Use when working with Go slices, maps, or arrays — choosing between new and make, using append, declaring empty slices (nil vs literal for JSON), implementing sets with maps, and copying data at boundaries. Also use when building or manipulating collections, even if the user doesn't ask about allocation idioms. Does not cover concurrent data structure safety (see go-concurrency).
npx skills add https://github.com/cxuu/golang-skills --skill go-data-structures
references/SLICES.md - Read when deciding nil versus empty slices, copying slices, or managing slice capacity and aliasing.What do you need?
├─ Ordered collection of items
│ ├─ Fixed size known at compile time → Array [N]T
│ └─ Dynamic size → Slice []T
│ ├─ Know approximate size? → make([]T, 0, capacity)
│ └─ Unknown size or nil-safe for JSON? → var s []T (nil)
├─ Key-value lookup
│ └─ Map map[K]V
│ ├─ Know approximate size? → make(map[K]V, capacity)
│ └─ Need a set? → map[T]struct{} (zero-size values)
└─ Need to pass to a function?
└─ Copy at the boundary if the caller might mutate it
> When this skill does NOT apply: For concurrent access to data structures (mutexes, atomic operations), see go-concurrency. For defensive copying at API boundaries, see go-defensive. For pre-sizing capacity for performance, see go-performance.
Always assign the result — the underlying array may change:
x := []int{1, 2, 3}
x = append(x, 4, 5, 6)
// Append a slice to a slice
x = append(x, y...) // Note the ...
Independent inner slices (can grow/shrink independently):
picture := make([][]uint8, YSize)
for i := range picture {
picture[i] = make([]uint8, XSize)
}
Single allocation (more efficient for fixed sizes):
picture := make([][]uint8, YSize)
pixels := make([]uint8, XSize*YSize)
for i := range picture {
picture[i], pixels = pixels[:XSize], pixels[XSize:]
}
Prefer nil slices over empty literals:
// Good: nil slice
var t []string
// Avoid: non-nil but zero-length
t := []string{}
Both have len and cap of zero, but the nil slice is the preferred style.
Exception for JSON: A nil slice encodes to null, while []string{}
encodes to []. Use non-nil when you need a JSON array.
When designing interfaces, avoid distinguishing between nil and non-nil
zero-length slices.
Use map[T]struct{} when the map is only a set. The empty struct takes no
storage and makes membership intent explicit:
attended := map[string]struct{}{"Ann": {}, "Joe": {}}
if _, ok := attended[person]; ok {
fmt.Println(person, "was at the meeting")
}
Use boolean map values only when the value carries a separate meaning beyond
presence.
Be careful when copying a struct from another package. If the type has methods
on its pointer type (*T), copying the value can cause aliasing bugs.
General rule: Do not copy a value of type T if its methods are associated
with the pointer type *T. This applies to bytes.Buffer, sync.Mutex,
sync.WaitGroup, and types containing them.
// Bad: copying a mutex
var mu sync.Mutex
mu2 := mu // almost always a bug
// Good: pass by pointer
func increment(sc *SafeCounter) {
sc.mu.Lock()
sc.count++
sc.mu.Unlock()
}
| Topic | Key Point |
|-------|-----------|
| Slices | Always assign append result; nil slice preferred over []T{} |
| Sets | map[T]struct{} for membership-only sets |
| Copying | Don't copy T if methods are on *T; beware aliasing |
new, make, var, and composite literalsIntegration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take cxuu/go-data-structures from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.