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etl-design
Design extract-transform-load patterns, data pipeline orchestration, and incremental loading strategies
Skills IA Données et IA
Découvrez les skills Données et IA, comparez leurs dépôts et consultez leurs instructions.
Catégories: Données et IA
Données et IA Effacer les filtres
Explorer
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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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design-pattern-application
Apply Gang of Four and architectural patterns appropriately to solve common software design problems
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screen-reader-testing
Test with NVDA, JAWS, VoiceOver, validate ARIA attributes, and ensure semantic HTML
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optimization-patterns
Apply caching strategies, database optimization, and algorithmic improvements to enhance application performance
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data-modeling
Design dimensional models, star/snowflake schemas, and data warehouse structures for analytics and reporting
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cicd-pipeline-design
Design and implement continuous integration and deployment pipelines with automated testing, builds, and deployments
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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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test-coverage-analysis
Measure and improve test coverage by identifying untested code paths and prioritizing high-risk areas for testing
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agent-design
Design AI agents with appropriate capabilities, tools, and personas for specific software development tasks
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container-orchestration
Design Kubernetes deployment patterns, configure service mesh, and implement container best practices
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sql-development
Design efficient database schemas, write optimized queries with proper indexes, and manage data operations following best practices
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technical-debt-assessment
Identify code smells, prioritize refactoring opportunities, and assess technical debt impact
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requirements-elicitation
Extract complete, unambiguous requirements from specifications by identifying functional/non-functional requirements and clarifying ambiguities
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rate-limiting-strategies
Implement exponential backoff, token bucket algorithms, and API quota management
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load-testing
Design and execute load tests to validate performance under stress, identify scalability limits, and ensure SLA compliance
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work-breakdown
Break down features and requirements into actionable, implementable tasks with clear scope and acceptance criteria
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vulnerability-scanning
Scan dependencies and code for known vulnerabilities using automated tools, triage security issues, and prioritize remediation
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infrastructure-as-code
Define and manage infrastructure using code with tools like Terraform, CloudFormation, and Docker
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bug-triage
Systematically reproduce, diagnose, and analyze bugs to determine root cause, assess severity, and plan fix strategy
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wcag-compliance
Validate WCAG 2.1 AA/AAA standards, use accessibility testing tools, and implement remediation strategies
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technical-writing
Create clear, accessible documentation for technical and non-technical audiences with practical examples and logical structure
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logging-strategies
Implement structured logging with appropriate levels, context, and correlation for effective debugging and monitoring
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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.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.