Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Analyzes single-cell RNA-seq data with standardized workflows for quality control, clustering, and cell type annotation.
Accesses the BRENDA database via SOAP API to retrieve kinetic parameters, reaction equations, and organism-specific enzyme data for biochemical research.
Architects high-performance system instructions and prompt patterns to optimize Large Language Model outputs and consistency.
Implements high-performance systems and complex algorithms with absolute scientific rigor and formal correctness.
Transforms initial software concepts into comprehensive, well-architected technical designs and implementation roadmaps.
Builds low-latency, production-grade voice applications using real-time APIs, advanced synthesis, and streaming transcription services.
Generates publication-quality scientific diagrams and technical schematics with automated AI quality review and smart iteration.
Indexes and manages external reference documents to power Retrieval-Augmented Generation (RAG) for domain-specific AI workflows.
Generates and updates professional PyTorch-style docstrings using Sphinx and reStructuredText conventions.
Orchestrates complex mathematical computations by deterministically routing natural language requests to specialized CLI tools for symbolic math, logic, and geometry.
Streamlines genomics pipeline development and data management on the DNAnexus cloud platform using the dxpy Python SDK.
Connects Claude to cloud laboratory services for automated protein testing, sequence optimization, and wet-lab validation.
Searches and retrieves life sciences preprints from the bioRxiv database with advanced filtering and PDF download capabilities.
Enables development and training of Graph Neural Networks (GNNs) using the PyTorch Geometric library.
Queries the NHGRI-EBI GWAS Catalog to retrieve SNP-trait associations, genetic variant data, and genome-wide association study summary statistics.
Transforms vague research interests into concrete, actionable, and tractable research questions with a systematic feasibility analysis.
Optimizes reinforcement learning agents by refining validation gates, disabling harmful entropy adjustments, and implementing cross-run memory.
Accesses the Human Metabolome Database (HMDB) to retrieve metabolite data, chemical properties, and clinical biomarkers for metabolomics research.
Corrects multi-action trading logic bugs and optimizes backtesting notebooks for Google Colab environments.
Implements granular skip-existing checks in Snakemake wrapper scripts to resume interrupted HPC jobs without re-processing completed channels.
Optimizes KINTSUGI batch processing by enforcing GPU-only SLURM scheduling to achieve up to 25x speedups over CPU fallback.
Enhances multiplex immunofluorescence images by applying range-specific weights to remove background noise while preserving delicate biological signals.
Manages large-scale scientific dataset transfers between remote Globus endpoints and high-performance computing clusters.
Generates high-performance, structured prompts using official Anthropic conventions and 2025 best practices.
Simplifies querying the openFDA API to analyze regulatory data, drug safety profiles, medical device clearances, and food recalls.
Integrates Hugging Face Transformers for advanced natural language processing, computer vision, and audio tasks within development workflows.
Provides a comprehensive suite of statistical modeling tools for rigorous inference, hypothesis testing, and econometric analysis in Python.
Automates biomedical literature searches and data retrieval from the PubMed database using advanced MeSH queries and the E-utilities API.
Integrates the Google Gemini CLI into Claude to provide large-context analysis, safe sandbox execution, and structured code modifications.
Streamlines the design and architecture of domain-specific AI agents using Claude Agent SDK patterns.
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