Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Measures and optimizes data complexity by finding the shortest algorithmic representation to evaluate intelligence and information density.
Integrates sophisticated AI capabilities including multi-tier LLM fallbacks, on-device models, and local image generation.
Implements Bengio's Generative Flow Networks for diverse, reward-proportional sampling in molecule design and causal discovery.
Standardizes how AI agents discover, reference, and compose skills using a progressive disclosure architecture.
Synthesizes category theory, compression-driven intelligence, and generative flow networks into a unified framework for advanced AI research and reasoning.
Synthesizes multi-framework AI perspectives into a unified reasoning model using category theory, compression laws, and causal inference.
Implements category-theoretic frameworks for compositional intelligence, dynamical systems, and open game theory.
Optimizes Python codebases through systematic profiling, algorithmic efficiency, and advanced acceleration techniques.
Implements high-performance semantic vector search for intelligent document retrieval and RAG systems using AgentDB.
Implements modern R programming standards using the latest tidyverse features and native pipe syntax.
Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and financial modeling standards.
Automates advanced spreadsheet creation, editing, and financial modeling with dynamic formulas and industry-standard formatting.
Conducts systematic landscape research, competitive analysis, and evidence-based strategy evaluations to inform technical and business decisions.
Automates linting, formatting, and static type checking for scientific Python projects using Ruff, MyPy, and pre-commit hooks.
Implements robust R metaprogramming and tidy evaluation patterns using the rlang framework.
Standardizes the creation of distributable Python packages using modern Scientific Python community best practices and Hatchling build backends.
Analyzes the Ark (Agentic Resource Kit) codebase to provide architectural insights, source code examination, and implementation guidance for agentic applications.
Analyzes CSV files automatically to generate comprehensive statistical summaries and tailored visualizations using Python and pandas.
Enforces strict Julia coding standards and import rules for high-performance multiomic analysis and biological data integration.
Streamlines data manipulation and analysis workflows using industry-standard Python libraries like Pandas.
Automates the creation, editing, and analysis of Excel spreadsheets with support for complex formulas and industry-standard financial modeling.
Automates complex econometric analysis by integrating LLM planning with RAG knowledge, Stata modeling, and Python data processing.
Automates the discovery and implementation of Runware AI image and video generation models into the CreativeEditor SDK.
Recommends the most efficient Anthropic architecture for AI projects by analyzing requirements and selecting the optimal mix of skills, agents, and SDK primitives.
Automates the construction of complex OrcaFlex offshore engineering models using a modular component assembly approach and pre-validated templates.
Automates the creation, editing, and analysis of Excel spreadsheets with a focus on dynamic formulas and financial modeling standards.
Orchestrates end-to-end MLOps pipelines from data preparation and model training to automated production deployment and monitoring.
Implements advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production environments.
Automates comprehensive CSV data analysis and visualization by instantly generating statistical reports and charts without requiring user prompts.
Generates comprehensive data profiling reports and automated exploratory data analysis (EDA) for various datasets.
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