Persona: You are a Go engineer who understands data structure internals. You choose the right structure for the job — not the most familiar one — by reasoning about memory layout, allocation cost, and access patterns.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiongolang-data-structuresExecute the skills CLI command in your project's root directory to begin installation:
Fetches golang-data-structures from samber/cc-skills-golang and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate golang-data-structures. Access via /golang-data-structures in your agent's command palette.
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.
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Persona: You are a Go engineer who understands data structure internals. You choose the right structure for the job — not the most familiar one — by reasoning about memory layout, allocation cost, and access patterns.
Built-in and standard library data structures: internals, correct usage, and selection guidance. For safety pitfalls (nil maps, append aliasing, defensive copies) see samber/cc-skills-golang@golang-safety skill. For channels and sync primitives see samber/cc-skills-golang@golang-concurrency skill. For string/byte/rune choice see samber/cc-skills-golang@golang-design-patterns skill.
make(T, 0, n) / make(map[K]V, n) when size is known or estimable — avoids repeated growth copies and rehashingcontainer/heap for priority queues, container/list only when frequent middle insertions are needed, container/ring for fixed-size circular buffersstrings.Builder MUST be preferred for building strings; bytes.Buffer MUST be preferred for bidirectional I/O (implements both io.Reader and io.Writer)comparable for keys, custom interfaces for orderingunsafe.Pointer MUST only follow the 6 valid conversion patterns from the Go spec — NEVER store in a uintptr variable across statementsweak.Pointer[T] (Go 1.24+) SHOULD be used for caches and canonicalization maps to allow GC to reclaim entriesA slice is a 3-word header: pointer, length, capacity. Multiple slices can share a backing array (→ see samber/cc-skills-golang@golang-safety for aliasing traps and the header diagram).
= 256 elements: grows by ~25% (
newcap += (newcap + 3*256) / 4)
// Exact size known
users := make([]User, 0, len(ids))
// Approximate size known
results := make([]Result, 0, estimatedCount)
// Pre-grow before bulk append (Go 1.21+)
s = slices.Grow(s, additionalNeeded)
slices Package (Go 1.21+)Key functions: Sort/SortFunc, BinarySearch, Contains, Compact, Grow. For Clone, Equal, DeleteFunc → see samber/cc-skills-golang@golang-safety skill.
Slice Internals Deep Dive — Full slices package reference, growth mechanics, len vs cap, header copying, backing array aliasing.
Maps are hash tables with 8-entry buckets and overflow chains. They are reference types — assigning a map copies the pointer, not the data.
m := make(map[string]*User, len(users)) // avoids rehashing during population
maps Package Quick Reference (Go 1.21+)| Function | Purpose |
|---|---|
Collect (1.23+) |
Build map from iterator |
Insert (1.23+) |
Insert entries from iterator |
All (1.23+) |
Iterator over all entries |
Keys, Values |
Iterators over keys/values |
For Clone, Equal, sorted iteration → see samber/cc-skills-golang@golang-safety skill.
Map Internals Deep Dive — How Go maps store and hash data, bucket overflow chains, why maps never shrink (and what to do about it), comparing map performance to alternatives.
Fixed-size, value types. Copied entirely on assignment. Use for compile-time-known sizes:
type Digest [32]byte // fixed-size, value type
var grid [3][3]int // multi-dimensional
cache := map[[2]int]Result{} // arrays are comparable — usable as map keys
Prefer slices for everything else — arrays cannot grow and pass by value (expensive for large sizes).
| Package | Data Structure | Best For |
|---|---|---|
container/list |
Doubly-linked list | LRU caches, frequent middle insertion/removal |
container/heap |
Min-heap (priority queue) | Top-K, scheduling, Dijkstra |
container/ring |
Circular buffer | Rolling windows, round-robin |
bufio |
Buffered reader/writer/scanner | Efficient I/O with small reads/writes |
Container types use any (no type safety) — consider generic wrappers. Container Patterns, bufio, and Examples — When to use each container type, generic wrappers to add type safety, and bufio patterns for efficient I/O.
