Golang Dependency Injection
Samuel BertheCommunityCreated by samberDistributed by Samuel Berthe
- Skill
- Guidelines
- Software development
- MIT
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
This skill provides a structured approach to dependency injection (DI) in Go, emphasizing testability, loose coupling, and maintainable architecture. It guides developers through the transition from manual constructor injection to using DI libraries like google/wire, uber-go/dig, uber-go/fx, and samber/do. The skill includes best practices for service lifecycle management, interface-based design, and avoiding common anti-patterns like service locators or global state.
What it does
- Explains the benefits of DI for testability and loose coupling in Go applications.
- Provides a decision framework for choosing between manual injection and DI libraries.
- Offers best practices for constructor-based dependency wiring.
- Outlines strategies for refactoring tightly coupled codebases.
- Compares popular Go DI libraries based on project size, safety, and features.
- Provides guidance on mocking dependencies for unit and integration testing.
When to use it
- When designing the architecture for a new Go service or application.
- When refactoring legacy code that relies on global variables or hardcoded dependencies.
- When struggling with complex dependency chains or fragile initialization sequences.
- When evaluating whether to introduce a DI library or stick with manual wiring.
- When setting up test suites that require dependency mocking.
Advantages
- Promotes clean, testable, and modular Go code.
- Reduces coupling between components through interface-based design.
- Provides clear criteria for selecting the right DI approach based on project scale.
- Helps avoid common pitfalls like service locator anti-patterns.
- Supports incremental migration from manual wiring to automated DI containers.
Usage examples
- “How should I structure my Go project to make it more testable?”
- The agent will explain the benefits of dependency injection, recommend constructor-based injection, and provide examples of how to define interfaces for better testability.
- “I have 20+ services and manual wiring is getting messy. What should I do?”
- The agent will assess your current dependency graph and recommend a suitable DI library like uber-go/fx or samber/do, explaining the trade-offs of each.
- “How do I refactor code that uses global database connections?”
- The agent will guide you through moving the database connection into a constructor and injecting it as an interface, removing the global dependency.
- “Should I use google/wire or samber/do for my project?”
- The agent will compare the two based on your project's needs, such as whether you prefer compile-time code generation (wire) or generic-based runtime injection (do).
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/samber/golang-dependency-injection/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip golang-dependency-injection.zip -d .agents/skills
Documentation by samber
Persona: You are a Go software architect. You guide teams toward testable, loosely coupled designs — you choose the simplest DI approach that solves the problem, and you never over-engineer.
Orchestration mode: Fan out the three sub-agents described in Refactor mode (global/init discovery, concrete-dependency mapping, service-locator detection) when refactoring a large coupled codebase toward dependency injection, and consolidate into one migration plan. On Claude Code, use ultracode to opt into multi-agent orchestration explicitly.
Modes:
Design mode (new project, new service, or adding a service to an existing DI setup): assess the existing dependency graph and lifecycle needs; recommend manual injection or a library from the decision table; then generate the wiring code.
Refactor mode (existing coupled code): use up to 3 parallel sub-agents — Agent 1 identifies global variables and
init()service setup, Agent 2 maps concrete type dependencies that should become interfaces, Agent 3 locates service-locator anti-patterns (container passed as argument) — then consolidate findings and propose a migration plan.
Community default. A company skill that explicitly supersedes
samber/cc-skills-golang@golang-dependency-injectionskill takes precedence.
Dependency Injection in Go
Dependency injection (DI) means passing dependencies to a component rather than having it create or find them. In Go, this is how you build testable, loosely coupled applications — your services declare what they need, and the caller (or container) provides it.
This skill is not exhaustive. When using a DI library (google/wire, uber-go/dig, uber-go/fx, samber/do), refer to the library's official documentation and code examples for current API signatures.
For interface-based design foundations (accept interfaces, return structs), see the samber/cc-skills-golang@golang-structs-interfaces skill.
Best Practices Summary
Dependencies MUST be injected via constructors — NEVER use global variables or
init()for service setupSmall projects (< 10 services) SHOULD use manual constructor injection — no library needed
Interfaces MUST be defined where consumed, not where implemented — accept interfaces, return structs
NEVER use global registries or package-level service locators
The DI container MUST only exist at the composition root (
main()or app startup) — NEVER pass the container as a dependencyPrefer lazy initialization — only create services when first requested
Use singletons for stateful services (DB connections, caches) and transients for stateless ones
Mock at the interface boundary — DI makes this trivial
Keep the dependency graph shallow — deep chains signal design problems
Choose the right DI library for your project size and team — see the decision table below
Why Dependency Injection?
| Problem without DI | How DI solves it |
|---|---|
| Functions create their own dependencies | Dependencies are injected — swap implementations freely |
| Testing requires real databases, APIs | Pass mock implementations in tests |
| Changing one component breaks others | Loose coupling via interfaces — components don't know each other's internals |
| Services initialized everywhere | Centralized container manages lifecycle (singleton, factory, lazy) |
| All services loaded at startup | Lazy loading — services created only when first requested |
Global state and init() functions | Explicit wiring at startup — predictable, debuggable |
DI shines in applications with many interconnected services — HTTP servers, microservices, CLI tools with plugins. For a small script with 2-3 functions, manual wiring is fine. Don't over-engineer.
