Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Automates Excel spreadsheet analysis, data cleaning, and reporting using Python's most powerful data libraries.
Facilitates computational molecular biology tasks including sequence analysis, NCBI database queries, and structural bioinformatics.
Automates scientific hypothesis generation and testing by combining literature insights with empirical data patterns using large language models.
Analyzes Excel spreadsheets, generates pivot tables, and creates data visualizations using Python-based data science libraries.
Evaluates long-term conversational memory performance using the ACL 2024 LoCoMo benchmark suite.
Analyzes, manipulates, and visualizes Excel spreadsheets using Python-based automation to generate insights and formatted reports.
Automates the generation and systematic testing of scientific hypotheses using large language models and empirical datasets.
Implements comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking.
Automates scientific hypothesis generation and testing by combining empirical data with literature insights for accelerated research discovery.
Automates scientific hypothesis generation and testing by combining observational data with literature insights using large language models.
Streamlines computational molecular biology tasks including sequence analysis, NCBI database queries, and structural bioinformatics.
Facilitates the configuration, performance optimization, and operational management of Templar AI miners within the Bittensor decentralized training network.
Generates evidence-based, testable scientific hypotheses and structured experimental designs from observations and literature data.
Processes, filters, and analyzes mass spectrometry data using the Matchms Python library for metabolomics and spectral research.
Accesses and analyzes global public statistical data from the Data Commons knowledge graph.
Enables parallel and distributed computing in Python to scale pandas, NumPy, and custom workflows for massive datasets.
Evaluates research rigor by assessing methodology, statistical validity, and bias using established frameworks like GRADE and Cochrane.
Accesses the Ensembl REST API to retrieve genomic sequences, gene annotations, and variant analysis data for over 250 species.
Analyzes and extracts deep insights from video files and YouTube URLs using the Google Gemini API.
Implements rigorous evaluation strategies for AI applications using automated metrics, human feedback, and LLM-as-judge patterns.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
Implement comprehensive evaluation frameworks for Large Language Model applications using automated metrics, human feedback, and LLM-as-judge patterns.
Automates video format conversion, audio extraction, and high-accuracy speech-to-text transcription using FFmpeg and Whisper.
Architects and implements robust Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground AI responses.
Deploys and trains neural networks in distributed E2B sandbox environments for advanced machine learning workflows.
Builds end-to-end MLOps pipelines covering data preparation, model training, validation, and production deployment.
Build robust Retrieval-Augmented Generation (RAG) systems using vector databases and semantic search to ground AI responses in external data.
Executes autonomous biomedical research tasks across genomics, drug discovery, and molecular biology using integrated databases and code execution.
Accesses and analyzes comprehensive pharmaceutical data from DrugBank for drug discovery, interaction analysis, and pharmacological research.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to production deployment and monitoring.
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