Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Analyzes Interactive Brokers CSV statements to uncover trading edges, identify risk management patterns, and generate professional performance reports.
Optimizes mean-reversion trading strategy parameters through real-time performance analysis and pattern identification.
Converts text and long-form markdown documents into high-quality audio locally using the Kokoro-82M model optimized for Apple Silicon.
Empowers AI agents to perform complex scientific research tasks using a unified ecosystem of 600+ specialized tools and databases.
Accesses and analyzes chemical data from the world's largest open chemical database using PUG-REST and PubChemPy.
Builds complex process-based discrete-event simulations in Python to model systems with shared resources and time-based events.
Optimizes Radio Access Network performance using autonomous swarm coordination and cognitive temporal reasoning.
Engineers and optimizes high-quality LLM prompts across multiple models using established best practices and systematic refinement techniques.
Orchestrates sophisticated multi-agent systems with intelligent routing, handoffs, and collaborative workflows across AI providers.
Recalibrates upcoming training sessions dynamically based on recent performance, user feedback, and safety constraints.
Transforms Claude into a specialized prompt architect for designing, optimizing, and debugging complex AI instructions and agent behaviors.
Automates the creation, editing, and analysis of professional spreadsheets with support for complex formulas and financial modeling standards.
Integrates Google Gemini's advanced multimodal capabilities to process, analyze, and generate professional audio, image, and video content directly within your workflow.
Streamlines the creation of Pivot data pipeline stages using Python type annotations for automated file I/O and caching.
Builds production-ready AI/ML prototypes and POCs on AWS with cost optimization and Well-Architected best practices.
Solves complex combinatorial optimization problems including vehicle routing, scheduling, and resource allocation using Google's open-source suite.
Accesses, downloads, and analyzes French public open data from data.gouv.fr using a specialized Python library and integrated documentation.
Identifies unusual patterns and outliers in complex datasets using advanced machine learning algorithms.
Analyzes text data to identify emotional tone and classify sentiment as positive, negative, or neutral.
Integrates high-performance analytical SQL capabilities into Python workflows for efficient data processing and large-scale querying.
Optimizes LLM prompts to minimize token usage, reduce operational costs, and enhance model response quality through automated refinement.
Refines and compresses LLM prompts to minimize token usage, lower operational costs, and maximize response quality.
Transforms and analyzes large datasets using DuckDB SQL directly within the Claude Code environment.
Guides users through a scientifically rigorous five-phase hypothesis testing process to eliminate bias and p-hacking in data analysis.
Generates publication-quality scientific figures and multi-panel plots adhering to journal standards and accessibility guidelines.
Audits and validates dataset catalog entries to ensure metadata consistency, template compliance, and RAG-readiness.
Validates the ethical implications and fairness of AI/ML models and datasets to ensure responsible development and bias mitigation.
Streamlines the development, validation, and systematic documentation of trading strategies and market edges.
Master core machine learning pillars including data preprocessing, feature engineering, and robust model evaluation pipelines.
Applies rigorous statistical methods and hypothesis testing to derive data-driven insights and validate experimental results.
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