Golang Spf13 Cobra logo

Golang Spf13 Cobra

CommunityPopular
samber
golang-spf13-cobra

Golang CLI command tree library using spf13/cobra — cobra.Command, RunE vs Run, PersistentPreRunE hook chain, Args validators (NoArgs, ExactArgs, MatchAll, custom), persistent vs local flags, command groups, ValidArgsFunction, RegisterFlagCompletionFunc, ShellCompDirective, usage/help template customization, man-page and markdown doc generation, and testing with SetArgs/SetOut/SetErr. Apply when using or adopting spf13/cobra, or when the codebase imports `github.com/spf13/cobra`. For configuration layering alongside cobra, see the `samber/cc-skills-golang@golang-spf13-viper` skill. For general CLI architecture (project layout, exit codes, signal handling, I/O patterns), see `samber/cc-skills-golang@golang-cli`.

Overview

Publishersamber
Repositorycc-skills-golang
Skill namegolang-spf13-cobra
Stars
3.3K
Forks
213
Bundled files
6
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.

  • 6 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 Spf13 Cobra 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-spf13-cobra .claude/skills/golang-spf13-cobra
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Golang Spf13 Cobra 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 Spf13 Cobra 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 Spf13 Cobra 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 CLI engineer building command trees that feel native to the Unix shell. You design the user-facing surface first, then wire behavior into the right hook.

Modes:

  • Build — creating a new CLI from scratch: follow command tree setup, hook wiring, and flag sections sequentially.
  • Extend — adding subcommands, flags, or completions to an existing CLI: read the current command tree first, then apply changes consistent with the existing structure.
  • Review — auditing an existing CLI: check the Common Mistakes table, verify RunE usage, OutOrStdout(), hook chain ordering, and args validation.

Using spf13/cobra for CLI command trees in Go

Cobra is the de facto standard for Go CLI applications. It provides the command/subcommand tree, flag parsing (via pflag), args validation, shell completion generation, and documentation generation. It does not handle configuration layering — that's viper's job.

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 github.com/spf13/cobra@latest

Cobra vs. viper

These libraries do fundamentally different things and can be used independently.

Concerncobraviper
OwnsCommand tree, flags, arg validation, completionsConfiguration value resolution
User-facing?Yes — subcommands, flags, help textNo — purely a key-value resolver
Without the other?Yes — a CLI with flags only needs cobraYes — a daemon reading YAML + env needs only viper
Integration seamHands pflag.Flag to viper via BindPFlagTreats the cobra flag as the highest-precedence layer

Use cobra alone when your binary takes flags and args but needs no config file or env resolution. Use viper alone when you have a long-running service reading config from YAML + env with no CLI subcommands. Use both when you need both — bind at PersistentPreRunE on the root command.

→ See samber/cc-skills-golang@golang-spf13-viper for the viper side of this integration.

Command tree

Every cobra CLI has a root command plus zero or more subcommands registered with AddCommand. The root command name is the binary name.

go
var rootCmd = &cobra.Command{
    Use:          "myapp",
    Short:        "One-line summary",
    SilenceUsage: true,  // ✓ prevents usage wall on every error
    SilenceErrors: true, // ✓ lets you control error output format
}

Use AddGroup to label subcommands in help output — register groups before the AddCommand calls that reference them; cobra does not retroactively assign groups.

The Run* family

Cobra commands have five run hooks executed in order:

PersistentPreRunE → PreRunE → RunE → PostRunE → PersistentPostRunE

Always use *E variants — the non-E forms cannot return errors. Key rules:

  • PersistentPreRunE on the root runs before every subcommand — use it for config init and auth checks.
  • A child PersistentPreRunE replaces the parent's entirely — call the parent explicitly if you need both.
  • PostRunE runs only if RunE succeeded.

For the full lifecycle and inheritance rules, see commands-and-args.md.

Args validators

Cobra validates positional arguments before RunE runs. Never write len(args) checks inside RunE — that bypasses cobra's standard error messages and arg count tracking.

Built-ins: NoArgs, ExactArgs(n), MinimumNArgs(n), MaximumNArgs(n), RangeArgs(min,max), OnlyValidArgs, ExactValidArgs(n). Compose with MatchAll(v1, v2). Custom validator: func(cmd *cobra.Command, args []string) error.

For the full validator set with examples and MatchAll patterns, see commands-and-args.md.

Flags primer

Cobra delegates flag parsing to pflag. Persistent flags (PersistentFlags()) are inherited by all subcommands; local flags (Flags()) apply only to the declaring command.

go
rootCmd.PersistentFlags().StringVar(&cfgFile, "config", "", "config file path") // inherited by all subcommands
serveCmd.Flags().IntVar(&port, "port", 8080, "listen port")                     // local to serveCmd only
serveCmd.MarkFlagRequired("port")
serveCmd.MarkFlagsMutuallyExclusive("json", "yaml")

For pflag types, custom flag values, flag groups, and viper binding, see flags.md.

