Explore our collection of Agent Skills to enhance your AI workflow.
Automates the generation of production-grade Kubernetes manifests and infrastructure-as-code configurations.
Generates interactive, production-ready Plotly visualizations and data dashboards directly within your development workflow.
Automates SOC 2 compliance audits and security framework implementation within your Claude Code development environment.
Audits container environments and configurations to identify vulnerabilities, ensure compliance, and implement enterprise-grade security standards.
Optimizes machine learning model training by implementing mixed-precision techniques to reduce memory usage and accelerate computation.
Automates the production deployment workflow for Perplexity AI integrations including canary rollouts and rollback procedures.
Automates and manages end-to-end CI/CD workflows and multi-environment application deployments.
Analyzes decentralized exchange (DEX) liquidity pools to evaluate TVL, trading volume, fee generation, and impermanent loss risk.
Scans codebases for data privacy vulnerabilities and sensitive information exposure to ensure regulatory compliance and data protection.
Automates the creation and management of API health monitoring systems to ensure continuous uptime and integration reliability.
Implements automated linting, security policies, and architectural guardrails for Perplexity AI integrations.
Generates production-ready Helm charts for Kubernetes applications, including templates, configurations, and environment-specific best practices.
Streamlines the setup of a high-velocity local development environment for Retell AI with hot reloading and automated testing.
Implements robust load testing, auto-scaling configurations, and capacity planning strategies for Replit-based applications and integrations.
Generates production-ready Luigi tasks and complex data pipeline workflows using industry-standard orchestration patterns.
Optimizes context window usage and token efficiency to reduce costs and manage large-scale AI requests via OpenRouter.
Automates the querying and analysis of real-time blockchain metrics, transaction data, and crypto market statistics.
Implements industry-standard security practices for Retell AI API keys, access controls, and webhook verification.
Simplifies the creation of production-ready Amazon ECS task definitions with optimized configurations for containers and resource management.
Automates the generation of detailed changelog PRs by aggregating repository activity from Git, GitHub, and Slack.
Streamlines the conversion and export of machine learning models into production-ready formats for seamless MLOps integration.
Automates the deployment and management of Amazon SageMaker endpoints for production-grade machine learning model serving.
Generates production-ready GraphQL resolvers and provides architectural guidance for high-performance backend services.
Simplifies the implementation of robust pagination patterns for REST and GraphQL APIs to ensure scalable and efficient data delivery.
Generates comprehensive threat models and security architectures to identify vulnerabilities and ensure compliance with industry standards.
Streamlines the setup of a local development environment and testing workflow for Linear API integrations.
Provides a comprehensive suite of debugging, tracing, and monitoring tools for Linear API integrations.
Secures Perplexity API integrations by implementing industry-standard secrets management, least privilege access, and audit logging.
Provides standardized procedures and diagnostic scripts for managing and resolving production incidents involving Linear integrations.
Compares and synchronizes database schemas across environments using automated diffing tools for SQL and NoSQL systems.
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