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Go Dependency Injection

Community
eduardo-sl
go-dependency-injection

Dependency injection in Go: constructor injection, wiring in main, avoiding global state, and when frameworks (wire, fx, dig) earn their complexity. Use when: "dependency injection", "wire up dependencies", "inject this", "remove global state", "singleton in Go", "use google/wire", "uber fx", "make this testable". Not for: interface design (go-interface-design), directory structure (go-project-layout), test doubles and mocks (go-test-quality).

Overview

Publishereduardo-sl
Repositorygo-agent-skills
Skill namego-dependency-injection
Stars
86
Forks
11
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Go Dependency Injection 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-dependency-injection
  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 Dependency Injection 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 Dependency Injection 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 Dependency Injection 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 Dependency Injection

DI in Go is a pattern, not a framework: pass dependencies to constructors, wire everything explicitly in main. Reach for a framework only when manual wiring measurably hurts.

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

1. Constructor Injection — the Default

go
// ✅ Good — dependencies are explicit parameters
type OrderService struct {
    repo     OrderRepository
    payments PaymentGateway
    logger   *slog.Logger
}

func NewOrderService(repo OrderRepository, payments PaymentGateway, logger *slog.Logger) *OrderService {
    return &OrderService{repo: repo, payments: payments, logger: logger}
}

// ❌ Bad — hidden dependencies reached through globals
func (s *OrderService) Place(ctx context.Context, o Order) error {
    db := database.Get()        // global singleton
    log.Printf("placing order") // global logger
    // untestable without touching process-wide state
}

Rules:

  • Accept interfaces for dependencies the service calls; return the concrete type from the constructor.
  • Every dependency visible in the signature — if the list feels long, the type does too much (split it), don't hide deps to shorten it.
  • Validate required deps in the constructor and return an error (or accept a nil-safe default, e.g. logger = slog.Default()).

2. The Composition Root

All wiring lives in one place — main (or a run function it calls). Construction order is the dependency order, checked by the compiler:

go
func run(ctx context.Context, cfg Config) error {
    db, err := store.Open(ctx, cfg.DatabaseURL)
    if err != nil {
        return fmt.Errorf("open db: %w", err)
    }
    defer db.Close()

    orderRepo := store.NewOrderRepo(db)
    payments := stripe.NewGateway(cfg.StripeKey)
    logger := slog.New(slog.NewJSONHandler(os.Stdout, nil))

    orders := service.NewOrderService(orderRepo, payments, logger)
    server := handler.NewServer(cfg.Addr, orders)

    return server.ListenAndServe(ctx)
}
  • No package builds its own dependencies; it receives them.
  • No init() wiring, no package-level var DB *sql.DB.
  • Two binaries needing different wiring = two mains, same components.

3. Eliminating Global State

go
// ❌ Before — package-level singleton
var defaultClient *api.Client

func Fetch(id string) (*Item, error) {
    return defaultClient.Get(id)
}

// ✅ After — the dependency moves into a struct
type Fetcher struct {
    client *api.Client
}

func NewFetcher(c *api.Client) *Fetcher { return &Fetcher{client: c} }

func (f *Fetcher) Fetch(id string) (*Item, error) {
    return f.client.Get(id)
}

Migration path for a legacy codebase: introduce the struct, keep a deprecated package-level wrapper delegating to one instance built in main, move callers over, delete the wrapper.

Acceptable package-level state: pure constants, compiled regexps, sync.Once-guarded process singletons that hold no config.

4. Function Dependencies for Small Seams

A full interface is overkill for one function — inject the function:

go
type Service struct {
    now     func() time.Time
    genID   func() string
    publish func(ctx context.Context, e Event) error
}

// Production: Service{now: time.Now, genID: uuid.NewString, publish: bus.Publish}
// Test:       Service{now: fixedTime, genID: constID, publish: capture}

5. When Frameworks Earn Their Complexity

Manual wiring scales further than expected — a 100-line run function is still readable and compiler-checked. Consider a tool when wiring crosses hundreds of components or many teams share one binary.

ToolModelTrade-off
google/wireCompile-time code generationWiring stays plain Go and compiler-checked; adds a codegen step
uber-go/fxRuntime container + lifecycleApp lifecycle (start/stop hooks) managed; errors surface at runtime, magic in stack traces
uber-go/digRuntime container (fx's core)Same runtime trade-offs, no lifecycle layer

Decision rule: prefer manual wiring; if generation becomes necessary prefer wire (failures at compile time beat failures at startup); adopt fx only when you also want its lifecycle management and your team accepts the runtime container.

Never mix models: one composition root, one mechanism.

6. Wire Example (when chosen)

go
//go:build wireinject

func InitializeServer(cfg Config) (*handler.Server, error) {
    wire.Build(
        store.Open,
        store.NewOrderRepo,
        stripe.NewGateway,
        service.NewOrderService,
        handler.NewServer,
    )
    return nil, nil // replaced by generated code
}

wire generates the ordered constructor calls; the generated file is committed and reviewed like handwritten code.

Verification Checklist

  1. Every service/handler receives dependencies via constructor parameters
  2. No package-level mutable singletons (var DB, var logger, Get() accessors)
  3. All wiring concentrated in main/run — no init() construction
  4. Dependencies accepted as interfaces (or funcs), concrete types returned
  5. Constructors validate required dependencies
  6. Components testable by passing fakes — no process-global setup in tests
  7. If a DI tool is used: exactly one, at the composition root only
  8. go build ./... passes — wiring errors surface at compile time

Frequently asked questions

What does the Go Dependency Injection AI skill do?

Dependency injection in Go: constructor injection, wiring in main, avoiding global state, and when frameworks (wire, fx, dig) earn their complexity. Use when: "dependency injection", "wire up dependencies", "inject this", "remove global state", "singleton in Go", "use google/wire", "uber fx", "make this testable". Not for: interface design (go-interface-design), directory structure (go-project-layout), test doubles and mocks (go-test-quality).

Why use Go Dependency Injection on TypingMind?

Because you install it once and use it with any model. Go Dependency Injection 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 Dependency Injection 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-dependency-injection. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Go Dependency Injection?

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 Dependency Injection?

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

Is the Go Dependency Injection 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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