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.
Install with Tessl CLI
npx tessl i github:ArabelaTso/Skills-4-SE --skill module-component-generator86
Does it follow best practices?
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npx tessl skill review --optimize ./path/to/skillValidation for skill structure
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 an excellent skill description that hits all the marks. It provides specific capabilities, comprehensive trigger terms that users would naturally use, explicit 'Use when' and 'Trigger when' clauses, and a clear niche that distinguishes it from general coding 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). Provides comprehensive guidance for skill selection. | 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'. Also includes technical but commonly-used terms like 'interface contracts', 'specifications', and 'interface definitions'. | 3 / 3 |
Distinctiveness Conflict Risk | Clear niche focused on interface-driven code generation and module/component creation. The specific focus on 'interface contracts', 'service layers', and 'protocols' distinguishes it from general code generation skills. Language-specific details (Python protocols, Java 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 structural organization with clear workflows and good progressive disclosure to reference files. However, it suffers from verbosity by explaining concepts Claude already knows (design patterns, documentation best practices, code quality standards) and lacks concrete executable code examples in the main skill file, instead deferring to external references.
Suggestions
Remove or significantly condense the 'Best Practices' and 'Design Patterns' sections - Claude already knows these concepts; focus only on project-specific conventions
Add at least one complete, executable code example showing a full interface-to-implementation transformation rather than just describing the process
Consolidate the 'What This Skill Generates' and 'Generation Scope' sections which contain overlapping information
| 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 about code quality, documentation, and design patterns. The content could be tightened significantly. | 2 / 3 |
Actionability | The skill provides structured guidance but lacks concrete, executable code examples. It describes what to generate and patterns to use but relies heavily on references to external files (python-patterns.md, java-patterns.md) for actual implementation examples. The 'Example Usage Patterns' section shows inputs/outputs but no actual code. | 2 / 3 |
Workflow Clarity | The workflow is clearly sequenced with five explicit steps (Analyze, Determine Structure, Generate, Document, Provide Examples). Each step has clear sub-tasks. The quality checklist at the end provides validation checkpoints before delivery. | 3 / 3 |
Progressive Disclosure | Good structure with clear navigation. References to detailed pattern files (python-patterns.md, java-patterns.md, documentation-patterns.md) are one level deep and clearly signaled. The main skill provides overview while pointing to specific references for detailed examples. | 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.
- Reviewed
Table of Contents
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