code-documentation
Write comprehensive code documentation including JSDoc, Python docstrings, inline comments, function documentation, and API comments. Use when documenting code, writing docstrings, or creating inline documentation.
code-generation-template
Generate code from templates and patterns including scaffolding, boilerplate generation, AST-based code generation, and template engines. Use when generating code, scaffolding projects, creating boilerplate, or using templates.
code-metrics-analysis
Analyze code complexity, cyclomatic complexity, maintainability index, and code churn using metrics tools. Use when assessing code quality, identifying refactoring candidates, or monitoring technical debt.
code-review-analysis
Perform comprehensive code reviews with best practices, security checks, and constructive feedback. Use when reviewing pull requests, analyzing code quality, checking for security vulnerabilities, or providing code improvement suggestions.
Cohort Analysis
Track and analyze user cohorts over time, calculate retention rates, and identify behavioral patterns for customer lifecycle and retention analysis
color-accessibility
Design color palettes that are accessible to all users including those with color blindness. Ensure sufficient contrast, meaningful use of color, and inclusive design.
competitor-analysis
Analyze competitive landscape to identify strengths, weaknesses, opportunities, and threats. Inform product strategy and positioning based on market insights.
Computer Vision
Implement computer vision tasks including image classification, object detection, segmentation, and pose estimation using PyTorch and TensorFlow
concurrency-patterns
Implement thread-safe code, mutexes, semaphores, async/await patterns, and concurrent data structures. Use when handling parallel operations, race conditions, or building high-performance concurrent systems.
configuration-management
Manage application configuration including environment variables, settings management, configuration hierarchies, secret management, feature flags, and 12-factor app principles. Use for config, environment setup, or settings management.
container-debugging
Debug Docker containers and containerized applications. Diagnose deployment issues, container lifecycle problems, and resource constraints.
container-registry-management
Manage container registries (Docker Hub, ECR, GCR) with image scanning, retention policies, and access control.
continuous-testing
Integrate automated testing into CI/CD pipelines for continuous quality feedback. Use for continuous testing, CI testing, automated testing pipelines, test orchestration, and DevOps quality practices.
Correlation Analysis
Measure relationships between variables using correlation coefficients, correlation matrices, and association tests for correlation measurement, relationship analysis, and multicollinearity detection
correlation-tracing
Implement distributed tracing with correlation IDs, trace propagation, and span tracking across microservices. Use when debugging distributed systems, monitoring request flows, or implementing observability.
cpu-profiling
Profile CPU usage to identify hot spots and bottlenecks. Optimize code paths consuming most CPU time for better performance and resource efficiency.
cross-platform-compatibility
Handle cross-platform compatibility including file paths, environment detection, platform-specific dependencies, and testing across Windows, macOS, and Linux. Use when dealing with platform-specific code or OS compatibility.
csrf-protection
Implement Cross-Site Request Forgery (CSRF) protection using tokens, SameSite cookies, and origin validation. Use when building forms and state-changing operations.
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