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Golang Cli

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samber
golang-cli

Golang CLI application development. Use when building, modifying, or reviewing a Go CLI tool — especially for command structure, flag handling, configuration layering, version embedding, exit codes, I/O patterns, signal handling, shell completion, argument validation, and CLI unit testing. Also triggers when code uses cobra, viper, or urfave/cli. For cobra-specific APIs → See `samber/cc-skills-golang@golang-spf13-cobra` skill; for viper configuration layering → See `samber/cc-skills-golang@golang-spf13-viper` skill.

Overview

Publishersamber
Repositorycc-skills-golang
Skill namegolang-cli
Stars
3.3K
Forks
213
Bundled files
13
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.

  • 13 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 Cli 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-cli .claude/skills/golang-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Golang Cli 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 Cli 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 Cli 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. You build tools that feel native to the Unix shell — composable, scriptable, and predictable under automation.

Modes:

  • Build — creating a new CLI from scratch: follow the project structure, root command setup, flag binding, and version embedding 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 for correctness: check the Common Mistakes table, verify SilenceUsage/SilenceErrors, flag-to-Viper binding, exit codes, and stdout/stderr discipline.

Go CLI Best Practices

Use Cobra + Viper as the default stack for Go CLI applications. Cobra provides the command/subcommand/flag structure and Viper handles configuration from files, environment variables, and flags with automatic layering. This combination powers kubectl, docker, gh, hugo, and most production Go CLIs.

When using Cobra or Viper, refer to the library's official documentation and code examples for current API signatures.

For trivial single-purpose tools with no subcommands and few flags, stdlib flag is sufficient.

Quick Reference

ConcernPackage / Tool
Commands & flagsgithub.com/spf13/cobra
Configurationgithub.com/spf13/viper
Flag parsinggithub.com/spf13/pflag (via Cobra)
Colored outputgithub.com/fatih/color
Table outputgithub.com/olekukonko/tablewriter
Interactive promptsgithub.com/charmbracelet/bubbletea
Version injectiongo build -ldflags
Distributiongoreleaser

Project Structure

Organize CLI commands in cmd/myapp/ with one file per command. Keep main.go minimal — it only calls Execute().

myapp/
├── cmd/
│   └── myapp/
│       ├── main.go              # package main, only calls Execute()
│       ├── root.go              # Root command + Viper init
│       ├── serve.go             # "serve" subcommand
│       ├── migrate.go           # "migrate" subcommand
│       └── version.go           # "version" subcommand
├── go.mod
└── go.sum

main.go should be minimal — see assets/examples/main.go.

Root Command Setup

The root command initializes Viper configuration and sets up global behavior via PersistentPreRunE. See assets/examples/root.go.

Key points:

  • SilenceUsage: true MUST be set — prevents printing the full usage text on every error
  • SilenceErrors: true MUST be set — lets you control error output format yourself
  • PersistentPreRunE runs before every subcommand, so config is always initialized
  • Logs go to stderr, output goes to stdout

Subcommands

Add subcommands by creating separate files in cmd/myapp/ and registering them in init(). See assets/examples/serve.go for a complete subcommand example including command groups.

Flags

See assets/examples/flags.go for all flag patterns:

Persistent vs Local

  • Persistent flags are inherited by all subcommands (e.g., --config)
  • Local flags only apply to the command they're defined on (e.g., --port)

Required Flags

Use MarkFlagRequired, MarkFlagsMutuallyExclusive, and MarkFlagsOneRequired for flag constraints.

Flag Validation with RegisterFlagCompletionFunc

Provide completion suggestions for flag values.

Always Bind Flags to Viper

This ensures viper.GetInt("port") returns the flag value, env var MYAPP_PORT, or config file value — whichever has highest precedence.

Argument Validation

Cobra provides built-in validators for positional arguments. See assets/examples/args.go for both built-in and custom validation examples.

ValidatorDescription
cobra.NoArgsFails if any args provided
cobra.ExactArgs(n)Requires exactly n args
cobra.MinimumNArgs(n)Requires at least n args
cobra.MaximumNArgs(n)Allows at most n args
cobra.RangeArgs(min, max)Requires between min and max
cobra.ExactValidArgs(n)Exactly n args, must be in ValidArgs

Configuration with Viper

Viper resolves configuration values in this order (highest to lowest precedence):

  1. CLI flags (explicit user input)
  2. Environment variables (deployment config)
  3. Config file (persistent settings)
  4. Defaults (set in code)

See assets/examples/config.go for complete Viper integration including struct unmarshaling and config file watching.

