GitHub
code-reviewer
Code review methodology, severity classification, and quality assessment patterns
☆ 2View skill
masanao-ohba AI Skills
GitHub ↗Browse published AI skills maintained by masanao-ohba. Compare skill descriptions and follow each source repository for setup instructions.
Author statistics
Indexed skills
35Repository stars across indexed skills
70Repository forks
0Average repository stars per indexed skill
2Repository stars may repeat across skills from the same repository.
Popular categories
Recent indexing activity
Browse skills
GitHub
requirement-analyzer
Analyzes and documents requirements for any software project, technology-agnostic approach to requirement engineering
☆ 2View skill
GitHub
test-case-designer
Designs comprehensive test cases for PHP/CakePHP applications, categorizing them into unit, integration, and system tests with proper documentation format
☆ 2View skill
GitHub
coding-standards
PHP coding standards (PSR-12, PHPDoc, type hints) for any PHP project
☆ 2View skill
GitHub
evaluation-criteria
Defines evaluation criteria and scoring methodologies for deliverable assessment
☆ 2View skill
GitHub
security-patterns
PHP security best practices and patterns for preventing common vulnerabilities
☆ 2View skill
GitHub
nextjs-code-reviewer
Comprehensive code review guidelines for Next.js 15 App Router projects
☆ 2View skill
GitHub
task-scaler
Evaluates task complexity and determines appropriate scale classification for workflow optimization
☆ 2View skill
GitHub
workflow-patterns
Common workflow patterns and coordination strategies for multi-agent orchestration
☆ 2View skill
GitHub
refactoring-advisor
Provides refactoring recommendations for PHP/CakePHP code to improve maintainability, performance, and adherence to best practices
☆ 2View skill
GitHub
test-implementer
Test execution patterns, failure classification, and result analysis
☆ 2View skill
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.