golang-samber-do
Implements dependency injection in Golang using samber/do. Apply this skill when working with dependency injection, setting up service containers, managing service lifecycles, or when you see code using github.com/samber/do/v2. Also use when refactoring manual dependency injection, implementing health checks, graceful shutdown, or organizing services into scopes/modules.
Best use case
golang-samber-do is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Implements dependency injection in Golang using samber/do. Apply this skill when working with dependency injection, setting up service containers, managing service lifecycles, or when you see code using github.com/samber/do/v2. Also use when refactoring manual dependency injection, implementing health checks, graceful shutdown, or organizing services into scopes/modules.
Teams using golang-samber-do should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/golang-samber-do/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How golang-samber-do Compares
| Feature / Agent | golang-samber-do | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Implements dependency injection in Golang using samber/do. Apply this skill when working with dependency injection, setting up service containers, managing service lifecycles, or when you see code using github.com/samber/do/v2. Also use when refactoring manual dependency injection, implementing health checks, graceful shutdown, or organizing services into scopes/modules.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
**Persona:** You are a Go architect setting up dependency injection. You keep the container at the composition root, depend on interfaces not concrete types, and treat provider errors as first-class failures.
# Using samber/do for Dependency Injection in Go
Type-safe dependency injection toolkit for Go based on Go 1.18+ generics.
**Official Resources:**
- [pkg.go.dev/github.com/samber/do/v2](https://pkg.go.dev/github.com/samber/do/v2)
- [do.samber.dev](https://do.samber.dev)
- [github.com/samber/do/v2](https://github.com/samber/do)
This skill is not exhaustive. Please refer to library documentation and code examples for more information. Context7 can help as a discoverability platform.
DO NOT USE v1 OF THIS LIBRARY. INSTALL v2 INSTEAD:
```bash
go get -u github.com/samber/do/v2
```
## Core Concepts
### The Injector (Container)
```go
import "github.com/samber/do/v2"
injector := do.New()
```
### Service Types
- **Lazy** (default): Created when first requested
- **Eager**: Created immediately when the container starts
- **Transient**: New instance created on every request
- **Value**: Pre-created value, no instantiation
### Provider Functions
Services MUST be registered via provider functions:
```go
type Provider[T any] func(i Injector) (T, error)
```
## Basic Usage
### 1. Define and Register Services
Follow "Accept Interfaces, Return Structs":
```go
// Register a service (lazy by default)
do.Provide(injector, func(i do.Injector) (Database, error) {
return &PostgreSQLDatabase{connString: "postgres://..."}, nil
})
// Register a pre-created value
do.ProvideValue(injector, &Config{Port: 8080})
// Register a transient service (new instance each time)
do.ProvideTransient(injector, func(i do.Injector) (*Logger, error) {
return &Logger{}, nil
})
// Register an eager service (created immediately)
do.Provide(injector, do.Eager(&Config{Port: 8080}))
```
### 2. Invoke Services
The container MUST only be accessed at the composition root:
```go
// Invoke with error handling
db, err := do.Invoke[Database](injector)
// MustInvoke panics on error (use when confident service exists)
db := do.MustInvoke[Database](injector)
```
### 3. Service Dependencies
```go
func NewUserService(i do.Injector) (UserService, error) {
db := do.MustInvoke[Database](i)
cache := do.MustInvoke[Cache](i)
return &userService{db: db, cache: cache}, nil
}
do.Provide(injector, NewUserService)
```
### 4. Implicit Aliasing (Preferred)
Register a concrete type and invoke as an interface without explicit aliasing:
```go
// Register concrete type
do.Provide(injector, func(i do.Injector) (*PostgreSQLDatabase, error) {
return &PostgreSQLDatabase{}, nil
})
// Invoke directly as interface (implicit aliasing)
db := do.MustInvokeAs[Database](injector)
```
### 5. Named Services
Register multiple services of the same type:
```go
