Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and industry-standard financial modeling.
Implements high-performance semantic vector search for RAG systems, knowledge bases, and intelligent similarity matching.
Facilitates creative research ideation through hypothesis generation, interdisciplinary connections, and rigorous methodological development.
Implements high-performance persistent memory and reinforcement learning patterns for AI agents using AgentDB.
Accelerates scientific discovery by generating hypotheses, identifying research gaps, and facilitating interdisciplinary ideation through structured collaborative dialogue.
Implements advanced prompt engineering techniques to optimize LLM performance, reliability, and controllability in production environments.
Designs and implements sophisticated LLM applications using the LangChain framework with advanced patterns for agents, memory, and tool integration.
Detects and analyzes system hardware to provide strategic architectural recommendations for computationally intensive scientific tasks.
Analyzes phosphoproteomics data using R to identify differential post-translational modification abundance, stoichiometry, and kinase activity.
Orchestrates end-to-end machine learning lifecycles from data preparation and training to production deployment and monitoring.
Integrates nine reinforcement learning algorithms to build, train, and deploy self-learning AI agents that evolve through experience.
Queries, interprets, and processes human genetic variant data from the NCBI ClinVar archive for genomic research.
Master advanced techniques to maximize LLM performance, reliability, and controllability in production environments.
Streamlines Snakemake pipeline development using modular patterns and compact rule definitions for reproducible data science.
Automates laboratory liquid handling and hardware control for Opentrons Flex and OT-2 robots using Protocol API v2.
Develops and optimizes Python-based liquid handling protocols for Opentrons Flex and OT-2 robots.
Facilitates seamless Python-based interaction with the B-Fabric Laboratory Information Management System for managing research data and workflows.
Implements high-performance semantic vector search and intelligent document retrieval for RAG systems using HNSW indexing and quantization.
Implements robust Retrieval-Augmented Generation (RAG) systems for LLM applications using vector databases and semantic search.
Generates high-performance interactive visualizations using Plotly Express and Graph Objects patterns.
Implements ultra-fast semantic vector search and RAG capabilities using AgentDB's high-performance indexing and quantization.
Implements high-performance adaptive learning and trajectory tracking for self-improving AI agents using AgentDB's ultra-fast vector backend.
Streamlines single-cell RNA-seq analysis using standardized AnnData and Scanpy workflows.
Trains and deploys complex neural networks within distributed E2B sandboxes for scalable machine learning workflows.
Converts existing Snakemake analysis projects into pip-installable CLI tools for automated workflow deployment.
Analyzes system hardware to provide strategic recommendations for high-performance computing and scientific tasks.
Streamlines single-cell transcriptomics workflows using standardized scverse, AnnData, and Scanpy implementation patterns.
Generates interactive statistical and scientific visualizations using Plotly Express and Graph Objects APIs.
Architects sophisticated LLM applications using LangChain with advanced agent patterns, persistent memory, and modular tool integrations.
Empowers AI agents with persistent, high-performance memory and learning patterns using AgentDB and ReasoningBank.
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