Manual Constructor Injection (No Library)
For small projects, pass dependencies through constructors. See Manual DI examples for a complete application example.
// ✓ Good — explicit dependencies, testable
type UserService struct {
db UserStore
mailer Mailer
logger *slog.Logger
}
func NewUserService(db UserStore, mailer Mailer, logger *slog.Logger) *UserService {
return &UserService{db: db, mailer: mailer, logger: logger}
}
// main.go — manual wiring
func main() {
logger := slog.Default()
db := postgres.NewUserStore(connStr)
mailer := smtp.NewMailer(smtpAddr)
userSvc := NewUserService(db, mailer, logger)
orderSvc := NewOrderService(db, logger)
api := NewAPI(userSvc, orderSvc, logger)
api.ListenAndServe(":8080")
}// ✗ Bad — hardcoded dependencies, untestable
type UserService struct {
db *sql.DB
}
func NewUserService() *UserService {
db, _ := sql.Open("postgres", os.Getenv("DATABASE_URL")) // hidden dependency
return &UserService{db: db}
}Manual DI breaks down when:
You have 15+ services with cross-dependencies
You need lifecycle management (health checks, graceful shutdown)
You want lazy initialization or scoped containers
Wiring order becomes fragile and hard to maintain
DI Library Comparison
Go has three main approaches to DI libraries:
google/wire examples — Compile-time code generation
uber-go/dig + fx examples — Reflection-based framework
samber/do examples — Generics-based, no code generation
Decision Table
| Criteria | Manual | google/wire | uber-go/dig + fx | samber/do |
|---|---|---|---|---|
| Project size | Small (< 10 services) | Medium-Large | Large | Any size |
| Type safety | Compile-time | Compile-time (codegen) | Runtime (reflection) | Compile-time (generics) |
| Code generation | None | Required (wire_gen.go) | None | None |
| Reflection | None | None | Yes | None |
| API style | N/A | Provider sets + build tags | Struct tags + decorators | Simple, generic functions |
| Lazy loading | Manual | N/A (all eager) | Built-in (fx) | Built-in |
| Singletons | Manual | Built-in | Built-in | Built-in |
| Transient/factory | Manual | Manual | Built-in | Built-in |
| Scopes/modules | Manual | Provider sets | Module system (fx) | Built-in (hierarchical) |
| Health checks | Manual | Manual | Manual | Built-in interface |
| Graceful shutdown | Manual | Manual | Built-in (fx) | Built-in interface |
| Container cloning | N/A | N/A | N/A | Built-in |
| Debugging | Print statements | Compile errors | fx.Visualize() | ExplainInjector(), web interface |
| Go version | Any | Any | Any | 1.18+ (generics) |
| Learning curve | None | Medium | High | Low |
Quick Comparison: Wiring Style
The same graph — Config -> Database -> UserStore -> UserService -> API — wired by hand and by a container. The contrast is what the wiring code encodes: an ordered call sequence you maintain, versus a set of providers the container orders for you.
// Manual — you own the order; adding a dependency means editing every call site downstream
cfg := NewConfig()
db := NewDatabase(cfg)
store := NewUserStore(db)
svc := NewUserService(store)
api := NewAPI(svc)
api.Run()
// No shutdown hooks, health checks, or lazy loading — add them yourself
// Container (samber/do) — order is derived from the constructor signatures
i := do.New()
do.Provide(i, NewConfig)
do.Provide(i, NewDatabase)
do.Provide(i, NewUserStore)
do.Provide(i, NewUserService)
api := do.MustInvoke[*API](i)
api.Run()
defer i.Shutdown() // shutdown and health checks come from the containergoogle/wire and uber-go/fx express the same graph differently: wire generates the manual sequence above at build time from a wire.Build provider list (cleanup via func() returned by providers, no lifecycle hooks), while fx registers providers with fx.Provide and resolves them by reflection at runtime with OnStart/OnStop hooks. Full wiring examples for each: google/wire, uber-go/dig + fx, samber/do.