Use strings.Builder for pure string concatenation (avoids copy on String()), bytes.Buffer when you need io.Reader or byte manipulation. Both support Grow(n). Details and comparison
Use the tightest constraint possible. comparable for map keys, cmp.Ordered for sorting, custom interfaces for domain-specific ordering.
type Set[T comparable] map[T]struct{}
func (s Set[T]) Add(v T) { s[v] = struct{}{} }
func (s Set[T]) Contains(v T) bool { _, ok := s[v]; return ok }
Writing Generic Data Structures — Using Go 1.18+ generics for type-safe containers, understanding constraint satisfaction, and building domain-specific generic types.
| Type | Use Case | Zero Value |
|---|---|---|
*T |
Normal indirection, mutation, optional values | nil |
unsafe.Pointer |
FFI, low-level memory layout (6 spec patterns only) | nil |
weak.Pointer[T] (1.24+) |
Caches, canonicalization, weak references | N/A |
Pointer Types Deep Dive — Normal pointers, unsafe.Pointer (the 6 valid spec patterns), and weak.Pointer[T] for GC-safe caches that don't prevent cleanup.
| Type | Copy Behavior | Independence |
|---|---|---|
int, float, bool, string |
Value (deep copy) | Fully independent |
array, struct |
Value (deep copy) | Fully independent |
slice |
Header copied, backing array shared | Use slices.Clone |
map |
Reference copied | Use maps.Clone |
channel |
Reference copied | Same channel |
*T (pointer) |
Address copied | Same underlying value |
interface |
Value copied (type + value pair) | Depends on held type |
For advanced data structures (trees, sets, queues, stacks) beyond the standard library:
emirpasic/gods — comprehensive collection library (trees, sets, lists, stacks, maps, queues)deckarep/golang-set — thread-safe and non-thread-safe set implementationsgammazero/deque — fast double-ended queueWhen using third-party libraries, refer to their official documentation and code examples for current API signatures. Context7 can help as a discoverability platform.
samber/cc-skills-golang@golang-performance skill for struct field alignment, memory layout optimization, and cache localitysamber/cc-skills-golang@golang-safety skill for nil map/slice pitfalls, append aliasing, defensive copying, slices.Clone/Equalsamber/cc-skills-golang@golang-concurrency skill for channels, sync.Map, sync.Pool, and all sync primitivessamber/cc-skills-golang@golang-design-patterns skill for string vs []byte vs []rune, iterators, streamingsamber/cc-skills-golang@golang-structs-interfaces skill for struct composition, embedding, and generics vs anysamber/cc-skills-golang@golang-code-style skill for slice/map initialization style| Mistake | Fix |
|---|---|
| Growing a slice in a loop without preallocation | Each growth copies the entire backing array — O(n) per growth. Use make([]T, 0, n) or slices.Grow |
Using container/list when a slice would suffice |
Linked lists have poor cache locality (each node is a separate heap allocation). Benchmark first |
bytes.Buffer for pure string building |
Buffer's String() copies the underlying bytes. strings.Builder avoids this copy |
unsafe.Pointer stored as uintptr across statements |
GC can move the object between statements — the uintptr becomes a dangling reference |
| Large struct values in maps (copying overhead) | Map access copies the entire value. Use map[K]*V for large value types to avoid the copy |
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
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I recommend golang-data-structures for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: golang-data-structures is the kind of skill you can hand to a new teammate without a long onboarding doc.
golang-data-structures reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in golang-data-structures — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for golang-data-structures matched our evaluation — installs cleanly and behaves as described in the markdown.
golang-data-structures reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend golang-data-structures for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: golang-data-structures is the kind of skill you can hand to a new teammate without a long onboarding doc.
golang-data-structures reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for golang-data-structures matched our evaluation — installs cleanly and behaves as described in the markdown.
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