api-filtering-sorting
Implement advanced filtering and sorting capabilities for APIs with query parsing, field validation, and optimization. Use when building search features, complex queries, or flexible data retrieval endpoints.
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Implement advanced filtering and sorting capabilities for APIs with query parsing, field validation, and optimization. Use when building search features, complex queries, or flexible data retrieval endpoints.
Create comprehensive user guides, tutorials, how-to documentation, and step-by-step instructions with screenshots and examples. Use when writing user documentation, tutorials, or getting started guides.
Analyze and optimize SQL queries for performance. Use when improving slow queries, reducing execution time, or analyzing query performance in PostgreSQL and MySQL.
Structure Vue 3 applications using Composition API, component organization, and TypeScript. Use when building scalable Vue applications with proper separation of concerns.
Visualize and document current and future business processes. Identify inefficiencies, dependencies, and improvement opportunities through detailed process mapping and analysis.
Create security policies, guidelines, compliance documentation, and security best practices. Use when documenting security policies, compliance requirements, or security guidelines.
Build binary and multiclass classification models using logistic regression, decision trees, and ensemble methods for categorical prediction and classification
Launch and configure EC2 instances with security groups, IAM roles, key pairs, AMIs, and auto-scaling. Use for virtual servers and managed infrastructure.
Implement comprehensive health check endpoints for liveness, readiness, and dependency monitoring. Use when deploying to Kubernetes, implementing load balancer health checks, or monitoring service availability.
Implement comprehensive API error handling with standardized error responses, logging, monitoring, and user-friendly messages. Use when building resilient APIs, debugging issues, or improving error reporting.
Create and transform features using encoding, scaling, polynomial features, and domain-specific transformations for improved model performance and interpretability
Maintain comprehensive changelogs and release notes following Keep a Changelog format. Use when documenting version history, release notes, or tracking changes across versions.
Implement service mesh (Istio, Linkerd) for service-to-service communication, traffic management, security, and observability.
Configure HTTP security headers including CSP, HSTS, X-Frame-Options, and XSS protection. Use when hardening web applications against common attacks.
Configure autoscaling for Kubernetes, VMs, and serverless workloads based on metrics, schedules, and custom indicators.
Develop lightweight Flask APIs with routing, blueprints, database integration, authentication, and request/response handling. Use when building RESTful APIs, microservices, or lightweight web services with Flas...
Conduct comprehensive security compliance audits for SOC 2, GDPR, HIPAA, PCI-DSS, and ISO 27001. Use when preparing for certification, annual audits, or compliance validation.
Analyze team capacity, plan resource allocation, and balance workload across projects. Forecast staffing needs and optimize team utilization while maintaining sustainable pace.
Deploy containerized applications on Google Cloud Run with automatic scaling, traffic management, and service mesh integration. Use for container-based serverless computing.
Create and deploy serverless functions using AWS Lambda with event sources, permissions, layers, and environment configuration. Use for event-driven computing without managing servers.
Automate pull request workflows with templates, checklists, auto-merge rules, and review assignments. Reduce manual overhead and improve consistency.
Automated vulnerability detection using OWASP tools, CVE databases, and security scanners. Use when performing security audits, compliance checks, or continuous security monitoring.
Interpret machine learning models using SHAP, LIME, feature importance, partial dependence, and attention visualization for explainability
Analyze temporal data patterns including trends, seasonality, autocorrelation, and forecasting for time series decomposition, trend analysis, and forecasting models
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.