example-driven-pattern-learning
CommunityImprove code quality with few-shot learning.
Software Engineering#testing#consistency#code generation#few-shot learning#quality improvement#pattern learning
Authormsageha
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enhances the quality and consistency of AI-generated outputs, particularly in code generation and testing, by leveraging few-shot examples.
Core Features & Use Cases
- Pattern Extraction: Systematically extracts principles, patterns, and examples from existing code or instructions.
- Good/Bad Contrast: Creates clear comparisons between recommended and discouraged coding practices.
- Template-Based Application: Applies learned patterns consistently across code generation, test case creation, and error handling.
- Use Case: When generating a new API endpoint, this Skill ensures consistent error handling and response formatting by learning from provided examples of correct and incorrect implementations.
Quick Start
Apply the example-driven-pattern-learning skill to generate a Python function for data validation using two good examples and one bad example.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: example-driven-pattern-learning Download link: https://github.com/msageha/maestro_v2/archive/main.zip#example-driven-pattern-learning Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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