Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Optimizes and crafts high-performance LLM prompts using research-backed techniques like Chain-of-Thought and Few-Shot learning.
Streamlines the design and deployment of production-grade machine learning inference endpoints using FastAPI and Docker.
Builds and deploys serverless bioinformatics workflows on the Latch platform using Python-native SDKs.
Queries the ClinicalTrials.gov API v2 to search, filter, and export detailed clinical study data for research and patient matching.
Searches and retrieves life sciences preprints from the bioRxiv database with advanced filtering and PDF download capabilities.
Accesses and queries the world's largest database of somatic mutations and curated cancer genes for research and precision oncology.
Generates professional plots, charts, and graphs automatically by analyzing data structures and selecting the optimal visualization type.
Accesses the world's largest database of somatic mutations for cancer research and precision oncology data analysis.
Integrates Claude with the DNAnexus platform to develop genomics apps, manage sequencing data, and orchestrate bioinformatics pipelines.
Streamlines materials science research by providing advanced tools for crystal structure manipulation, phase diagram construction, and electronic structure analysis.
Accesses and integrates the world's largest somatic mutation database for cancer genomics and precision oncology research.
Constructs sophisticated, stateful AI agent workflows and graph-based logic using LangGraph best practices.
Orchestrates a fleet of over 48 specialized AI agents for autonomous cryptocurrency trading, market analysis, and risk management across multiple exchanges.
Streamlines access to the COSMIC database for retrieving somatic mutations, cancer gene census lists, and mutational signatures for oncology research.
Integrates multiple LLM providers using isolated interfaces and normalized data structures for consistent AI implementation.
Orchestrates over 48 specialized AI agents for autonomous cryptocurrency trading and market analysis across multiple decentralized exchanges.
Query and analyze over 240 million scholarly works using the OpenAlex open academic database.
Performs advanced natural language processing to extract insights, sentiment, and key topics from text data.
Maintains and updates LLM model registries, pricing structures, and context window limits across backend configuration files.
Parses and manages Flow Cytometry Standard (FCS) files to extract event data as NumPy arrays and handle complex metadata.
Builds professional-grade financial models including DCF analysis, Monte Carlo simulations, and multi-scenario investment projections.
Configures Google ADK bidirectional streaming to build low-latency, multimodal AI agents with real-time voice and video capabilities.
Automates complex time-series forecasting pipelines including trend analysis, seasonality detection, and multi-model predictions.
Performs advanced molecular modeling and cheminformatics tasks including descriptor calculation, fingerprinting, and substructure searching.
Provides standardized API patterns and implementation guidance for Meta's Segment Anything Model 3 (SAM3) across image and video tasks.
Analyzes single-cell RNA-seq data using Python for quality control, clustering, and cell type annotation.
Implements ultra-fast semantic vector search and HNSW indexing for high-performance RAG systems and intelligent document retrieval.
Automates end-to-end scientific research workflows from initial data analysis to publication-ready LaTeX manuscripts.
Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publication-ready LaTeX manuscripts.
Automates hyperparameter tuning and model selection using intelligent search strategies like Bayesian optimization.
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