Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Identifies optimal target journals for research papers using real-time data from OpenAlex and Crossref APIs to build data-driven submission strategies.
Conducts multi-dimensional architecture assessments to ensure structural integrity and long-term maintainability through the lens of 'why over how.'
Enforces standardized one-way dependency architectures for mobile applications across Flutter, iOS, and Android.
Guides researchers through selecting and implementing optimized qualitative research designs, including phenomenology, grounded theory, and ethnography.
Streamlines and automates complex task sequences within AI agent lifecycles to improve development efficiency.
Generates standardized AGENTS.md and CLAUDE.md files to provide essential project context for AI coding assistants.
Develops comprehensive academic search strategies and evidence synthesis frameworks using the 5-phase VS-Research methodology.
Designs and implements comprehensive, behavior-driven software tests across multiple platforms and testing scopes.
Builds and validates psychometrically sound measurement instruments for social science research.
Generates standardized context files to optimize AI agent performance and project understanding within any repository.
Automates and guides systematic qualitative data coding, theme development, and rigorous research methodology implementation.
Standardizes the process of documenting progress, rotating logs, and creating safe git commits before ending a Claude Code session.
Orchestrates comprehensive meta-analysis workflows with multi-gate validation to ensure data integrity and statistical accuracy.
Monitors and validates the health of the .aget/evolution directory by checking file conventions, disk usage, and index integrity.
Builds cost-free RAG systems using parallel document processing and local vector embeddings.
Enables high-performance browser automation and web interaction using multiple parallel Chrome instances for complex multi-agent workflows.
Architects sophisticated theoretical frameworks and conceptual models for academic research using a 5-phase differentiation process.
Processes and prepares data files for AI agent testing and deployment workflows.
Integrates the X (Twitter) API v2 into Claude Code to post tweets, search content, manage engagement, and analyze social metrics.
Transforms complex research findings into high-quality academic abstracts, public summaries, and multi-channel communication materials using audience-specific message design.
Automates complex quantitative and qualitative research workflows with 5-phase methodological guidance and multi-language code generation.
Greets users with a standardized introductory message to establish friendly and professional interaction patterns.
Configures the Diverga AI Research Assistant by creating a personalized researcher profile to tailor agent behavior and tool recommendations.
Converts ad scripts into detailed, production-ready storyboards with precise timing and specialized AI generation prompts.
Creates, scaffolds, and refactors structured Jupyter notebooks for data experiments and technical tutorials.
Manages long-term research context and decision history through automated checkpoints and multi-layer persistence.
Implements modern React and Next.js design patterns for performant, scalable, and accessible user interfaces.
Automates and manages the end-to-end 7-stage PRISMA 2020 systematic literature review pipeline from research question to RAG system.
Orchestrates complex social science research and systematic reviews using 24 specialized agents and integrated academic database tools.
Standardizes meta-analysis data extraction through a multi-layered AI-human collaboration framework and automated statistical provenance.
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