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Golang Uber Fx

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samber
golang-uber-fx

Golang application framework using uber-go/fx — fx.New, fx.Provide, fx.Invoke, fx.Module, fx.Lifecycle hooks, fx.Annotate (name/group/As), fx.Decorate, fx.Supply, fx.Replace, fx.WithLogger, and signal-aware Run(). Apply when using or adopting uber-go/fx, when the codebase imports `go.uber.org/fx`, or when wiring services with fx.New. For raw DI without lifecycle, see `samber/cc-skills-golang@golang-uber-dig` skill.

Overview

Publishersamber
Repositorycc-skills-golang
Skill namegolang-uber-fx
Stars
3.3K
Forks
213
Bundled files
4
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.

  • 4 bundled files

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

  • Open source

    Published by samber on GitHub. Read the source before you install it.

Installation

Install the Golang Uber Fx 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.
  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.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/samber/cc-skills-golang.git /tmp/cc-skills-golang
mkdir -p .claude/skills
cp -r /tmp/cc-skills-golang/skills/golang-uber-fx .claude/skills/golang-uber-fx
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Golang Uber Fx 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 Golang Uber Fx 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 Golang Uber Fx 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.

Persona: You are a Go architect building a long-running service with fx. You wire the graph at the composition root, push lifecycle into hooks instead of init(), and treat modules as the unit of reuse.

Using uber-go/fx for Application Wiring in Go

Application framework combining a reflection-based DI container (built on uber-go/dig) with a lifecycle, module system, signal-aware run loop, and structured event logging. For long-running services where boot order, graceful shutdown, and modular composition matter.

Official Resources:

This skill is not exhaustive — 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), preferred 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.
bash
go get go.uber.org/fx

fx vs. dig

fx is built on top of dig and shares the same reflection-based 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:

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 fx for long-running services (HTTP servers, workers, daemons) — lifecycle and signal handling are mandatory there, and modules make large service graphs manageable.

Choose raw dig when you need wiring without a framework: CLI tools, libraries that expose a container to callers, test harnesses, or embedding DI into an existing app that manages its own lifecycle. See samber/cc-skills-golang@golang-uber-dig skill.

The Application

go
import "go.uber.org/fx"

app := fx.New(
    fx.Provide(NewLogger, NewDatabase, NewServer),
    fx.Invoke(RegisterRoutes),
)
app.Run() // blocks until SIGINT/SIGTERM, then runs OnStop hooks

Boot stages: fx.New validates types (constructors do not run); app.Start(ctx) runs each fx.Invoke and fires OnStart hooks in topological order; main blocks on app.Done(); app.Stop(ctx) fires OnStop hooks in reverse order. Default timeout is 15 seconds — override with fx.StartTimeout / fx.StopTimeout.

Provide and Invoke

go
fx.New(
    fx.Provide(NewLogger, NewDatabase, NewServer),  // lazy
    fx.Invoke(RegisterRoutes, StartMetricsExporter), // always run during Start
)

fx.Provide registers constructors; fx.Invoke is the trigger — without an Invoke (directly or transitively) referencing a type, its constructor never runs.

Lifecycle Hooks

Inject fx.Lifecycle and append hooks. Constructors should return quickly; long-running work belongs in OnStart.

go
func NewHTTPServer(lc fx.Lifecycle, log *zap.Logger, cfg *Config) *http.Server {
    srv := &http.Server{Addr: cfg.Addr}

    lc.Append(fx.Hook{
        OnStart: func(ctx context.Context) error {
            ln, err := net.Listen("tcp", srv.Addr)
            if err != nil { return err }
            go srv.Serve(ln)         // blocking work in a goroutine
            return nil
        },
        OnStop: func(ctx context.Context) error {
            return srv.Shutdown(ctx)
        },
    })
    return srv
}

Both callbacks receive a context bounded by StartTimeout/StopTimeout — respect cancellation. OnStart must return quickly — spawn a goroutine for blocking work; otherwise startup hangs and dependent hooks never fire.

fx.StartHook / fx.StopHook / fx.StartStopHook adapt simpler signatures (no context, no error, or both):

go
lc.Append(fx.StartStopHook(srv.Start, srv.Stop))   // matched pair

Parameter and Result Objects

fx re-exports dig's dig.In / dig.Out as fx.In / fx.Out. Use them when a constructor has 4+ dependencies, or when you need name/group/optional tags.

go
type ServerParams struct {
    fx.In

    Logger *zap.Logger
    DB     *sql.DB
    Cache  *redis.Client     `optional:"true"`
    Routes []http.Handler    `group:"routes"`
}

func NewServer(p ServerParams) *Server { /* ... */ }

fx.Annotate

fx.Annotate wraps a constructor to add tags or interface bindings without a fx.Out struct. Prefer it for ergonomic name/group/As bindings:

go
fx.Provide(
    fx.Annotate(NewPrimaryDB, fx.ResultTags(`name:"primary"`)),
    fx.Annotate(NewPostgresDB, fx.As(new(Database))),    // expose interface
    fx.Annotate(NewUserHandler,
        fx.As(new(http.Handler)),
        fx.ResultTags(`group:"routes"`),
    ),
)

