Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Calculates geodesic paths, spherical trigonometry, and Riemannian manifold metrics for complex navigation and spatial modeling.
Analyzes social network dynamics and traces the diffusion of ideas using advanced topological math and cellular sheaf structures.
Optimizes Python codebases through systematic profiling, algorithmic efficiency, and advanced acceleration techniques.
Optimizes interaction sequences using information theory to maximize learning efficiency and pattern recognition.
Streamlines data manipulation, information processing, and analytical workflows within Claude Code.
Implements 3-SAT reductions via colored subgraph isomorphism and non-backtracking geodesics for topological computing.
Implements and manages neural networks that adapt, grow, or prune their topology during training to optimize capacity and prevent catastrophic forgetting.
Analyzes OpenStreetMap road networks and geographic data using topological graph structures and GF(3) validation.
Implements high-performance semantic vector search for intelligent document retrieval and RAG systems using AgentDB.
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.
Implements modern R programming standards using the latest tidyverse features and native pipe syntax.
Manages fast, reproducible scientific Python environments by unifying conda and PyPI ecosystems with multi-platform lockfile support.
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.
Standardizes the creation of distributable Python packages using modern Scientific Python community best practices and Hatchling build backends.
Implements robust R metaprogramming and tidy evaluation patterns using the rlang framework.
Streamlines data manipulation and analysis workflows using industry-standard Python libraries like Pandas.
Analyzes CSV files automatically to generate comprehensive statistical summaries and tailored visualizations using Python and pandas.
Analyzes the Ark (Agentic Resource Kit) codebase to provide architectural insights, source code examination, and implementation guidance for agentic applications.
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 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.
Implements systematic evaluation frameworks for LLM applications using automated metrics, human-in-the-loop feedback, and A/B testing.
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