Completions primer

Cobra generates shell completions automatically. Extend them with:

  • ValidArgs []string — static positional arg completion.
  • ValidArgsFunction — dynamic: func(cmd, args, toComplete string) ([]string, ShellCompDirective). Return ShellCompDirectiveNoFileComp to suppress file fallback.
  • RegisterFlagCompletionFunc(name, fn) — flag value completion.

For ShellCompDirective values, annotations, and testing, see completions.md.

Testing commands

Test commands by executing them programmatically. Never use os.Stdout / os.Stderr directly in command handlers — use cmd.OutOrStdout() / cmd.ErrOrStderr() so tests can redirect output.

go
func TestServeCmd(t *testing.T) {
    buf := new(bytes.Buffer)
    rootCmd.SetOut(buf)
    rootCmd.SetArgs([]string{"serve", "--port", "9090"})
    require.NoError(t, rootCmd.Execute())
    assert.Contains(t, buf.String(), "listening on :9090")
}

Cobra accumulates flag state across Execute() calls — build a fresh command tree per test. For isolation patterns, golden files, and testing completions, see testing.md.

Best Practices

  1. Always use RunE, never RunRun cannot return an error; the only escape is os.Exit or panic, bypassing defers.
  2. Put config initialization in PersistentPreRunE — it runs before every subcommand; the right place for viper binding and auth checks.
  3. Validate positional args with Args, not inside RunEArgs gives cobra's standard error messages; MatchAll composes validators.
  4. Use cmd.OutOrStdout() / cmd.ErrOrStderr() for all output — direct os.Stdout writes cannot be captured by tests.
  5. Re-create the command tree per test — cobra accumulates flag state across Execute() calls on the same instance.

Common Mistakes

MistakeWhy it failsFix
Using Run instead of RunECannot return an error — only escape is os.Exit or panic, bypassing defersUse RunE — return the error, let cobra handle the exit
Writing len(args) checks in RunEBypasses cobra's standard error messages ("accepts 1 arg, received 2")Declare Args: cobra.ExactArgs(1) on the command
Writing to os.Stdout directlyTests cannot capture output — os-level file handles can't be redirectedUse cmd.OutOrStdout() / cmd.ErrOrStderr()
Child PersistentPreRunE silently drops parent'sCobra does not chain — the child replaces the parent's hook entirelyCall parent.PersistentPreRunE(cmd, args) from the child's hook
Reusing a root command across testsCobra accumulates flag state; second Execute() sees flags from the firstBuild a fresh command tree per test

Further Reading

  • commands-and-args.md — full PreRun*/PostRun* chain, every Args validator, PersistentPreRunE inheritance rules
  • flags.md — pflag types, required/exclusive/oneRequired groups, custom value types, viper binding
  • completions.md — ShellCompDirective set, annotation-based completions, testing completions
  • generators.md — man page, markdown, YAML, RST doc generation; cobra-cli scaffolder
  • testing.md — isolation patterns, golden files, testing completions, table-driven command tests

Cross-References

  • → See samber/cc-skills-golang@golang-cli skill for general CLI architecture — project layout, exit codes, signal handling, I/O patterns
  • → See samber/cc-skills-golang@golang-spf13-viper skill for configuration layering alongside cobra (flag → env → file → default precedence)
  • → See samber/cc-skills-golang@golang-testing skill for general Go testing patterns

If you encounter a bug or unexpected behavior in spf13/cobra, open an issue at https://github.com/spf13/cobra/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 Spf13 Cobra AI skill do?

Golang CLI command tree library using spf13/cobra — cobra.Command, RunE vs Run, PersistentPreRunE hook chain, Args validators (NoArgs, ExactArgs, MatchAll, custom), persistent vs local flags, command groups, ValidArgsFunction, RegisterFlagCompletionFunc, ShellCompDirective, usage/help template customization, man-page and markdown doc generation, and testing with SetArgs/SetOut/SetErr. Apply when using or adopting spf13/cobra, or when the codebase imports `github.com/spf13/cobra`. For configuration layering alongside cobra, see the `samber/cc-skills-golang@golang-spf13-viper` skill. For gene...

Why use Golang Spf13 Cobra on TypingMind?

Because you install it once and use it with any model. Golang Spf13 Cobra 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 Spf13 Cobra in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/samber/cc-skills-golang/tree/main/skills/golang-spf13-cobra. 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 Spf13 Cobra?

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 Spf13 Cobra?

As many as you like. As long as a model supports skills, you can use Golang Spf13 Cobra with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Golang Spf13 Cobra 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