Go Concurrency Patterns Agent Skill
Master Go concurrency with goroutines, channels, sync primitives, and context. Use when building concurrent Go applications, implementing worker pools, or debugging race conditions.
Install
one command, takes just this skill from the repositorynpx skills add https://github.com/wshobson/agents --skill go-concurrency-patternsThe instruction itself
10 sections, as written by the authorGo Concurrency Patterns
Production patterns for Go concurrency including goroutines, channels, synchronization primitives, and context management.
When to Use This Skill
- Building concurrent Go applications
- Implementing worker pools and pipelines
- Managing goroutine lifecycles
- Using channels for communication
- Debugging race conditions
- Implementing graceful shutdown
Core Concepts
1. Go Concurrency Primitives
| Primitive | Purpose |
| ----------------- | -------------------------------- |
| goroutine | Lightweight concurrent execution |
| channel | Communication between goroutines |
| select | Multiplex channel operations |
| sync.Mutex | Mutual exclusion |
| sync.WaitGroup | Wait for goroutines to complete |
| context.Context | Cancellation and deadlines |
2. Go Concurrency Mantra
Don't communicate by sharing memory;
share memory by communicating.
Quick Start
package main
import (
"context"
"fmt"
"sync"
"time"
)
func main() {
ctx, cancel := context.WithTimeout(context.Background(), 5*time.Second)
defer cancel()
results := make(chan string, 10)
var wg sync.WaitGroup
// Spawn workers
for i := 0; i < 3; i++ {
wg.Add(1)
go worker(ctx, i, results, &wg)
}
// Close results when done
go func() {
wg.Wait()
close(results)
}()
// Collect results
for result := range results {
fmt.Println(result)
}
}
func worker(ctx context.Context, id int, results chan<- string, wg *sync.WaitGroup) {
defer wg.Done()
select {
case <-ctx.Done():
return
case results <- fmt.Sprintf("Worker %d done", id):
}
}
Detailed patterns and worked examples
Detailed pattern documentation lives in references/details.md. Read that file when the navigation tier above is insufficient.
Best Practices
Do's
- Use context - For cancellation and deadlines
- Close channels - From sender side only
- Use errgroup - For concurrent operations with errors
- Buffer channels - When you know the count
- Prefer channels - Over mutexes when possible
Don'ts
- Don't leak goroutines - Always have exit path
- Don't close from receiver - Causes panic
- Don't use shared memory - Unless necessary
- Don't ignore context cancellation - Check ctx.Done()
- Don't use time.Sleep for sync - Use proper primitives
Other skills for the same job
different authors, same section of the catalogue
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Integration 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
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.
How to use it
Take wshobson/go-concurrency-patterns 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.