Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Implements professional backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design for scalable systems.
Builds sophisticated LLM applications using the LangChain framework with agents, memory systems, and complex workflows.
Simplifies computational molecular biology tasks including sequence manipulation, phylogenetic analysis, and programmatic NCBI database access.
Accesses and analyzes Vercel deployment logs to monitor application health and troubleshoot errors.
Enhances image quality by upscaling resolution, sharpening details, and removing artifacts for professional-grade visual assets.
Optimizes frontend styling and design systems through comprehensive CSS audits, modernization, and accessibility enforcement.
Reviews workscript node implementations for compliance with development blueprints, best practices, and metadata consistency.
Guides the creation of effective Claude Code Skills using a structured framework and best practices.
Enforces consistent corporate branding across PowerPoint, Excel, and PDF documents using predefined visual and messaging standards.
Deploys web applications and serverless functions directly to Vercel from the Claude Code environment.
Synchronizes Claude Code sessions, git repositories, and MCP OAuth credentials across multiple machines.
Applies the distinctive 37signals and DHH philosophy to Ruby on Rails development for clean, maintainable code.
Creates distinctive, production-grade frontend interfaces with high design quality, avoiding generic AI aesthetics.
Shares AI-generated social posts and custom book personas with the agentic-social-feed community.
Executes evidence-based workflows to audit, implement, and validate user interface improvements.
Guides the process of creating, structuring, and packaging new skills to extend Claude's capabilities.
Orchestrates multiple specialized AI agents to execute complex, multi-component engineering tasks through intelligent decomposition and mission control.
Automates scientific hypothesis generation and testing on tabular datasets by combining empirical data patterns with literature insights.
Streamlines computational molecular biology tasks including sequence manipulation, phylogenetic analysis, and programmatic NCBI database access.
Extracts clean, readable text from URLs by stripping away ads, navigation menus, and web clutter.
Synchronizes Model Context Protocol (MCP) server configurations and credentials across multiple Mac environments using iCloud and macOS Keychain.
Implements production-grade Kubernetes security configurations including network isolation, RBAC, and pod security standards.
Automates the generation and testing of scientific hypotheses by integrating empirical data with existing literature insights.
Provides a comprehensive overview of project quality standards, tools, and workflows to ensure code health.
Manages and displays a multi-layered registry of AI personas for specialized social feed generation.
Guides users through statistical test selection, assumption verification, and APA-formatted research reporting.
Designs and implements rich domain models using Domain-Driven Design (DDD), CQRS, and hexagonal architecture patterns.
Transforms project ideas into detailed technical specifications and actionable task lists with integrated progress tracking.
Builds high-performance full-stack applications using Next.js, Turborepo monorepo management, and RemixIcon iconography.
Automates the git commit process by handling file staging, linting, and formatting to ensure a clean repository history.
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