Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Audits codebase quality by identifying technical debt, test coverage gaps, code duplication, and documentation issues across multiple programming languages.
Automates the creation of multi-post daily blog entries by aggregating content from Mastodon and Linkding bookmarks.
Analyzes and visualizes complex network structures and graph data within Python environments.
Scaffolds production-ready Go command-line tools with integrated configuration, database migrations, and CI/CD workflows.
Generates a project-specific AGENTS.md file to define roles, constraints, and testing strategies for AI-driven development.
Conducts high-performance computational fluid dynamics (CFD) simulations using Python-based pseudospectral methods and MPI parallelization.
Automates the creation of conversational, Jekyll-formatted weeknotes by aggregating content from Mastodon activity and Linkding bookmarks.
Optimizes browser automation and web scraping for Claude using context-efficient Playwright scripts and subagent isolation.
Automates the organization, indexing, and archiving of project documentation using structured directory patterns and metadata.
Converts diverse file formats and office documents into clean, LLM-friendly Markdown text.
Automatically identifies and maps project files to specialized domain agents for comprehensive code audits and workflows.
Standardizes and validates Docker Compose configurations for PostgreSQL-based monorepos with strict naming and health check standards.
Generates hand-drawn, branded line art illustrations with customizable accent colors for technical and marketing content.
Analyzes and validates protein structures, interprets AlphaFold predictions, and performs comparative molecular modeling.
Manages cloud infrastructure through natural language conversations using the Pulumi Neo AI-powered automation agent.
Access and benchmark hundreds of LLM models through a unified API to optimize for cost, performance, and response quality.
Deploys and manages cloud infrastructure using Pulumi with TypeScript and Pulumi ESC integration.
Automates infrastructure as code development using Go with integrated Pulumi ESC secret management and OIDC authentication.
Automates end-to-end scientific research workflows from data analysis and hypothesis generation to publication-ready LaTeX papers.
Automates cloud infrastructure provisioning and management using Pulumi with Python and Pulumi ESC integration.
Facilitates advanced Bayesian statistical modeling in R using Stan-based packages for comprehensive data analysis and inference.
Manages persistent development sessions and work context across Claude Code conversation resets.
Implements end-to-end machine learning pipelines in R using the tidymodels ecosystem, from data splitting to model deployment.
Simplifies complex bioinformatics workflows in R using Bioconductor for RNA-seq, microarray, and single-cell genomic analysis.
Refactors sloppy code by enforcing type strictness, single responsibility principles, and robust error handling patterns.
Optimizes machine learning models using comprehensive hyperparameter tuning patterns within the R Tidymodels ecosystem.
Performs fast, scalable nonlinear dimensionality reduction for high-dimensional data visualization, clustering, and feature engineering.
Evaluates machine learning model performance using R's yardstick and tidymodels ecosystem for robust classification and regression analysis.
Performs comprehensive clinical trial design and statistical analysis in R, covering sample size calculation, randomization, and regulatory-compliant modeling.
Standardizes R package and project documentation using professional roxygen2 templates, README structures, and vignette patterns.
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