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Golang Uber Dig

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Streamline dependency injection in Go applications.

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What Golang Uber Dig does

Golang Uber Dig is a skill designed to facilitate dependency injection in Go applications using the uber-go/dig library. This library employs reflection-based techniques to create a container for managing dependencies, allowing developers to wire application components efficiently. The skill is particularly useful for architects and developers who want to keep their codebase clean by depending on interfaces rather than concrete types, thus promoting better testing and modularity in their applications.

With this skill, users can leverage the core features of uber-go/dig, including the ability to register constructors with the Provide method, invoke services with Invoke, and manage complex dependencies using parameter and result objects. By utilizing dig.In and dig.Out, developers can easily group dependencies and return multiple values from constructors, enhancing code clarity and organization. The skill also supports named values and value groups, which help disambiguate dependencies and facilitate the consumption of multiple providers.

This skill is particularly beneficial when building CLI tools, libraries, or applications that require a clean separation of concerns without the overhead of lifecycle management. For long-running services that require lifecycle hooks and signal handling, users are encouraged to explore the complementary samber/cc-skills-golang@golang-uber-fx skill, which builds on top of dig. Overall, Golang Uber Dig is an essential tool for Go developers looking to implement robust dependency injection patterns in their applications.

When to use it

Use this skill when you need to implement dependency injection in Go applications that utilize the uber-go/dig library, especially for CLI tools or libraries.

When not to use it

Avoid this skill if you require lifecycle management and signal handling, as it does not provide those features; consider using the fx skill instead.

What you can build with it

Building a CLI Tool

Use Golang Uber Dig to manage dependencies in a command-line application, ensuring a clean architecture.

Creating a Library

Implement dependency injection in a Go library, allowing users to easily integrate your library with their own applications.

Wiring Application Components

Utilize this skill to wire various components of a Go application, improving modularity and testability.

How to install Golang Uber Dig

View source

1. Install with the skills CLI

npx skills add samber/cc-skills-golang/golang-uber-dig --agent claude-code

2. Or install it manually

Download the skill folder and drop it into ~/.claude/skills/ for all projects, or .claude/skills/ to scope it to one repo. Restart Claude Code so it picks up the new skill.

Anthropic's agentic coding CLI, and the reference implementation of Agent Skills. Drop a skill folder into ~/.claude/skills and Claude Code loads it automatically whenever a task matches the skill's description. Claude Code docs

Inside SKILL.md

Written by samber

Persona: You are a Go architect wiring an application graph with dig. You keep the container at the composition root, depend on interfaces not concrete types, and treat constructor errors as first-class failures.

Using uber-go/dig for Dependency Injection in Go

Reflection-based DI toolkit, designed to power application frameworks (it is the engine behind uber-go/fx) and resolve object graphs during startup.

Official Resources:

This skill is not exhaustive. Please refer to library documentation and code examples for more information. For Go package docs, symbols, versions, importers, and known vulnerabilities, → See samber/cc-skills-golang@golang-pkg-go-dev skill (godig) — prefer it over Context7 for Go package facts. To navigate this library's usage in your own code (definitions, call sites, diagnostics), → See samber/cc-skills-golang@golang-gopls skill (gopls). Context7 remains a fallback for docs not indexed on pkg.go.dev.

go get go.uber.org/dig

dig vs. fx

fx is built on dig and shares the same container engine — the DI primitives (Provide, Invoke, In/Out structs, named values, value groups) are identical. fx.In/fx.Out are re-exports of dig.In/dig.Out.

What fx adds on top of dig:

Concerndigfx
DI containerdig.New()✅ (embedded)
Lifecycle hooksfx.Lifecycle OnStart/OnStop
Module systemfx.Module with scoped decorators
Signal-aware run loopapp.Run() blocks on SIGINT/SIGTERM
Structured event loggingfx.WithLogger / fxevent
Startup/shutdown timeoutfx.StartTimeout / fx.StopTimeout

Choose dig when you need the wiring graph only: CLI tools, libraries exposing a container to callers, test harnesses, or embedding DI into an existing app that manages its own lifecycle.

Choose fx for long-running services (HTTP servers, workers, daemons) — lifecycle and signal handling are non-negotiable there. See samber/cc-skills-golang@golang-uber-fx skill.

Container

import "go.uber.org/dig"

c := dig.New()

Useful options: dig.DeferAcyclicVerification() (faster startup), dig.RecoverFromPanics() (turn panics into dig.PanicError), dig.DryRun(true) (validate without invoking).

Provide and Invoke

// Register a constructor — lazy, only runs when its output is needed
err := c.Provide(func(cfg *Config) (*sql.DB, error) {
    return sql.Open("postgres", cfg.DSN)
})

// Pull a service out of the container by asking for it as a function parameter
err = c.Invoke(func(db *sql.DB) error {
    return db.Ping()
})

Constructors are lazy and memoized: each output type is built once and shared (singleton per container). Provide errors at registration if the constructor is malformed; Invoke returns the constructor's error wrapped with the dependency path that triggered it.

A dig constructor is any function. Inputs are dependencies, outputs are provided types. error (last return) signals construction failure. Follow "accept interfaces, return structs".

