf("unknown store type: %s", cfg.StoreType)
    }
}

4. Middleware Chain

The standard HTTP composition pattern:

go
type Middleware func(http.Handler) http.Handler

func Chain(handler http.Handler, middlewares ...Middleware) http.Handler {
    for i := len(middlewares) - 1; i >= 0; i-- {
        handler = middlewares[i](handler)
    }
    return handler
}

handler := Chain(appHandler, Recoverer, RequestID, Logger, Auth)

The same shape works for any interface: stack decorators as cache → logging → metrics → actual repo (see references/behavioral-patterns.md).

5. Zero Values First

Prefer types whose zero value is useful (sync.Mutex, bytes.Buffer, nil slices). Reach for sentinel wrappers or pointers only when the zero value is ambiguous as an input (nil *float64 = "not configured").

6. Resilience

  • Every outbound call has a deadline from ctx (go-context owns budgets).
  • Retry only what is safe to repeat, with exponential backoff and full jitter, a cap, and at one layer — nested retries multiply.
  • A circuit breaker fails fast while a dependency is down; use a maintained implementation, and degrade (cached value, partial response) when open.
  • A bulkhead (a semaphore per dependency) stops one slow dependency from absorbing every goroutine and connection.

7. Make Illegal States Unrepresentable

Parse input once into a type with unexported fields (ParseEmail → Email), so every function that receives it can trust it. Replace clusters of booleans (Paid, Shipped, Cancelled) with one status type and methods that check the transition.

Examples for sections 6-7: references/resilience-and-types.md.

Anti-Patterns to Avoid

go
// ❌ God interface — too many methods
type Service interface {
    GetUser(ctx context.Context, id string) (*User, error)
    CreateUser(ctx context.Context, u *User) error
    DeleteUser(ctx context.Context, id string) error
    ListOrders(ctx context.Context, userID string) ([]Order, error)
    // 20 more methods...
}
// → Split into focused interfaces: UserReader, UserWriter, OrderLister

// ❌ Premature abstraction — interface for one implementation
type UserCache interface {
    Get(key string) (*User, bool)
    Set(key string, user *User)
}
// If there's only ever one implementation, use the concrete type.
// Extract an interface when a second consumer or implementation appears.

// ❌ Java-style inheritance simulation
type BaseService struct{ /* ... */ }
type UserService struct{ BaseService } // embedding is NOT inheritance
// → Use composition: UserService has a dependency, not a parent.

Verification Checklist

  1. Functional options used for types with optional configuration
  2. Constructors validate required dependencies and return errors
  3. Factory functions return interfaces, not concrete types
  4. No god interfaces — each interface has 1-3 methods
  5. Middleware follows func(http.Handler) http.Handler signature
  6. Decorators wrap interfaces, not concrete types
  7. defer used for all resource cleanup (files, connections, locks)
  8. Zero values are meaningful — no unnecessary initialization
  9. No premature abstractions — interfaces extracted only when needed
  10. Composition used instead of embedding for code reuse
  11. Outbound calls have deadlines; retries are jittered, capped and at one layer
  12. Validated values and lifecycles are encoded in types, not re-checked or spread over booleans

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Go Design Patterns AI skill do?

Idiomatic Go design patterns: functional options, builder, factory, strategy, middleware chain, pub/sub, and other patterns adapted for Go's type system. Use when: "design pattern", "functional options", "builder pattern", "factory pattern", "strategy pattern", "middleware chain", "option pattern", "how to structure this". Not for: interface design (go-interface-design), package layout (go-architecture-review), concurrency patterns (go-concurrency-review).

Why use Go Design Patterns on TypingMind?

Because you install it once and use it with any model. Go Design Patterns is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Go Design Patterns in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/eduardo-sl/go-agent-skills/tree/main/skills/(architecture)/go-design-patterns. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Go Design Patterns?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Go Design Patterns?

As many as you like. As long as a model supports skills, you can use Go Design Patterns with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Go Design Patterns AI skill free?

Yes. It is published on GitHub by eduardo-sl under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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