do.ProvideNamed(injector, "primary-db", func(i do.Injector) (*Database, error) {
return &Database{URL: "postgres://primary..."}, nil
})
mainDB := do.MustInvokeNamed[*Database](injector, "primary-db")
```
## Package Organization
Use `do.Package()` to organize service registration by module:
```go
// infrastructure/package.go
var Package = do.Package(
do.Lazy(func(i do.Injector) (*postgres.DB, error) {
cfg := do.MustInvoke[*Config](i)
return postgres.Connect(cfg.DatabaseURL)
}),
do.Lazy(func(i do.Injector) (*redis.Client, error) {
cfg := do.MustInvoke[*Config](i)
return redis.NewClient(cfg.RedisURL), nil
}),
)
// main.go
injector := do.New(infrastructure.Package, service.Package)
```
## Full Application Setup
```go
func main() {
injector := do.New(
infrastructure.Package,
repository.Package,
service.Package,
transport.Package,
)
server := do.MustInvoke[*http.Server](injector)
go server.ListenAndServe()
_ = injector.ShutdownOnSignalsWithContext(context.Background(), os.Interrupt)
}
```
## Best Practices
1. Depend on interfaces, not concrete types — lets you swap implementations in tests without touching production code
2. Each service should have one job — services with multiple responsibilities are harder to test and harder to replace
3. Keep dependency trees shallow — chains beyond 3-4 levels make initialization order fragile and errors harder to trace
4. Handle errors in provider functions — a silently failing provider creates a broken service that crashes later in unexpected places
5. Use scopes to organize services by lifecycle — request-scoped services prevent leaks, global services prevent redundant initialization
For scopes, lifecycle management, struct injection, and debugging, see [Advanced Usage](./references/advanced.md).
For testing patterns (cloning, overrides, mocks), see [Testing](./references/testing.md).
## Quick Reference
### Registration
| Function | Purpose |
| ------------------------------- | -------------------------------- |
| `do.Provide[T]()` | Register lazy service (default) |
| `do.ProvideNamed[T]()` | Register named lazy service |
| `do.ProvideValue[T]()` | Register pre-created value |
| `do.ProvideNamedValue[T]()` | Register named value |
| `do.ProvideTransient[T]()` | Register new instance each time |
| `do.ProvideNamedTransient[T]()` | Register named transient service |
| `do.Package()` | Group service registrations |
### Invocation
| Function | Purpose |
| -------------------------- | ----------------------------------------- |
| `do.Invoke[T]()` | Get service (with error) |
| `do.InvokeNamed[T]()` | Get named service |
| `do.InvokeAs[T]()` | Get first service matching interface |
| `do.InvokeStruct[T]()` | Inject into struct fields using tags |
| `do.MustInvoke[T]()` | Get service (panic on error) |
| `do.MustInvokeNamed[T]()` | Get named service (panic on error) |
| `do.MustInvokeAs[T]()` | Get service by interface (panic on error) |
| `do.MustInvokeStruct[T]()` | Inject into struct (panic on error) |
## Cross-References
- → See `samber/cc-skills-golang@golang-dependency-injection` skill for DI concepts, comparison, and when to adopt a DI library
- → See `samber/cc-skills-golang@golang-structs-interfaces` skill for interface design patterns
- → See `samber/cc-skills-golang@golang-testing` skill for general testing patternsRelated Skills
golang-troubleshooting
Troubleshoot Golang programs systematically - find and fix the root cause. Use when encountering bugs, crashes, deadlocks, or unexpected behavior in Go code. Covers debugging methodology, common Go pitfalls, test-driven debugging, pprof setup and capture, Delve debugger, race detection, GODEBUG tracing, and production debugging. Start here for any 'something is wrong' situation. Not for interpreting profiles or benchmarking (see golang-benchmark skill) or applying optimization patterns (see golang-performance skill).
golang-testing
Provides a comprehensive guide for writing production-ready Golang tests. Covers table-driven tests, test suites with testify, mocks, unit tests, integration tests, benchmarks, code coverage, parallel tests, fuzzing, fixtures, goroutine leak detection with goleak, snapshot testing, memory leaks, CI with GitHub Actions, and idiomatic naming conventions. Use this whenever writing tests, asking about testing patterns or setting up CI for Go projects. Essential for ANY test-related conversation in Go.