Testing with DI
DI makes testing straightforward — inject mocks instead of real implementations:
// Define a mock
type MockUserStore struct {
users map[string]*User
}
func (m *MockUserStore) FindByID(ctx context.Context, id string) (*User, error) {
u, ok := m.users[id]
if !ok {
return nil, ErrNotFound
}
return u, nil
}
// Test with manual injection
func TestUserService_GetUser(t *testing.T) {
mock := &MockUserStore{
users: map[string]*User{"1": {ID: "1", Name: "Alice"}},
}
svc := NewUserService(mock, nil, slog.Default())
user, err := svc.GetUser(context.Background(), "1")
if err != nil {
t.Fatalf("unexpected error: %v", err)
}
if user.Name != "Alice" {
t.Errorf("got %q, want %q", user.Name, "Alice")
}
}Testing with samber/do — Clone and Override
Container cloning creates an isolated copy where you override only the services you need to mock:
func TestUserService_WithDo(t *testing.T) {
// Create a test injector with mock implementation
testInjector := do.New()
// Provide the mock UserStore interface
do.OverrideValue[UserStore](testInjector, &MockUserStore{
users: map[string]*User{"1": {ID: "1", Name: "Alice"}},
})
// Provide other real services as needed
do.Provide[*slog.Logger](testInjector, func(i *do.Injector) (*slog.Logger, error) {
return slog.Default(), nil
})
svc := do.MustInvoke[*UserService](testInjector)
user, err := svc.GetUser(context.Background(), "1")
// ... assertions
}This is particularly useful for integration tests where you want most services to be real but need to mock a specific boundary (database, external API, mailer).
When to Adopt a DI Library
| Signal | Action |
|---|---|
| < 10 services, simple dependencies | Stay with manual constructor injection |
| 10-20 services, some cross-cutting concerns | Consider a DI library |
| 20+ services, lifecycle management needed | Strongly recommended |
| Need health checks, graceful shutdown | Use a library with built-in lifecycle support |
| Team unfamiliar with DI concepts | Start manual, migrate incrementally |
Common Mistakes
| Mistake | Fix |
|---|---|
| Global variables as dependencies | Pass through constructors or DI container |
init() for service setup | Explicit initialization in main() or container |
| Depending on concrete types | Accept interfaces at consumption boundaries |
| Passing the container everywhere (service locator) | Inject specific dependencies, not the container |
| Deep dependency chains (A->B->C->D->E) | Flatten — most services should depend on repositories and config directly |
| Creating a new container per request | One container per application; use scopes for request-level isolation |
Cross-References
→ See
samber/cc-skills-golang@golang-samber-doskill for detailed samber/do usage patterns→ See
samber/cc-skills-golang@golang-structs-interfacesskill for interface design and composition→ See
samber/cc-skills-golang@golang-testingskill for testing with dependency injection→ See
samber/cc-skills-golang@golang-project-layoutskill for DI initialization placement
References
Files
- ATTRIBUTION.mdAdded by AutoGineer938 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md12.7 KiB
- evals/evals.json11.8 KiB
- references/google-wire.md2.4 KiB
- references/manual-di.md2.1 KiB
- references/samber-do.md1.6 KiB
- references/uber-dig-fx.md3.8 KiB
ATTRIBUTION.md
Attribution
This folder is an unmodified copy of the Agent Skill "golang-dependency-injection", distributed by AutoGineer (https://autogineer.com/agent-skills).
Commit: bb1d43d98a3f8ab639a0042f90d0ec524e39a477
Created by: samber (https://github.com/samber/cc-skills-golang/tree/bb1d43d98a3f8ab639a0042f90d0ec524e39a477/skills/golang-dependency-injection)
Publisher: Samuel Berthe (https://github.com/samber)
Licence: MIT License (https://spdx.org/licenses/MIT.html)
Licence evidence: declared in the frontmatter ("license: MIT")
Retrieved: 2026-11-07
The skill's own files are unmodified copies. AutoGineer is not affiliated with or endorsed by the author or the publisher.
Files added by AutoGineer
ATTRIBUTION.md: this file, written by AutoGineer
LICENSE: copied from LICENSE
Requirements and compatibility
Written for: Claude Code, OpenAI Codex
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Declares allowed tools, Claude Code frontmatter
The author says: Designed for Claude Code, Codex or similar harness, and for projects using Golang.
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Created by
- samber
- Publisher
- Samuel Berthe (Community)
- Distributed by
- Samuel Berthe
- Source
- samber/cc-skills-golang · skills/golang-dependency-injection · commit bb1d43d
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by samber or Samuel Berthe.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download golang-dependency-injection.zip