golang-patterns▌
affaan-m/everything-claude-code · updated Apr 23, 2026
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Idiomatic Go patterns, best practices, and conventions for building robust applications.
- ›Covers core principles including simplicity over cleverness, useful zero values, and accepting interfaces while returning concrete types
- ›Includes error handling patterns with wrapping, custom error types, and proper error checking using errors.Is and errors.As
- ›Provides concurrency patterns for worker pools, context-based cancellation, graceful shutdown, and goroutine leak prevention
- ›Addresses
Go Development Patterns
Idiomatic Go patterns and best practices for building robust, efficient, and maintainable applications.
When to Activate
- Writing new Go code
- Reviewing Go code
- Refactoring existing Go code
- Designing Go packages/modules
Core Principles
1. Simplicity and Clarity
Go favors simplicity over cleverness. Code should be obvious and easy to read.
// Good: Clear and direct
func GetUser(id string) (*User, error) {
user, err := db.FindUser(id)
if err != nil {
return nil, fmt.Errorf("get user %s: %w", id, err)
}
return user, nil
}
// Bad: Overly clever
func GetUser(id string) (*User, error) {
return func() (*User, error) {
if u, e := db.FindUser(id); e == nil {
return u, nil
} else {
return nil, e
}
}()
}
2. Make the Zero Value Useful
Design types so their zero value is immediately usable without initialization.
// Good: Zero value is useful
type Counter struct {
mu sync.Mutex
count int // zero value is 0, ready to use
}
func (c *Counter) Inc() {
c.mu.Lock()
c.count++
c.mu.Unlock()
}
// Good: bytes.Buffer works with zero value
var buf bytes.Buffer
buf.WriteString("hello")
// Bad: Requires initialization
type BadCounter struct {
counts map[string]int // nil map will panic
}
3. Accept Interfaces, Return Structs
Functions should accept interface parameters and return concrete types.
// Good: Accepts interface, returns concrete type
func ProcessData(r io.Reader) (*Result, error) {
data, err := io.ReadAll(r)
if err != nil {
return nil, err
}
return &Result{Data: data}, nil
}
// Bad: Returns interface (hides implementation details unnecessarily)
func ProcessData(r io.Reader) (io.Reader, error) {
// ...
}
Error Handling Patterns
Error Wrapping with Context
// Good: Wrap errors with context
func LoadConfig(path string) (*Config, error) {
data, err := os.ReadFile(path)
if err != nil {
return nil, fmt.Errorf("load config %s: %w", path, err)
}
var cfg Config
if err := json.Unmarshal(data, &cfg); err != nil {
return nil, fmt.Errorf("parse config %s: %w", path, err)
}
return &cfg, nil
}
Custom Error Types
// Define domain-specific errors
type ValidationError struct {
Field string
Message string
}
func (e *ValidationError) Error() string {
return fmt.Sprintf("validation failed on %s: %s", e.Field, e.Message)
}
// Sentinel errors for common cases
var (
ErrNotFound = errors.New("resource not found")
ErrUnauthorized = errors.New("unauthorized")
ErrInvalidInput = errors.New("invalid input")
)
Error Checking with errors.Is and errors.As
func HandleError(err error) {
// Check for specific error
if errors.Is(err, sql.ErrNoRows) {
log.Println("No records found")
return
}
// Check for error type
var validationErr *ValidationError
if errors.As(err, &validationErr) {
log.Printf("Validation error on field %s: %s",
validationErr.Field, validationErr.Message)
return
}
// Unknown error
log.Printf("Unexpected error: %v", err)
}
Never Ignore Errors
// Bad: Ignoring error with blank identifier
result, _ := doSomething()
// Good: Handle or explicitly document why it's safe to ignore
result, err := doSomething()
if err != nil {
return err
}
// Acceptable: When error truly doesn't matter (rare)
_ = writer.Close() // Best-effort cleanup, error logged elsewhere
Concurrency Patterns
Worker Pool
func WorkerPool(jobs <-chan Job, results chan<- Result, numWorkers int) {
var wg sync.WaitGroup
for i := 0; i < numWorkers; i++ {
wg.Add(1)
go func() {
defer wg.Done()
for job := range jobs {
results <- process(job)
}
how to use golang-patternsHow to use golang-patterns on Cursor
AI-first code editor with Composer
1Prerequisites
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 golang-patterns
2Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
$npx skills add https://github.com/affaan-m/everything-claude-code --skill golang-patternsThe skills CLI fetches golang-patterns from GitHub repository affaan-m/everything-claude-code and configures it for Cursor.
3Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
◆ Which agents do you want to install to?││ ── Universal (.agents/skills) ── always included ────│ • Amp│ • Antigravity│ • Cline│ • Codex│ ●Cursor(selected)│ • Cursor│ • Windsurf4Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/golang-patternsReload or restart Cursor to activate golang-patterns. Access the skill through slash commands (e.g., /golang-patterns) 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.
Additional Resources
List & Monetize Your Skill
Submit your Claude Code skill and start earning
GET_STARTED →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.
general reviewsRatings
4.7★★★★★47 reviews- ★★★★★Dhruvi Jain· Dec 24, 2024
golang-patterns is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Isabella Shah· Dec 24, 2024
Keeps context tight: golang-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ira Malhotra· Dec 16, 2024
Useful defaults in golang-patterns — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Ishan Chawla· Dec 12, 2024
Registry listing for golang-patterns matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Ira Ramirez· Nov 27, 2024
golang-patterns reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Oshnikdeep· Nov 15, 2024
Keeps context tight: golang-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Mei Li· Nov 15, 2024
golang-patterns is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Sophia Brown· Nov 7, 2024
We added golang-patterns from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Ira Li· Nov 3, 2024
golang-patterns fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Valentina Kim· Oct 26, 2024
Solid pick for teams standardizing on skills: golang-patterns is focused, and the summary matches what you get after install.
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