Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Optimizes Mem0 performance through advanced query tuning, multi-layer caching strategies, and cost-reduction patterns.
Integrates Hugging Face Transformers for advanced natural language processing, computer vision, and audio tasks.
Provides specialized technical auditing and compliance reviews for Physics-Guided GNN research papers targeting IEEE Power & Energy Society submissions.
Facilitates high-throughput sequencing data analysis, visualization, and quality control for genomics workflows.
Implements robust multi-agent systems using Pydantic tool schemas, state management, and advanced orchestration patterns.
Performs rigorous statistical modeling, econometric analysis, and hypothesis testing using the Python statsmodels library.
Optimizes Text-to-Speech model training and voice cloning using the Unsloth library for faster performance and lower VRAM usage.
Provides a systematic framework for evaluating scientific manuscripts, research grants, and technical methodologies with rigorous critical analysis.
Interfaces with the European Nucleotide Archive to retrieve genomic sequences, raw reads, and metadata for bioinformatics workflows.
Automates the end-to-end process of conducting systematic literature reviews and generating academic-grade reports with verified citations.
Automates the creation, editing, and analysis of professional-grade Excel spreadsheets with dynamic formulas and industry-standard formatting.
Queries the Open Targets Platform to identify and prioritize therapeutic drug targets using genetic and clinical data.
Builds and deploys serverless bioinformatics workflows using the Latch SDK and cloud-native infrastructure.
Detects hardware capabilities and provides optimized computational strategies for resource-intensive scientific tasks.
Implements adaptive learning and meta-cognitive capabilities to help AI agents optimize strategies through experience and pattern recognition.
Evaluates research rigor and methodology to assess the validity of scientific claims and experimental designs.
Generates publication-ready, journal-standard scientific figures and multi-panel layouts using Matplotlib, Seaborn, and Plotly.
Generates professional, evidence-based clinical decision support documents and pharmaceutical cohort analyses in publication-ready LaTeX format.
Instantiates sophisticated multi-agent architectures to handle complex reasoning, research, and implementation tasks.
Queries the Reactome database to perform biological pathway analysis, gene enrichment, and molecular interaction mapping for systems biology research.
Evaluates the rigor of scientific research by assessing methodology, statistical validity, and potential biases using established frameworks like GRADE and Cochrane.
Converts diverse file formats and office documents into clean, LLM-ready Markdown for improved AI processing.
Implements high-performance semantic vector search and intelligent document retrieval for RAG-based Claude Code workflows.
Optimizes LLM performance and reliability through automated model selection, cost estimation, and intelligent fallback strategies.
Integrates Google Gemini's multimodal capabilities to process audio, video, images, and documents directly within the Claude Code environment.
Manage GrepAI semantic search workspaces including creation, project management, and indexing status monitoring.
Manages persistent AI agent memory and reasoning patterns using high-performance vector storage and learning algorithms.
Performs high-performance, vectorized string manipulation and text cleaning using NumPy's specialized string modules.
Configures and troubleshoots embedding providers and models for the GrepAI semantic search tool.
Integrates Google Gemini's multimodal analysis, massive context processing, and image generation capabilities directly into Claude Code.
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