go-style-core▌
cxuu/golang-skills · updated Apr 8, 2026
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When writing readable Go code, apply these principles in order of importance:
Go Style Core Principles
Style Principles (Priority Order)
When writing readable Go code, apply these principles in order of importance:
Priority Order
- Clarity — Can a reader understand the code without extra context?
- Simplicity — Is this the simplest way to accomplish the goal?
- Concision — Does every line earn its place?
- Maintainability — Will this be easy to modify later?
- Consistency — Does it match surrounding code and project conventions?
Read references/PRINCIPLES.md when resolving conflicts between clarity, simplicity, and concision, or when you need concrete examples of how each principle applies in real Go code.
Formatting
Run gofmt — no exceptions. There is no rigid line length limit, but Uber suggests a soft limit of 99 characters. Break by semantics, not length — refactor rather than just wrap.
Read references/FORMATTING.md when configuring gofmt, deciding on line breaks, applying MixedCaps rules, or resolving local consistency questions.
Reduce Nesting
Handle error cases and special conditions first. Return early or continue the loop to keep the "happy path" unindented.
// Bad: Deeply nested
for _, v := range data {
if v.F1 == 1 {
v = process(v)
if err := v.Call(); err == nil {
v.Send()
} else {
return err
}
} else {
log.Printf("Invalid v: %v", v)
}
}
// Good: Flat structure with early returns
for _, v := range data {
if v.F1 != 1 {
log.Printf("Invalid v: %v", v)
continue
}
v = process(v)
if err := v.Call(); err != nil {
return err
}
v.Send()
}
Unnecessary Else
If a variable is set in both branches of an if, use default + override pattern.
// Bad: Setting in both branches
var a int
if b {
a = 100
} else {
a = 10
}
// Good: Default + override
a := 10
if b {
a = 100
}
Naked Returns
A return statement without arguments returns the named return values. This is
known as a "naked" return.
func split(sum int) (x, y int) {
x = sum * 4 / 9
y = sum - x
return // returns x, y
}
Guidelines for Naked Returns
- OK in small functions: Naked returns are fine in functions that are just a handful of lines
- Be explicit in medium+ functions: Once a function grows to medium size, be explicit with return values for clarity
- Don't name results just for naked returns: Clarity of documentation is always more important than saving a line or two
// Good: Small function, naked return is clear
func minMax(a, b int) (min, max int) {
if a < b {
min, max = a, b
} else {
min, max = b, a
}
return
}
// Good: Larger function, explicit return
func processData(data []byte) (result []byte, err error) {
result = make([]byte, 0, len(data))
for _, b := range data {
if b == 0 {
return nil, errors.New("null byte in data")
}
result = append(result, transform(b))
}
return result, nil // explicit: clearer in longer functions
}
See go-documentation for guidance on Named Result Parameters.
Semicolons
Go's lexer automatically inserts semicolons after any line whose last token is
an identifier, literal, or one of: break continue fallthrough return ++ -- ) }.
This means opening braces must be on the same line as the control structure:
// Good: brace on same line
if i < f() {
g()
}
// Bad: brace on next line — lexer inserts semicolon after f()
if i < f() // wrong!
{ // wrong!
g()
}
Idiomatic Go only has explicit semicolons in for loop clauses and to separate
multiple statements on a single line.
Quick Reference
| Principle | Key Question |
|---|---|
| Clarity | Can a reader understand what and why? |
| Simplicity | Is this the simplest approach? |
| Concision | Is the signal-to-noise ratio high? |
| Maintainability | Can this be safely modified later? |
| Consistency | Does this match surrounding code? |
Related Skills
- Naming conventions: See go-naming when applying MixedCaps, choosing identifier names, or resolving naming debates
- Error flow: See go-error-handling when structuring error-first guard clauses or reducing nesting via early returns
- Documentation: See go-documentation when writing doc comments, named return parameters, or package-level docs
- Linting enforcement: See go-linting when automating style checks with golangci-lint or configuring CI
- Code review: See go-code-review when applying style principles during a systematic code review
- Logging style: See go-logging when reviewing logging practices, choosing between log and slog, or structuring log output
How to use go-style-core on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add go-style-core
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches go-style-core from GitHub repository cxuu/golang-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate go-style-core. Access the skill through slash commands (e.g., /go-style-core) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ Use When
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid When
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★68 reviews- ★★★★★Ganesh Mohane· Dec 28, 2024
We added go-style-core from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Kabir Sharma· Dec 28, 2024
go-style-core fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Benjamin Mensah· Dec 8, 2024
Useful defaults in go-style-core — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Shikha Mishra· Dec 4, 2024
I recommend go-style-core for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Isabella Huang· Dec 4, 2024
go-style-core is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Layla Reddy· Nov 27, 2024
I recommend go-style-core for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Chinedu Tandon· Nov 27, 2024
Solid pick for teams standardizing on skills: go-style-core is focused, and the summary matches what you get after install.
- ★★★★★Yash Thakker· Nov 23, 2024
Useful defaults in go-style-core — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Isabella Rahman· Nov 23, 2024
Keeps context tight: go-style-core is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Layla Thomas· Nov 19, 2024
Registry listing for go-style-core matched our evaluation — installs cleanly and behaves as described in the markdown.
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