module-component-generator
Generates complete modules and components from interface contracts and specifications. Use when Claude needs to build larger software components, implement interfaces, create service layers, or generate complete modules with multiple related classes. Supports Python (with type hints and protocols) and Java (with interfaces and abstract classes). Trigger when users request "implement this interface", "generate a module for", "create a service layer", "build a component that implements", or provide interface definitions that need implementation.
89
85%
Does it follow best practices?
Impact
95%
1.31xAverage score across 3 eval scenarios
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 well-crafted skill description that excels across all dimensions. It provides specific capabilities, comprehensive trigger terms that match natural developer language, explicit 'Use when' and 'Trigger when' clauses, and a clear niche that distinguishes it from general code generation skills. The description uses proper third-person voice throughout.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions: 'generates complete modules and components', 'implement interfaces', 'create service layers', 'generate complete modules with multiple related classes'. Also specifies supported languages with their features (Python with type hints/protocols, Java with interfaces/abstract classes). | 3 / 3 |
Completeness | Clearly answers both what (generates modules/components from interface contracts, supports Python and Java) AND when (explicit 'Use when' clause plus 'Trigger when' with specific user phrases). Both aspects are thoroughly covered. | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural trigger phrases users would say: 'implement this interface', 'generate a module for', 'create a service layer', 'build a component that implements', plus mentions 'interface definitions'. These are realistic phrases developers would use. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche focused on interface-driven code generation for larger components/modules. The specific focus on 'interface contracts', 'service layers', and 'protocols' distinguishes it from general code generation skills. Language-specific details (type hints, abstract classes) further narrow the scope. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
70%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This skill has strong organizational structure and workflow clarity with good progressive disclosure to reference files. However, it suffers from verbosity by explaining concepts Claude already understands (validation, documentation practices, design patterns) and lacks concrete executable code examples in the main file, relying too heavily on external references for actionable content.
Suggestions
Add at least one complete, executable code example (Python or Java) showing a full interface implementation rather than just describing the process
Remove or significantly condense the 'Best Practices' section - Claude already knows about validation, error handling, and documentation standards
Replace the descriptive 'What This Skill Generates' section with a brief one-liner; the content is self-evident from the skill's purpose
Include inline code snippets for common patterns (e.g., a minimal Protocol implementation) rather than only referencing external files
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is moderately verbose with some unnecessary explanation. Sections like 'What This Skill Generates' and 'Best Practices' contain information Claude already knows (e.g., basic documentation practices, validation concepts). The content could be tightened significantly while preserving actionability. | 2 / 3 |
Actionability | The skill provides structured guidance and checklists but lacks concrete, executable code examples. It references external files (python-patterns.md, java-patterns.md) for actual code but doesn't include any copy-paste ready implementations in the main skill. The guidance is more descriptive than instructive. | 2 / 3 |
Workflow Clarity | The workflow is clearly sequenced with numbered steps (Analyze → Determine Structure → Generate → Document → Provide Examples). The quality checklist at the end serves as a validation checkpoint. Steps are explicit and logically ordered for the code generation process. | 3 / 3 |
Progressive Disclosure | Good structure with clear overview sections and well-signaled references to external files (python-patterns.md, java-patterns.md, documentation-patterns.md). Content is appropriately organized with quick start, detailed sections, and reference links that are one level deep. | 3 / 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.
- Repository
- ArabelaTso/Skills-4-SE
- Commit
0f00a4f
- Reviewed
Table of Contents
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