Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Generates comprehensive business performance reports and strategic recommendations from sales and revenue data.
Optimizes vector search performance and resource efficiency for production-scale LLM applications.
Optimizes vector search and RAG applications by implementing advanced embedding model selection and chunking strategies.
Implements robust data validation and quality assurance using Great Expectations, dbt tests, and data contracts.
Streamlines academic literature review and research paper discovery with automated prioritization and screening workflows.
Build and automate end-to-end MLOps pipelines from data preparation and model training to production deployment.
Builds sophisticated Retrieval-Augmented Generation (RAG) systems to ground LLM responses in external knowledge bases and private documentation.
Automates professional-grade spreadsheet creation, financial modeling, and data analysis with formula preservation and industry-standard formatting.
Combines vector similarity and keyword-based search to improve retrieval accuracy and recall in RAG systems.
Calculates comprehensive portfolio risk metrics and performance indicators to enhance financial risk management and reporting.
Orchestrates complex multi-agent systems using specialized patterns for dynamic reasoning and deterministic workflows.
Implements Retrieval-Augmented Generation (RAG) using the Vertex AI Engine to ground agent responses in private data sources.
Accelerates Google Agent Development Kit (ADK) projects with standardized environment setup, Vertex AI configuration, and robust agent scaffolding.
Streamlines the creation and configuration of production-grade AI agents using the Google Agent Development Kit (ADK) and Vertex AI.
Optimizes document chunking and embedding workflows for high-performance RAG systems using Vertex AI.
Generates comprehensive multi-LLM research strategies and model-optimized prompts for systematic analysis and strategic planning.
Implements self-improving code architectures that use formal proofs and evolutionary search to safely enhance system utility.
Automates PDF manipulation and generates publication-quality scientific diagrams for advanced technical documentation.
Analyzes experimental results from a positive perspective to identify growth opportunities and successful patterns.
Evaluates the internal validity, external validity, and reproducibility of experimental methodologies within research and data science workflows.
Refines technical hypotheses and proposes strategic modifications based on experimental outcomes and system data.
Generates rigorous, reproducible experimental plans and resolves GPU infrastructure issues for data science workflows.
Synthesizes multi-perspective debate results into unified assessments and actionable plans.
Builds structured data pipelines, SQL queries, and AI agents using the Oxy framework's hierarchical logic.
Conducts rigorous academic research and generates theoretical proposals with strong mathematical foundations.
Converts research papers into NeurIPS LaTeX format and automates the document compilation process.
Analyzes AI experiment results and expert debates to determine whether a project should pivot or proceed.
Challenges mainstream assumptions and identifies project blind spots by uncovering counter-evidence through deep academic and web research.
Provides rigorous, conference-grade peer reviews for machine learning research papers targeting NeurIPS and ICML standards.
Conducts deep comparative research against State-of-the-Art (SOTA) works to define and position project contributions.
Scroll for more results...