Parameter Objects with dig.In

Once a constructor has 4+ dependencies, embed dig.In to group them as struct fields and tag fields:

type HandlerParams struct {
    dig.In

    Logger *zap.Logger
    DB     *sql.DB
    Cache  *redis.Client `optional:"true"`           // zero value if not provided
    DBRO   *sql.DB       `name:"readonly"`           // named dependency
    Routes []http.Handler `group:"routes"`           // value group
}

func NewHandler(p HandlerParams) *Handler { /* ... */ }

Tags: name:"...", optional:"true", group:"...".

Result Objects with dig.Out

Return several values from one constructor and attach name/group tags to results:

type ConnResult struct {
    dig.Out

    ReadWrite *sql.DB `name:"primary"`
    ReadOnly  *sql.DB `name:"readonly"`
}

func NewConnections(cfg *Config) (ConnResult, error) { /* ... */ }

Named Values

Two providers of the same type collide. Disambiguate with dig.Name:

c.Provide(NewPrimaryDB,  dig.Name("primary"))
c.Provide(NewReadOnlyDB, dig.Name("readonly"))

Consume by adding name:"primary" / name:"readonly" to a dig.In field.

Value Groups

Many providers, one consumer slice — typical for HTTP handlers, health checks, migrations:

type RouteResult struct {
    dig.Out
    Handler http.Handler `group:"routes"`
}

func NewUserHandler(db *sql.DB) RouteResult { /* ... */ }
func NewPostHandler(db *sql.DB) RouteResult { /* ... */ }

type ServerParams struct {
    dig.In
    Routes []http.Handler `group:"routes"`
}

Flatten — append ,flatten (e.g. group:"routes,flatten") to unwrap a slice instead of nesting it. Group order is not guaranteed; if order matters, provide an explicit ordered slice from a single constructor.

Provide as Interface (dig.As)

Register a concrete constructor and expose it under one or more interfaces without a separate adapter:

c.Provide(NewPostgresDB, dig.As(new(Database), new(io.Closer)))
// Consumers ask for Database or io.Closer; *PostgresDB stays hidden.

Full Application Example

func main() {
    c := dig.New()

    must(c.Provide(NewConfig))
    must(c.Provide(NewLogger))
    must(c.Provide(NewDatabase))
    must(c.Provide(NewServer))

    err := c.Invoke(func(srv *http.Server) error {
        return srv.ListenAndServe()
    })
    if err != nil {
        log.Fatal(err)
    }
}

func must(err error) { if err != nil { panic(err) } }

dig has no built-in lifecycle. If you need OnStart/OnStop hooks, signal handling, and graceful shutdown, use fx — see samber/cc-skills-golang@golang-uber-fx skill.

For Decorate, Scopes, optional deps, error helpers, and Visualize, see advanced.md.

Best Practices

  1. Keep the container at the composition root — never pass *dig.Container as a parameter; treat it like a plumbing detail of main(). Service-locator patterns defeat the testability gains of DI.
  2. Depend on interfaces, not concrete types — lets you swap implementations in tests without touching production code, and lets you use dig.As to expose narrow interfaces from wide structs.
  3. Prefer parameter objects (dig.In structs) once a constructor has 4+ dependencies — call sites stay readable and adding a new dependency is a one-line change instead of a signature break.
  4. Group registration by module (one file per module that calls c.Provide for its types) — review and refactoring become a per-module concern, and you can extract a module into a fx.Module later without rewriting wiring.
  5. Validate the graph eagerly in tests — call c.Invoke against the composition root in CI to surface missing providers at boot time, not at first request. DryRun(true) skips constructor execution.
  6. Return errors from constructors instead of panicking — dig wraps them with the dependency path, which makes the failure point obvious.

Common Mistakes

MistakeFix
Passing the container into servicesThe container belongs to main(). Inject the typed dependencies a service needs; otherwise tests need to build a real container.
Two providers for the same type without Namedig errors at Provide time. Either name them, or merge into a single provider that returns a dig.Out result struct.
Ignoring Provide errorsWrap each Provide with a must helper. A silent registration error becomes a missing-type error far later.
Using groups when ordering mattersGroups are unordered. If order matters (middleware chain, migration sequence), provide an explicit ordered slice with one constructor.
Constructors with side effects on importKeep init() empty — start work only inside the constructor, after the graph is built.

Testing

dig containers are cheap — build a fresh one per test, override providers with Decorate, and call Invoke to drive the system. For full patterns (per-test wiring, shared helpers, graph validation in CI, asserting wire-time errors, recovering from constructor panics), see testing.md.

Further Reading

  • advanced.md — Decorate, Scopes, optional deps, error helpers, Visualize, full Quick Reference
  • recipes.md — end-to-end examples: HTTP server with route group, two databases, request scopes, decorators, dry-run validation
  • testing.md — testing patterns and graph validation

Cross-References

  • → See samber/cc-skills-golang@golang-uber-fx skill for application lifecycle, modules, and signal-aware Run() built on top of dig
  • → See samber/cc-skills-golang@golang-dependency-injection skill for DI concepts and library comparison
  • → See samber/cc-skills-golang@golang-samber-do skill for a generics-based alternative without reflection
  • → See samber/cc-skills-golang@golang-google-wire skill for compile-time DI (no runtime container)
  • → See samber/cc-skills-golang@golang-structs-interfaces skill for interface design patterns
  • → See samber/cc-skills-golang@golang-testing skill for general testing patterns

If you encounter a bug or unexpected behavior in uber-go/dig, open an issue at https://github.com/uber-go/dig/issues.

Frequently asked questions about Golang Uber Dig

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