golang-design-patterns▌
samber/cc-skills-golang · updated Apr 8, 2026
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Persona: You are a Go architect who values simplicity and explicitness. You apply patterns only when they solve a real problem — not to demonstrate sophistication — and you push back on premature abstraction.
Persona: You are a Go architect who values simplicity and explicitness. You apply patterns only when they solve a real problem — not to demonstrate sophistication — and you push back on premature abstraction.
Modes:
- Design mode — creating new APIs, packages, or application structure: ask the developer about their architecture preference before proposing patterns; favor the smallest pattern that satisfies the requirement.
- Review mode — auditing existing code for design issues: scan for
init()abuse, unbounded resources, missing timeouts, and implicit global state; report findings before suggesting refactors.
Community default. A company skill that explicitly supersedes
samber/cc-skills-golang@golang-design-patternsskill takes precedence.
Go Design Patterns & Idioms
Idiomatic Go patterns for production-ready code. For error handling details see the samber/cc-skills-golang@golang-error-handling skill; for context propagation see samber/cc-skills-golang@golang-context skill; for struct/interface design see samber/cc-skills-golang@golang-structs-interfaces skill.
Best Practices Summary
- Constructors SHOULD use functional options — they scale better as APIs evolve (one function per option, no breaking changes)
- Functional options MUST return an error if validation can fail — catch bad config at construction, not at runtime
- Avoid
init()— runs implicitly, cannot return errors, makes testing unpredictable. Use explicit constructors - Enums SHOULD start at 1 (or Unknown sentinel at 0) — Go's zero value silently passes as the first enum member
- Error cases MUST be handled first with early return — keep happy path flat
- Panic is for bugs, not expected errors — callers can handle returned errors; panics crash the process
defer Close()immediately after opening — later code changes can accidentally skip cleanupruntime.AddCleanupoverruntime.SetFinalizer— finalizers are unpredictable and can resurrect objects- Every external call SHOULD have a timeout — a slow upstream hangs your goroutine indefinitely
- Limit everything (pool sizes, queue depths, buffers) — unbounded resources grow until they crash
- Retry logic MUST check context cancellation between attempts
- Use
strings.Builderfor concatenation in loops → seesamber/cc-skills-golang@golang-code-style - string vs []byte: use
[]bytefor mutation and I/O,stringfor display and keys — conversions allocate - Iterators (Go 1.23+): use for lazy evaluation — avoid loading everything into memory
- Stream large transfers — loading millions of rows causes OOM; stream keeps memory constant
//go:embedfor static assets — embeds at compile time, eliminates runtime file I/O errors- Use
crypto/randfor keys/tokens —math/randis predictable → seesamber/cc-skills-golang@golang-security - Regexp MUST be compiled once at package level — compilation is O(n) and allocates
- Compile-time interface checks:
var _ Interface = (*Type)(nil) - A little recode > a big dependency — each dep adds attack surface and maintenance burden
- Design for testability — accept interfaces, inject dependencies
Constructor Patterns: Functional Options vs Builder
Functional Options (Preferred)
type Server struct {
addr string
readTimeout time.Duration
writeTimeout time.Duration
maxConns int
}
type Option func(*Server)
func WithReadTimeout(d time.Duration) Option {
return func(s *Server) { s.readTimeout = d }
}
func WithWriteTimeout(d time.Duration) Option {
return func(s *Server) { s.writeTimeout = d }
}
func WithMaxConns(n int) Option {
return func(s *Server) { s.maxConns = n }
}
func NewServer(addr string, opts ...Option) *Server {
// Default options
s := &Server{
addr: addr,
readTimeout: 5 * time.Second,
writeTimeout: 10 * time.Second,
maxConns: 100,
}
for _, opt := range opts {
opt(s)
}
return s
}
// Usage
srv := NewServer(":8080",
WithReadTimeout(30*time.Second),
WithMaxConns(500),
)
Constructors SHOULD use functional options — they scale better with API evolution and require less code. Use builder pattern only if you need complex validation between configuration steps.
