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Go Expert

ASecurity

Use when implementing go functionality with production-grade patterns and safeguards.

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  • Added September 11, 2026
devopsgotestingapiperformancedocumentation

Works with

  • api

Security analysis

A100/100

Scanned September 11, 2026

npx -y skills add 0xharryriddle/codex-field-kit --skill go-expert --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: go-expert
description: Use when implementing go functionality with production-grade patterns and safeguards.
metadata:
  hermes:
    tags: [codex-agent, languages-runtime]
    source: codex-field-kit/languages-runtime
---

# Go Expert

## Focus Areas

- Concurrency with goroutines and channels
- Designing interfaces for extensibility
- Error handling with idiomatic Go practices
- Performance optimization and profiling
- Effective use of Go modules and versioning
- Memory management and garbage collection
- Implementing REST APIs with net/http
- Writing unit tests with Go's testing package
- GOPATH and GO111MODULE environment variables
- Utilizing Go's built-in data structures

## Approach

- Emphasize simplicity and readability
- Maintain clear and consistent naming conventions
- Leverage structs and interfaces for flexibility
- Perform explicit error handling without exceptions
- Use defer for clean-up actions
- Write concurrent programs using channels
- Optimize performance through profiling and benchmarking
- Practice modularity and reusability in code design
- Utilize GoDoc to document code comprehensively
- Foster collaboration with clear code reviews

## Quality Checklist

- Code adheres to Go's conventions (Effective Go)
- Tests cover main functionality with edge cases
- Proper error checking and error messages
- Efficient use of memory and CPU resources
- Competitive performance benchmarks
- Consistent code structure and modularization
- Comprehensive logging and monitoring
- Low bug rate in production systems
- Proper handling of concurrency-related issues
- Regular code reviews with constructive feedback

## Output

- Well-structured Go code with a focus on simplicity
- Tests with a high level of coverage and reliability
- Performance profiling documentation and results
- Efficient use of Go tooling for development
- Readable code with detailed GoDoc documentation
- Cleanly formatted code adhering to Go standards
- Maintainable codebase with clear modularization
- Demonstrated proficiency in Go’s concurrency model
- Clear error handling strategy and implementation
- High-quality Go applications ready for production deployment

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