Explore our collection of Agent Skills to enhance your AI workflow.
Implements sophisticated TypeScript type logic using generics, conditional types, and template literals to ensure maximum compile-time type safety.
Builds and orchestrates end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment.
Designs and reviews RESTful and GraphQL APIs using industry-standard patterns for scalability, maintainability, and developer experience.
Generates production-grade Kubernetes manifests for deployments, services, and configurations using security-first best practices.
Conducts proactive threat investigations and builds hypothesis-driven hunts within the LimaCharlie SecOps platform.
Optimizes repository management using advanced Git techniques like rebasing, bisecting, and worktrees to maintain a clean history and recover lost work.
Master systematic code review practices to improve software quality, foster knowledge sharing, and provide constructive feedback.
Implements comprehensive testing strategies for Python using pytest, advanced mocking, and test-driven development best practices.
Designs and manages production-ready Grafana dashboards for real-time system and application observability.
Streamlines the testing of Temporal workflows and activities in Python using time-skipping, mocking, and determinism validation.
Automates the creation and management of production-ready Helm charts for Kubernetes applications.
Architects resilient, vendor-neutral systems by comparing and integrating services across AWS, Azure, and Google Cloud Platform.
Implements industry-standard authentication and authorization patterns including JWT, OAuth2, and RBAC to secure web applications and APIs.
Profiles and optimizes Python code to identify bottlenecks, reduce memory consumption, and improve execution speed using industry-standard tools and patterns.
Implement distributed tracing with Jaeger and Tempo to monitor microservices performance and visualize request flows across complex systems.
Builds reusable, production-ready Terraform modules for AWS, Azure, and GCP following infrastructure-as-code best practices.
Optimizes Large Language Model performance through advanced prompting techniques like few-shot learning and chain-of-thought reasoning.
Refactors legacy code and implements modern ES6+ patterns, functional programming, and asynchronous workflows for clean JavaScript development.
Implements production-ready architectural patterns for building scalable Express and Fastify backend services with TypeScript.
Optimizes SQL queries and database performance through advanced indexing strategies and execution plan analysis.
Optimizes multi-agent workflows by intelligently delegating specialized tasks to the most effective AI models within the AgentMaestro ecosystem.
Implements robust unit, integration, and end-to-end testing strategies for JavaScript and TypeScript applications.
Optimizes LimaCharlie deployments by reducing operational costs, tuning query performance, and implementing efficient resource management strategies.
Generates diverse, structured ideas for brainstorming sessions with fine-grained control over creativity levels and output volume.
Generates, optimizes, and explains LimaCharlie Query Language (LCQL) queries for advanced security telemetry analysis and threat hunting.
Configures and troubleshoots LimaCharlie adapters to seamlessly ingest telemetry from cloud services, identity providers, and various log sources.
Generates platform-optimized, AI-powered image variations for advertising campaigns using Google Gemini.
Manages, deploys, and troubleshoots LimaCharlie endpoint sensors across Windows, macOS, and Linux platforms for real-time EDR telemetry.
Guides the development of modular, high-performance skills to extend Claude's capabilities with specialized knowledge and workflows.
Generates platform-optimized, copyright-compliant ad copy variations for performance marketing and A/B testing.
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