Example Config File (.myapp.yaml)

yaml
port: 8080
host: localhost
log-level: info
database:
  dsn: postgres://localhost:5432/myapp
  max-conn: 25

With the setup above, these are all equivalent:

  • Flag: --port 9090
  • Env var: MYAPP_PORT=9090
  • Config file: port: 9090

Version and Build Info

Version SHOULD be embedded at compile time using ldflags. See assets/examples/version.go for the version command and build instructions.

Exit Codes

Exit codes MUST follow Unix conventions:

CodeMeaningWhen to Use
0SuccessOperation completed normally
1General errorRuntime failure
2Usage errorInvalid flags or arguments
64-78BSD sysexitsSpecific error categories
126Cannot executePermission denied
127Command not foundMissing dependency
128+NSignal NTerminated by signal (e.g., 130 = SIGINT)

See assets/examples/exit_codes.go for a pattern mapping errors to exit codes.

I/O Patterns

See assets/examples/output.go for all I/O patterns:

  • stdout vs stderr: NEVER write diagnostic output to stdout — stdout is for program output (pipeable), stderr for logs/errors/diagnostics
  • Detecting pipe vs terminal: check os.ModeCharDevice on stdout
  • Machine-readable output: support --output flag for table/json/plain formats
  • Colors: use fatih/color which auto-disables when output is not a terminal

Signal Handling

Signal handling MUST use signal.NotifyContext to propagate cancellation through context. See assets/examples/signal.go for graceful HTTP server shutdown.

Shell Completions

Cobra generates completions for bash, zsh, fish, and PowerShell automatically. See assets/examples/completion.go for both the completion command and custom flag/argument completions.

Testing CLI Commands

Test commands by executing them programmatically and capturing output. See assets/examples/cli_test.go.

Use cmd.OutOrStdout() and cmd.ErrOrStderr() in commands (instead of os.Stdout / os.Stderr) so output can be captured in tests.

Common Mistakes

MistakeFix
Writing to os.Stdout directlyTests can't capture output. Use cmd.OutOrStdout() which tests can redirect to a buffer
Calling os.Exit() inside RunECobra's error handling, deferred functions, and cleanup code never run. Return an error, let main() decide
Not binding flags to ViperFlags won't be configurable via env/config. Call viper.BindPFlag for every configurable flag
Missing viper.SetEnvPrefixPORT collides with other tools. Use a prefix (MYAPP_PORT) to namespace env vars
Logging to stdoutUnix pipes chain stdout — logs corrupt the data stream for the next program. Logs go to stderr
Printing usage on every errorFull help text on every error is noise. Set SilenceUsage: true, save full usage for --help
Config file requiredUsers without a config file get a crash. Ignore viper.ConfigFileNotFoundError — config should be optional
Not using PersistentPreRunEConfig initialization must happen before any subcommand. Use root's PersistentPreRunE
Hardcoded version stringVersion gets out of sync with tags. Inject via ldflags at build time from git tags
Not supporting --output formatScripts can't parse human-readable output. Add JSON/table/plain for machine consumption

Related Skills

See samber/cc-skills-golang@golang-project-layout, samber/cc-skills-golang@golang-dependency-injection, samber/cc-skills-golang@golang-testing, samber/cc-skills-golang@golang-design-patterns skills.

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 Cli AI skill do?

Golang CLI application development. Use when building, modifying, or reviewing a Go CLI tool — especially for command structure, flag handling, configuration layering, version embedding, exit codes, I/O patterns, signal handling, shell completion, argument validation, and CLI unit testing. Also triggers when code uses cobra, viper, or urfave/cli. For cobra-specific APIs → See `samber/cc-skills-golang@golang-spf13-cobra` skill; for viper configuration layering → See `samber/cc-skills-golang@golang-spf13-viper` skill.

Why use Golang Cli on TypingMind?

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

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

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 Cli?

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

Is the Golang Cli 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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