golang-structs-interfaces
Golang struct and interface design patterns — composition, embedding, type assertions, type switches, interface segregation, dependency injection via interfaces, struct field tags, and pointer vs value receivers. Use this skill when designing Go types, defining or implementing interfaces, embedding structs or interfaces, writing type assertions or type switches, adding struct field tags for JSON/YAML/DB serialization, or choosing between pointer and value receivers. Also use when the user asks about "accept interfaces, return structs", compile-time interface checks, or composing small interfaces into larger ones.
golang-stretchr-testify
Comprehensive guide to stretchr/testify for Golang testing. Covers assert, require, mock, and suite packages in depth. Use whenever writing tests with testify, creating mocks, setting up test suites, or choosing between assert and require. Essential for testify assertions, mock expectations, argument matchers, call verification, suite lifecycle, and advanced patterns like Eventually, JSONEq, and custom matchers. Trigger on any Go test file importing testify.
golang-stay-updated
Provides resources to stay updated with Golang news, communities and people to follow. Use when seeking Go learning resources, discovering new libraries, finding community channels, or keeping up with Go language changes and releases.
golang-security
Security best practices and vulnerability prevention for Golang. Covers injection (SQL, command, XSS), cryptography, filesystem safety, network security, cookies, secrets management, memory safety, and logging. Apply when writing, reviewing, or auditing Go code for security, or when working on any risky code involving crypto, I/O, secrets management, user input handling, or authentication. Includes configuration of security tools.
golang-samber-slog
Structured logging extensions for Golang using samber/slog-**** packages — multi-handler pipelines (slog-multi), log sampling (slog-sampling), attribute formatting (slog-formatter), HTTP middleware (slog-fiber, slog-gin, slog-chi, slog-echo), and backend routing (slog-datadog, slog-sentry, slog-loki, slog-syslog, slog-logstash, slog-graylog...). Apply when using or adopting slog, or when the codebase already imports any github.com/samber/slog-* package.
golang-samber-ro
Reactive streams and event-driven programming in Golang using samber/ro — ReactiveX implementation with 150+ type-safe operators, cold/hot observables, 5 subject types (Publish, Behavior, Replay, Async, Unicast), declarative pipelines via Pipe, 40+ plugins (HTTP, cron, fsnotify, JSON, logging), automatic backpressure, error propagation, and Go context integration. Apply when using or adopting samber/ro, when the codebase imports github.com/samber/ro, or when building asynchronous event-driven pipelines, real-time data processing, streams, or reactive architectures in Go. Not for finite slice transforms (-> See golang-samber-lo skill).
golang-samber-oops
Structured error handling in Golang with samber/oops — error builders, stack traces, error codes, error context, error wrapping, error attributes, user-facing vs developer messages, panic recovery, and logger integration. Apply when using or adopting samber/oops, or when the codebase already imports github.com/samber/oops.
golang-samber-mo
Monadic types for Golang using samber/mo — Option, Result, Either, Future, IO, Task, and State types for type-safe nullable values, error handling, and functional composition with pipeline sub-packages. Apply when using or adopting samber/mo, when the codebase imports `github.com/samber/mo`, or when considering functional programming patterns as a safety design for Golang.
golang-samber-lo
Functional programming helpers for Golang using samber/lo — 500+ type-safe generic functions for slices, maps, channels, strings, math, tuples, and concurrency (Map, Filter, Reduce, GroupBy, Chunk, Flatten, Find, Uniq, etc.). Core immutable package (lo), concurrent variants (lo/parallel aka lop), in-place mutations (lo/mutable aka lom), lazy iterators (lo/it aka loi for Go 1.23+), and experimental SIMD (lo/exp/simd). Apply when using or adopting samber/lo, when the codebase imports github.com/samber/lo, or when implementing functional-style data transformations in Go. Not for streaming pipelines (→ See golang-samber-ro skill).
golang-samber-hot
In-memory caching in Golang using samber/hot — eviction algorithms (LRU, LFU, TinyLFU, W-TinyLFU, S3FIFO, ARC, TwoQueue, SIEVE, FIFO), TTL, cache loaders, sharding, stale-while-revalidate, missing key caching, and Prometheus metrics. Apply when using or adopting samber/hot, when the codebase imports github.com/samber/hot, or when the project repeatedly loads the same medium-to-low cardinality resources at high frequency and needs to reduce latency or backend pressure.