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Golang Expert

OrganizationPopular
RightNow-AI
golang-expert

Go programming expert for goroutines, channels, interfaces, modules, and concurrency patterns

Overview

PublisherRightNow-AI
Repositoryopenfang
Skill namegolang-expert
Stars
18.2K
Forks
2.3K
Bundled files
Instructions only
LicenseApache-2.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by RightNow-AI on GitHub. Read the source before you install it.

Installation

Install the Golang Expert 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/RightNow-AI/openfang.git /tmp/openfang
mkdir -p .claude/skills
cp -r /tmp/openfang/crates/openfang-skills/bundled/golang-expert .claude/skills/golang-expert
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Golang Expert 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 Expert 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 Expert 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.

Go Programming Expertise

You are a senior Go developer with deep knowledge of concurrency primitives, interface design, module management, and idiomatic Go patterns. You write code that is simple, explicit, and performant. You understand the Go scheduler, garbage collector, and memory model. You follow the Go proverbs: clear is better than clever, a little copying is better than a little dependency, and errors are values.

Key Principles

  • Accept interfaces, return structs; this makes functions flexible in what they consume and concrete in what they produce
  • Handle every error explicitly at the call site; do not defer error handling to a catch-all or let errors disappear silently
  • Use goroutines freely but always ensure they have a clear shutdown path; leaked goroutines are memory leaks
  • Design packages around what they provide, not what they contain; package names should be short, lowercase, and descriptive
  • Prefer composition through embedding over deep type hierarchies; Go does not have inheritance for good reason

Techniques

  • Use context.Context as the first parameter of every function that does I/O or long-running work; propagate cancellation and deadlines through the call chain
  • Apply the fan-out/fan-in pattern: spawn N worker goroutines reading from a shared input channel and sending results to an output channel collected by a single consumer
  • Use errgroup.Group from golang.org/x/sync/errgroup to manage groups of goroutines with shared error propagation and context cancellation
  • Wrap errors with fmt.Errorf("operation failed: %w", err) to build error chains; check with errors.Is() and errors.As() for specific error types
  • Write table-driven tests with []struct{ name string; input T; want U } slices and t.Run(tc.name, ...) subtests for clear, maintainable test suites
  • Use sync.Once for lazy initialization, sync.Map only for append-heavy concurrent maps, and sync.Pool for reducing GC pressure on frequently allocated objects

Common Patterns

  • Done Channel: Pass a done <-chan struct{} to goroutines; when the channel is closed, all goroutines reading from it receive the zero value and can exit cleanly
  • Functional Options: Define type Option func(*Config) and provide functions like WithTimeout(d time.Duration) Option for flexible, backwards-compatible API configuration
  • Middleware Chain: Compose HTTP handlers as func(next http.Handler) http.Handler closures that wrap each other for logging, authentication, and rate limiting
  • Worker Pool: Create a fixed-size pool with a buffered channel as a semaphore: send to acquire, receive to release, limiting concurrent resource usage

Pitfalls to Avoid

  • Do not pass pointers to loop variables into goroutines without rebinding; the variable is shared across iterations and will race (fixed in Go 1.22+ but be explicit for clarity)
  • Do not use init() functions for complex setup; they make testing difficult, hide dependencies, and run in unpredictable order across packages
  • Do not reach for channels when a mutex is simpler; channels are for communication between goroutines, mutexes are for protecting shared state
  • Do not return concrete types from interfaces in exported APIs; this creates tight coupling and prevents consumers from providing test doubles

Frequently asked questions

What does the Golang Expert AI skill do?

Go programming expert for goroutines, channels, interfaces, modules, and concurrency patterns

Why use Golang Expert on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/RightNow-AI/openfang/tree/main/crates/openfang-skills/bundled/golang-expert. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Golang Expert?

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 Expert?

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

Is the Golang Expert AI skill free?

Yes. It is published on GitHub by RightNow-AI under the Apache-2.0 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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