GitHub
etl-design
Design extract-transform-load patterns, data pipeline orchestration, and incremental loading strategies
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Data & AI AI Skills
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api-integration-patterns
Implement robust third-party API integrations with proper authentication, error handling, and rate limiting
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GitHub
design-pattern-application
Apply Gang of Four and architectural patterns appropriately to solve common software design problems
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GitHub
screen-reader-testing
Test with NVDA, JAWS, VoiceOver, validate ARIA attributes, and ensure semantic HTML
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GitHub
optimization-patterns
Apply caching strategies, database optimization, and algorithmic improvements to enhance application performance
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GitHub
data-modeling
Design dimensional models, star/snowflake schemas, and data warehouse structures for analytics and reporting
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GitHub
cicd-pipeline-design
Design and implement continuous integration and deployment pipelines with automated testing, builds, and deployments
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GitHub
user-story-writing
Create well-structured user stories with clear acceptance criteria in 'As a/I want/So that' format for team communication
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GitHub
test-coverage-analysis
Measure and improve test coverage by identifying untested code paths and prioritizing high-risk areas for testing
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GitHub
agent-design
Design AI agents with appropriate capabilities, tools, and personas for specific software development tasks
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GitHub
container-orchestration
Design Kubernetes deployment patterns, configure service mesh, and implement container best practices
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GitHub
sql-development
Design efficient database schemas, write optimized queries with proper indexes, and manage data operations following best practices
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GitHub
technical-debt-assessment
Identify code smells, prioritize refactoring opportunities, and assess technical debt impact
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GitHub
requirements-elicitation
Extract complete, unambiguous requirements from specifications by identifying functional/non-functional requirements and clarifying ambiguities
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GitHub
rate-limiting-strategies
Implement exponential backoff, token bucket algorithms, and API quota management
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GitHub
load-testing
Design and execute load tests to validate performance under stress, identify scalability limits, and ensure SLA compliance
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GitHub
work-breakdown
Break down features and requirements into actionable, implementable tasks with clear scope and acceptance criteria
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GitHub
vulnerability-scanning
Scan dependencies and code for known vulnerabilities using automated tools, triage security issues, and prioritize remediation
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GitHub
infrastructure-as-code
Define and manage infrastructure using code with tools like Terraform, CloudFormation, and Docker
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GitHub
bug-triage
Systematically reproduce, diagnose, and analyze bugs to determine root cause, assess severity, and plan fix strategy
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GitHub
wcag-compliance
Validate WCAG 2.1 AA/AAA standards, use accessibility testing tools, and implement remediation strategies
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GitHub
technical-writing
Create clear, accessible documentation for technical and non-technical audiences with practical examples and logical structure
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GitHub
logging-strategies
Implement structured logging with appropriate levels, context, and correlation for effective debugging and monitoring
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GitHub
quick-fixes
A process for making a quick single feature fix or improvement and deploying it to the production environment. Use anytime the user asks to for any improvements or fixes.
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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.