Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Identifies and prioritizes research gaps from systematic literature reviews to justify new studies and grant proposals.
Automates the creation of comprehensive ethical protocols and documentation for institutional review board approval in human subjects research.
Automates programmable chemical synthesis by treating chemical procedures as executable XDL code on modular robotic hardware.
Streamlines Jira issue management and project workflows through a powerful command-line interface optimized for AI interaction.
Streamlines the process of building, validating, and packaging specialized Claude Code skills to extend AI capabilities.
Automates the creation of production-ready project structures with integrated dependency tracking and multi-phase lifecycle management.
Masters ES6+ features and functional programming patterns to refactor legacy code and write clean, performant JavaScript.
Implements professional backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design for scalable systems.
Master complex TypeScript type architectures using generics, conditional types, and template literals to ensure maximum compile-time safety.
Implements rigorous evaluation strategies for LLM applications using automated metrics, human-in-the-loop feedback, and advanced benchmarking.
Defines and implements measurable reliability targets using Service Level Indicators (SLIs) and Service Level Objectives (SLOs).
Generates comprehensive architectural documentation and interactive wikis with direct source code traceability for any codebase.
Streamlines Python dependency management and virtual environment creation using the high-performance uv tool.
Profiles and optimizes Python code to eliminate bottlenecks, reduce memory usage, and improve execution speed using industry-standard tools.
Architects durable, fault-tolerant distributed systems using Temporal-inspired workflow patterns and best practices.
Automates the creation of standards-compliant Python packages with modern project structures and publishing workflows.
Implements high-performance, non-blocking Python applications using asyncio and modern concurrent programming patterns.
Implements resilient error handling strategies, custom exception hierarchies, and failure recovery patterns across multiple programming languages.
Optimizes version control management through advanced interactive rebasing, history rewriting, and complex recovery techniques.
Elevates the code review process with actionable feedback, systematic analysis, and professional standards to improve software quality and team collaboration.
Builds Retrieval-Augmented Generation (RAG) systems to ground LLM applications with vector databases and semantic search capabilities.
Optimizes SQL queries and database performance through indexing strategies, query plan analysis, and efficient data access patterns.
Optimizes LLM performance and reliability through advanced prompting techniques like chain-of-thought and few-shot learning.
Implements automated, declarative Kubernetes deployments using ArgoCD and Flux to maintain infrastructure through Git-based reconciliation.
Implements robust end-to-end testing suites using Playwright and Cypress to ensure application reliability and prevent regressions.
Streamlines Temporal workflow testing in Python through automated time-skipping, activity mocking, and determinism validation.
Generates and manages production-grade Grafana dashboards for real-time observability of system and application metrics.
Architects sophisticated LLM applications using LangChain patterns for autonomous agents, stateful memory management, and modular chains.
Optimizes cloud infrastructure expenses across AWS, Azure, and GCP through resource rightsizing, strategic tagging, and pricing model analysis.
Implements production-grade Kubernetes security configurations including NetworkPolicies, RBAC, and Pod Security Standards.
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