Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Optimizes codebase navigation and feature implementation through token-efficient symbol extraction and architectural layer querying.
Simplifies the creation and management of Ruby on Rails views, ERB templates, and frontend helpers.
Streamlines Ruby dependency management by providing expert guidance on Gemfile configuration, versioning, and Bundler commands.
Accesses and manages Canvas LMS course content, assignments, and modules directly within Claude Code.
Provisions and controls cloud-based virtual machines for automated browser testing and remote task execution.
Streamlines Ruby test data generation by providing standardized patterns for factories, traits, sequences, and associations.
Builds reliable end-to-end and component tests using Playwright, TypeScript, and modern architectural patterns like the Page Object Model.
Automates macOS and Linux system administration using a profile-aware framework for package management, services, and SSH.
Persists trading backtest results to an SQLite database to enable historical performance comparison and model optimization.
Optimizes Ruby codebases through profiling, benchmarking, and advanced memory management techniques.
Installs and manages Claude Code skills directly from GitHub and other Git repositories to enhance agent capabilities.
Creates distinctive, high-quality web interfaces while teaching frontend design principles and avoiding generic AI-generated aesthetics.
Streamlines the process of creating, testing, and publishing production-ready Ruby gems with standardized best practices.
Generates structured Product Requirement Documents using a 'land then expand' approach to maintain architectural consistency and development focus.
Optimizes CODEX and scRNAseq data integration by incorporating tissue heterogeneity into spatial cell matching workflows.
Streamlines the creation, configuration, and delivery of transactional and marketing emails in Ruby on Rails applications.
Converts asyncpg database code to SQLAlchemy 2.0+ asynchronous patterns while preserving performance and transaction integrity.
Implements strategic information layering to reduce cognitive load while maintaining feature depth for power users.
Orchestrates complex multi-agent workflows by decomposing large tasks into parallelized sub-tasks managed by specialized AI workers.
Generates structured product requirement documents using a modular "land then expand" methodology to ensure architectural consistency.
Conducts systematic codebase audits to identify security vulnerabilities, performance bottlenecks, and code quality issues across multiple programming languages.
Accelerates genomic interval analysis and machine learning preprocessing with high-performance Rust-powered algorithms and Python bindings.
Systematically triages, rebases, and resolves large volumes of stale or conflicted pull requests while maintaining repository stability.
Simplifies building and deploying lightweight Unikraft unikernels using the Kraft CLI and Unikraft Cloud infrastructure.
Manages self-hosted PaaS infrastructure including application deployments, database configuration, and server orchestration via the Coolify REST API.
Enforces standardized Java logging patterns using CuiLogger and LogRecord for structured, reliable application observability.
Standardizes the generation and PDF archival of Quality Control (QC) heatmaps and profiles for microscopy quantification workflows.
Streamlines the development of production-ready SvelteKit applications using Svelte 5 runes, type-safe remote functions, and modern architectural patterns.
Implements modern, performant user interfaces using Next.js, React, Tailwind CSS, and Shadcn UI following server-first architecture principles.
Enforces rigorous Cypress E2E testing standards to ensure reliable, high-quality browser automation in CUI projects.
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