Constructors & Initialization
Avoid init() and Mutable Globals
init() runs implicitly, makes testing harder, and creates hidden dependencies:
- Multiple
init()functions run in declaration order, across files in filename alphabetical order — fragile - Cannot return errors — failures must panic or
log.Fatal - Runs before
main()and tests — side effects make tests unpredictable
// Bad — hidden global state
var db *sql.DB
func init() {
var err error
db, err = sql.Open("postgres", os.Getenv("DATABASE_URL"))
if err != nil {
log.Fatal(err)
}
}
// Good — explicit initialization, injectable
func NewUserRepository(db *sql.DB) *UserRepository {
return &UserRepository{db: db}
}
Enums: Start at 1
Zero values should represent invalid/unset state:
type Status int
const (
StatusUnknown Status = iota // 0 = invalid/unset
StatusActive // 1
StatusInactive // 2
StatusSuspended // 3
)
Compile Regexp Once
// Good — compiled once at package level
var emailRegex = regexp.MustCompile(`^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$`)
func ValidateEmail(email string) bool {
return emailRegex.MatchString(email)
}
Use //go:embed for Static Assets
import "embed"
//go:embed templates/*
var templateFS embed.FS
//go:embed version.txt
var version string
Compile-Time Interface Checks
→ See samber/cc-skills-golang@golang-structs-interfaces for the var _ Interface = (*Type)(nil) pattern.
Error Flow Patterns
Error cases MUST be handled first with early return — keep the happy path at minimal indentation. → See samber/cc-skills-golang@golang-code-style for the full pattern and examples.
When to Panic vs Return Error
- Return error: network failures, file not found, invalid input — anything a caller can handle
- Panic: nil pointer in a place that should be impossible, violated invariant,
Must*constructors used at init time .Close()errors: acceptable to not check —defer f.Close()is fine without error handling
Data Handling
string vs []byte vs []rune
| Type | Default for | Use when |
|---|---|---|
string |
Everything | Immutable, safe, UTF-8 |
[]byte |
I/O | Writing to io.Writer, building strings, mutations |
[]rune |
Unicode ops | len() must mean characters, not bytes |
Avoid repeated conversions — each one allocates. Stay in one type until you need the other.
Iterators & Streaming for Large Data
Use iterators (Go 1.23+) and streaming patterns to process large datasets without loading everything into memory. For large transfers between services (e.g., 1M rows DB to HTTP), stream to prevent OOM.
For code examples, see Data Handling Patterns.
Resource Management
defer Close() immediately after opening — don't wait, don't forget:
f, err := os.Open(path)
if err != nil {
return err
}
defer f.Close() // right here, not 50 lines later
rows, err := db.QueryContext(ctx, query)
if err != nil {
return err
}
defer rows.Close()
For graceful shutdown, resource pools, and runtime.AddCleanup, see Resource Management.
Resilience & Limits
Timeout Every External Call
ctx, cancel := context.WithTimeout(ctx, 5*time.Second)
defer cancel()
resp, err := httpClient.Do(req.WithContext(ctx))
Retry & Context Checks
Retry logic MUST check ctx.Err() between attempts and use exponential/linear backoff via select on ctx.Done(). Long loops MUST check ctx.Err() periodically. → See samber/cc-skills-golang@golang-context skill.
Database Patterns
→ See samber/cc-skills-golang@golang-database skill for sqlx/pgx, transactions, nullable columns, connection pools, repository interfaces, testing.
Architecture
Ask the developer which architecture they prefer: clean architecture, hexagonal, DDD, or flat layout. Don't impose complex architecture on a small project.
Core principles regardless of architecture:
- Keep domain pure — no framework dependencies in the domain layer
- Fail fast — validate at boundaries, trust internal code
- Make illegal states unrepresentable — use types to enforce invariants
- Respect 12-factor app principles — → see
How to use golang-design-patterns 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 golang-design-patterns
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches golang-design-patterns from GitHub repository samber/cc-skills-golang 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 golang-design-patterns. Access the skill through slash commands (e.g., /golang-design-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.
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
4.5★★★★★52 reviews- ★★★★★Shikha Mishra· Dec 24, 2024
golang-design-patterns has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Aditi Singh· Dec 24, 2024
Registry listing for golang-design-patterns matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Layla Sharma· Dec 24, 2024
golang-design-patterns has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Amelia Martin· Dec 20, 2024
Useful defaults in golang-design-patterns — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Amelia White· Dec 12, 2024
Useful defaults in golang-design-patterns — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sakshi Patil· Nov 23, 2024
Solid pick for teams standardizing on skills: golang-design-patterns is focused, and the summary matches what you get after install.
- ★★★★★Benjamin Gill· Nov 23, 2024
Solid pick for teams standardizing on skills: golang-design-patterns is focused, and the summary matches what you get after install.
- ★★★★★Yash Thakker· Nov 15, 2024
Keeps context tight: golang-design-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Chen Iyer· Nov 15, 2024
golang-design-patterns reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Aanya Garcia· Nov 15, 2024
Keeps context tight: golang-design-patterns is the kind of skill you can hand to a new teammate without a long onboarding doc.
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