Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Generates professional, LaTeX-formatted medical treatment plans with SMART goals and AI-powered clinical schematics.
Generates comprehensive, regulatory-compliant clinical reports, diagnostic summaries, and medical documentation following international standards like CARE and ICH-E3.
Streamlines the creation of high-impact scientific manuscripts with automated literature research, IMRAD structuring, and mandatory visual schematics.
Converts documents, spreadsheets, and media files into structured, token-efficient Markdown for seamless LLM processing and documentation.
Generates publication-quality scientific diagrams and schematics with automated quality review and iterative AI refinement.
Performs real-time academic and technical research lookups using Perplexity Sonar models with intelligent reasoning selection.
Accesses and validates LaTeX templates for major scientific journals, conferences, research posters, and grant proposals.
Generates testable scientific hypotheses, experimental designs, and professional reports from observations and literature synthesis.
Generates visually engaging, research-backed slide decks for scientific presentations and academic talks using AI-driven design.
Conducts systematic literature reviews and meta-analyses across major scientific databases with verified citations and AI-generated schematics.
Conducts rigorous, systematic evaluations of scientific manuscripts and grant proposals using standardized academic and statistical criteria.
Generates professional, publication-quality scientific posters using LaTeX and AI-optimized visual communication patterns.
Automates academic paper discovery, metadata extraction, and BibTeX formatting for scientific writing workflows.
Guides developers through Swift 6 strict concurrency patterns, actor isolation, and async/await implementation to eliminate data races.
Implements Apple-compliant privacy manifests, permission request patterns, and App Tracking Transparency workflows for xOS applications.
Implements complex SwiftData schema migrations using two-stage patterns to overcome model versioning limitations.
Implements high-performance SwiftUI gestures and complex interaction patterns for Apple platforms.
Implements high-performance SwiftUI animations using modern patterns, from foundational VectorArithmetic to the iOS 26 @Animatable macro.
Diagnoses and resolves complex SwiftUI navigation issues, including path state management, view identity errors, and deep linking failures.
Identifies and resolves SwiftUI view update failures, preview crashes, and layout issues using systematic diagnostic decision trees.
Implements modern, container-aware SwiftUI layouts that adapt seamlessly to different screen sizes, iPad multitasking, and free-form windows.
Streamlines the deployment of machine learning models and speech-to-text features on Apple platforms through CoreML optimization and implementation guidance.
Guides developers through migrating from Realm database to SwiftData with pattern mappings, threading conversion, and CloudKit sync strategies.
Diagnoses and resolves performance bottlenecks, memory leaks, and battery drain issues across the Apple ecosystem.
Provides a comprehensive API guide for building adaptive, modern user interfaces using SwiftUI layout tools and protocols.
Provides comprehensive implementation patterns and best practices for modern SwiftUI features in iOS 26 and across Apple platforms.
Orchestrates complex iOS user interface development tasks across SwiftUI, UIKit, and Apple Human Interface Guidelines.
Provides a comprehensive reference for SwiftUI layout containers, grids, and scroll behaviors through iOS 26.
Provides a comprehensive reference guide for adopting the Liquid Glass design system and dynamic layered iconography across modern Apple platforms.
Streamlines iOS network implementation and debugging using modern Apple frameworks and Swift structured concurrency.
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