Explore our collection of Agent Skills to enhance your AI workflow.
Identifies and remediates code injection vulnerabilities using industry-standard security patterns and automated scanning.
Automates ArgoCD application deployments and provides production-ready DevOps configurations for Kubernetes environments.
Automates the generation and configuration of robust webhook sender systems for seamless third-party API integrations.
Automates the generation of predictive forecasting models and statistical analysis workflows within your development environment.
Streamlines GitLab CI/CD pipeline implementation by providing automated guidance and production-ready configurations for foundational DevOps tasks.
Analyzes and adapts capabilities from existing plugins to dynamically solve complex tasks using identified implementation patterns.
Standardizes and automates stakeholder communication through production-ready templates and enterprise workflow integration.
Accelerates your onboarding with Cursor AI by guiding you through core features like Tab completion, AI Chat, and Composer.
Orchestrates and monitors autonomous development workflows by managing tasks and system status through the Sugar plugin.
Integrates and compares multiple AI providers through OpenRouter's unified API to create resilient, provider-agnostic systems.
Collects and packages Vercel diagnostic data and logs into a redacted debug bundle for troubleshooting and support tickets.
Simplifies the creation of production-grade Dagster pipelines for data orchestration and ETL workflows.
Configures and optimizes MLflow tracking environments for seamless experiment logging and machine learning lifecycle management.
Configures and optimizes AWS ElastiCache clusters using production-ready patterns and automated architectural guidance.
Generates production-ready Python unit tests and test configurations using industry-standard best practices.
Analyzes source code to automatically generate and maintain comprehensive technical documentation, including API references and architectural guides.
Automates the creation and configuration of production-grade Google Cloud Functions using industry-standard patterns.
Automates the evaluation of system configurations and codebases against SOC2 security and compliance standards.
Automates the creation of optimized configuration files for deploying PyTorch models via TorchServe.
Analyzes historical temporal data to predict future trends and seasonal patterns using advanced statistical modeling.
Automates comprehensive security vulnerability testing for applications and APIs to identify OWASP Top 10 flaws and injection risks.
Monitors real-time database transactions to detect performance bottlenecks, lock contention, and transaction anomalies.
Automates database archival by migrating historical records to cold storage or archive tables to optimize performance and storage costs.
Optimizes application caching strategies by analyzing hit rates, TTL configurations, and key designs to maximize system performance.
Identifies and resolves memory leaks, performance bottlenecks, and resource management issues within your codebase.
Guides the end-to-end security incident response lifecycle from initial classification to recovery and post-incident analysis.
Constructs sophisticated recommendation systems using collaborative filtering, content-based filtering, and hybrid approaches to personalize user experiences.
Analyzes cloud infrastructure usage to identify cost-saving opportunities and generate actionable FinOps reports for AWS, Azure, and GCP.
Identifies potential memory leaks and analyzes usage patterns to optimize application performance and stability.
Simplifies SOC2 audit preparation by automating evidence gathering, identifying compliance gaps, and generating readiness reports.
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