Value Groups

Many constructors, one consumer slice — typical for routes, health checks, metrics collectors:

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

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

Append ,flatten (group:"routes,flatten") to unwrap a slice instead of nesting it. Order is not guaranteed — provide an explicit ordered slice when sequence matters.

fx.Module

fx.Module groups providers, invokes, and decorators under a name. Modules scope decorators to themselves and their children — a logger renamed in fx.Module("db", ...) only appears renamed for code inside that module.

go
var DatabaseModule = fx.Module("database",
    fx.Provide(NewConnection, NewUserRepository),
    fx.Decorate(func(log *zap.Logger) *zap.Logger {
        return log.Named("db")
    }),
)

func main() {
    fx.New(
        fx.Provide(NewConfig, NewLogger),
        DatabaseModule,
        HTTPModule,
    ).Run()
}

Treat each module as a small library that can be lifted into another app — its public surface is the types it Provides.

For fx.Supply/fx.Replace/fx.Decorate, optional deps, custom logging, manual lifecycle, and Quick Reference, see advanced.md.

Best Practices

  1. Keep main() thin — providers, modules, and a single Run(). Push real work into modules so each can be tested in isolation.
  2. Use lifecycle hooks instead of init() or goroutines launched from constructors — Start/Stop ordering depends on graph topology, but init() goroutines do not, which leads to races and leaks.
  3. OnStart must return promptly — long work goes in a goroutine inside the hook. A blocking OnStart hangs the rest of the boot.
  4. Respect ctx.Done() in hooks — a hook that ignores cancellation is reported as a timeout failure but its goroutine continues, leaking resources.
  5. Group by module, not by layer — a module owns the providers, lifecycle, and decorators for one concern (HTTP, DB, metrics).
  6. Use fx.Annotate for tags rather than wrapping a constructor in an fx.Out struct — keeps the constructor reusable outside fx.
  7. Replace fx.Provide with fx.Supply for pre-built values (config, command-line flags). Shorter, signals intent.
  8. Validate the graph in CI by booting under fx.New(...).Err() — catches missing providers and cycles before deploy.

Common Mistakes

MistakeFix
Long-running work directly in OnStartSpawn a goroutine inside OnStart; the hook itself must return quickly so dependent hooks can run.
fx.Provide something that should be fx.SupplyPre-built values (config, secrets) belong in fx.Supply — clearer and avoids a no-op constructor.
Module decorator leaking to siblingsDecorate inside fx.Module(...) — decorators flow only to descendants. A top-level fx.Decorate is global.
Group order assumedGroups are unordered. If order matters, provide an ordered slice from one constructor.
Constructors with side effectsSide effects belong in OnStart — constructors should be cheap and pure-ish, since they may run concurrently and lazily.
Forgotten fx.InvokeWithout an Invoke (or downstream consumer), constructors never run. Add at least one Invoke per app.

Testing

Use go.uber.org/fx/fxtest to integrate fx with *testing.T (failures call t.Fatal, RequireStop registers as t.Cleanup). fx.Populate(&target) pulls values out of the graph; fx.Replace swaps real dependencies for fakes. Full patterns in testing.md.

Further Reading

  • advanced.md — Supply/Replace/Decorate, optional deps, custom event logging, manual lifecycle, full Quick Reference
  • recipes.md — full HTTP service with database/metrics, background workers with graceful drain, multiple impls of the same interface, manual lifecycle for CLI embedding
  • testing.md — fxtest patterns, fx.Replace, fx.Populate, isolated lifecycle tests, CI graph validation

Cross-References

  • → See samber/cc-skills-golang@golang-uber-dig skill for the underlying container, dig.In/dig.Out, and DI without lifecycle
  • → 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-context skill for context propagation in OnStart/OnStop hooks
  • → See samber/cc-skills-golang@golang-testing skill for general testing patterns

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

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 Golang Uber Fx AI skill do?

Golang application framework using uber-go/fx — fx.New, fx.Provide, fx.Invoke, fx.Module, fx.Lifecycle hooks, fx.Annotate (name/group/As), fx.Decorate, fx.Supply, fx.Replace, fx.WithLogger, and signal-aware Run(). Apply when using or adopting uber-go/fx, when the codebase imports `go.uber.org/fx`, or when wiring services with fx.New. For raw DI without lifecycle, see `samber/cc-skills-golang@golang-uber-dig` skill.

Why use Golang Uber Fx on TypingMind?

Because you install it once and use it with any model. Golang Uber Fx 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 Golang Uber Fx in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/samber/cc-skills-golang/tree/main/skills/golang-uber-fx. 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 Golang Uber Fx?

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 Golang Uber Fx?

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

Is the Golang Uber Fx AI skill free?

Yes. It is published on GitHub by samber 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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