Explora nuestra colección completa de Habilidades de Claude que extienden las capacidades de los agentes de IA.
Optimizes probability distributions to satisfy complex statistical constraints like KL divergence, entropy, and moment conditions through systematic mathematical analysis and numerical search.
Configures and manages virtualized Windows 3.11 environments using QEMU with integrated VNC and web-based remote access.
Implements complex mathematical functions as gate-level combinational and sequential logic circuits for text-based simulators.
Automates the complete Azure DevOps lifecycle including Boards, Repositories, Pipelines, and Artifacts management.
Generates high-precision regular expressions for extracting structured data like timestamps and IP addresses from complex log files.
Designs optimized DNA gBlock sequences for fusion proteins by combining sequences from multiple databases with precise linker and codon constraints.
Implements PyTorch pipeline parallelism to distribute large language model training across multiple GPUs using All-Forward-All-Backward (AFAB) scheduling.
Designs and optimizes multi-component fusion protein sequences for FRET biosensors and gene synthesis.
Upgrades legacy Python 2 scientific computing code and analysis pipelines to modern Python 3 standards using contemporary libraries like NumPy and pandas.
Optimizes semantic similarity retrieval tasks through expert guidance on document preprocessing, embedding model selection, and similarity ranking.
Reconstructs PyTorch model architectures from weight files and state dictionaries by analyzing tensor shapes and naming patterns.
Designs specialized primers for inserting DNA sequences into circular plasmids using Q5 site-directed mutagenesis and inverse PCR techniques.
Implements SAM-based biological image segmentation pipelines, converting binary masks to polygon coordinates for microscopy data processing.
Implements programmatic terminal interfaces to control interactive shell sessions and automate command-line program interactions.
Optimizes Claude Code sessions through intelligent token monitoring, context extraction, and selective rehydration.
Enables parallel and distributed computing in Python to scale pandas and NumPy operations beyond memory limits.
Empowers single-cell omics analysis with deep generative models for dimensionality reduction, batch correction, and multimodal data integration.
Provides specialized expertise in Elixir 1.17+, Phoenix 1.7, and LiveView for building high-concurrency, real-time applications.
Indexes PDF document collections using LightRAG to enable semantic search and context-aware research within Claude Code.
Generates professional infographics automatically by combining real-time web research with NotebookLM's visual creation capabilities.
Implements advanced multi-objective and many-objective optimization frameworks using state-of-the-art evolutionary algorithms and Pareto analysis.
Implements production-grade Kubernetes security policies including NetworkPolicy, RBAC, and Pod Security Standards to harden cluster infrastructure.
Generates and optimizes custom behavioral instructions and SKILL.md files for Claude Code.
Master Python asyncio and concurrent programming patterns to build high-performance, non-blocking applications.
Launches a local web interface to review uncommitted code changes and diffs in the browser.
Builds and manages professional documentation for scientific Python projects using Sphinx, MkDocs, and community-standard best practices.
Implements proven backend architecture patterns like Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable and scalable systems.
Generates standardized, descriptive commit messages by analyzing git diffs using the Conventional Commits format.
Orchestrates a systematic, 5-step research pipeline to transform vague interests into actionable, evidence-based domain insights.
Identifies differentially expressed genes from bulk RNA-seq counts using the PyDESeq2 statistical framework.
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