Implements concurrent Go patterns using goroutines and channels, designs and builds microservices with gRPC or REST, optimizes Go application performance with pprof, and enforces idiomatic Go with generics, interfaces, and robust error handling. Use when building Go applications requiring concurrent programming, microservices architecture, or high-performance systems. Invoke for goroutines, channels, Go generics, gRPC integration, CLI tools, benchmarks, or table-driven testing.
90
88%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is a strong skill description that clearly articulates specific Go-related capabilities, provides comprehensive trigger terms covering the Go ecosystem, and explicitly states both what the skill does and when to invoke it. The description is well-structured with a clear separation between capabilities and trigger conditions, and the Go-specific terminology makes it highly distinctive.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: implementing concurrent patterns with goroutines/channels, designing microservices with gRPC/REST, optimizing with pprof, enforcing idiomatic Go with generics/interfaces/error handling. | 3 / 3 |
Completeness | Clearly answers both 'what' (concurrent patterns, microservices, performance optimization, idiomatic Go) and 'when' with explicit trigger guidance ('Use when building Go applications requiring...', 'Invoke for goroutines, channels...'). | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms a user would say: goroutines, channels, Go generics, gRPC, REST, microservices, pprof, CLI tools, benchmarks, table-driven testing, concurrent programming, high-performance systems. | 3 / 3 |
Distinctiveness Conflict Risk | Highly specific to Go language with distinct triggers like goroutines, channels, pprof, Go generics, and table-driven testing that are unique to the Go ecosystem and unlikely to conflict with other language-specific skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a solid skill with strong actionability and workflow clarity, featuring executable code examples, specific tool commands, and clear validation checkpoints. The main weaknesses are the missing bundle files that the reference table points to, and some token waste on persona description and a keyword dump section. The progressive disclosure structure is well-designed in theory but unsupported by actual reference files.
Suggestions
Remove the 'Knowledge Reference' keyword dump section — it provides no actionable guidance Claude doesn't already know.
Create the five referenced files (references/concurrency.md, etc.) to fulfill the progressive disclosure promise of the reference table.
Remove or shorten the opening persona sentence ('Senior Go developer with deep expertise...') — this describes Claude rather than instructing it.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Generally efficient but includes some unnecessary elements: the 'Knowledge Reference' section at the bottom is a keyword dump that adds no value for Claude, the introductory sentence describes Claude's persona rather than providing actionable guidance, and the output templates section is somewhat vague. The core code example and constraints are well-justified though. | 2 / 3 |
Actionability | Provides a fully executable, well-commented Go code example demonstrating the core concurrency pattern with context cancellation and error propagation. Constraints are specific and concrete (e.g., 'use fmt.Errorf("%w", err)'), and the workflow includes specific tool commands like 'go vet ./...', 'golangci-lint run', and '-race' flag. | 3 / 3 |
Workflow Clarity | The core workflow is clearly sequenced with explicit validation checkpoints: run 'go vet' before proceeding, run 'golangci-lint' and fix all issues before proceeding, confirm race detector passes before committing. This creates clear gates and feedback loops for error recovery at each stage. | 3 / 3 |
Progressive Disclosure | The reference table with 'Load When' guidance is a well-structured progressive disclosure pattern. However, no bundle files were provided, meaning all five referenced files (references/concurrency.md, etc.) are missing, which undermines the actual utility of the references. The SKILL.md itself is reasonably sized but the core pattern example could arguably live in the concurrency reference. | 2 / 3 |
Total | 10 / 12 Passed |
Validation
100%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 11 / 11 Passed
Validation for skill structure
No warnings or errors.
efebc44
Table of Contents
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.