Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Automates the discovery and implementation of Runware AI image and video generation models into the CreativeEditor SDK.
Automates complex econometric analysis by integrating LLM planning with RAG knowledge, Stata modeling, and Python data processing.
Automates the creation, editing, and analysis of Excel spreadsheets with support for complex formulas and industry-standard financial modeling.
Streamlines data manipulation and analysis workflows using industry-standard Python libraries like Pandas.
Enforces professional R coding standards, naming conventions, and Tidyverse-aligned function design patterns.
Standardizes the creation of distributable Python packages using modern Scientific Python community best practices and Hatchling build backends.
Automates linting, formatting, and static type checking for scientific Python projects using Ruff, MyPy, and pre-commit hooks.
Implements modern R programming standards using the latest tidyverse features and native pipe syntax.
Automates advanced spreadsheet creation, editing, and financial modeling with dynamic formulas and industry-standard formatting.
Automates the creation, editing, and analysis of professional Excel spreadsheets with advanced formula support and financial modeling standards.
Implements robust R metaprogramming and tidy evaluation patterns using the rlang framework.
Extracts structured text and tables from PDF documents using multiple intelligent backends to create LLM-ready markdown.
Develops and manages sophisticated LLM agents within the Treasure Data ecosystem using a YAML-based configuration workflow.
Provides structured patterns and best practices for crafting reliable system prompts for AI agents.
Generates and optimizes high-quality prompts for modern large language models using advanced techniques like chain-of-thought, few-shot learning, and structured formatting.
Automates the construction of complex OrcaFlex offshore engineering models using a modular component assembly approach and pre-validated templates.
Standardizes the auditing of planning documents for the Mycelia multiomics platform by cross-referencing source code, tests, and infrastructure.
Standardizes the integration, citation, and testing of external bioinformatics tools within the Mycelia multiomic framework.
Manages fast, reproducible scientific Python environments by unifying conda and PyPI ecosystems with multi-platform lockfile support.
Implements high-performance semantic vector search for RAG systems and intelligent document retrieval using AgentDB's ultra-fast indexing.
Optimizes Mycelia multiomic analysis workflows for High Performance Computing (HPC) environments and SLURM workload managers.
Optimizes R code through professional profiling, benchmarking, and implementation of high-performance backend patterns.
Facilitates methodologically rigorous ML and AI benchmarking experiments using xetrack and DuckDB.
Manages machine learning experiment versioning and reproducibility using Git, DVC, and xetrack.
Retrieves and analyzes South Korean corporate disclosures, financial statements, and shareholder reports via the OpenDART REST API.
Generates high-quality AI videos using a unified interface for state-of-the-art models like Google Veo, OpenAI Sora, and Kling.
Generates comprehensive data profiling reports and automated exploratory data analysis (EDA) for various datasets.
Builds production-grade Python agents using Pydantic for strict type validation and dependency injection.
Queries a specialized vector database of Bruce Hansen's econometrics textbook to provide accurate academic references and theoretical context.
Enforces strict Julia coding standards and import rules for high-performance multiomic analysis and biological data integration.
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