Discover Agent Skills for data science & ml. Browse 61 skills for Claude, ChatGPT & Codex.
Provides a foundational architecture map and decision guide for managing neural network pipelines within the HAIPipe research framework.
Standardizes machine learning algorithm implementation through a universal wrapper contract for seamless training, inference, and serialization.
Transforms raw source datasets into temporally-aligned structured record sets for academic research and machine learning.
Transforms temporal RecordSets into event-triggered CaseSets for machine learning feature extraction.
Automates the generation of publication-ready tables and figures from model performance data for academic research.
Orchestrates neural network training, evaluation, and deployment through a model-agnostic pipeline and standardized asset packaging system.
Transforms structured CaseSets into ML-ready datasets with automated splitting, feature engineering, and vocabulary management.
Automates the creation and interactive refinement of LaTeX academic paper drafts from research data and architectural blueprints.
Conducts professional-grade biomedical literature searches and manages citations using the PubMed database.
Standardizes vector memory workflows and MCP tool interactions for persistent codebase intelligence and context management.
Enables seamless model-to-model collaboration by delegating research, code reviews, and architectural validation to Google Gemini.
Implements production-grade deep learning training loops using battle-tested architectural patterns for optimized performance and stability.
Enables high-speed chat completions via Groq Cloud and local text embeddings through Ollama for efficient RAG workflows.
Delegates coding tasks and cross-model feedback to multiple AI providers through the OpenCode CLI bridge.
Performs advanced molecular analysis, descriptor calculation, and chemical reaction modeling for drug discovery and computational chemistry.
Architects reliable, production-ready AI agent workflows using constrained loops and proven reliability patterns.
Performs systematic testing of input variables to identify key drivers and assess model risk across finance, engineering, and strategy.
Build and deploy production-ready multi-agent systems with MCP integration and automated workflows.
Mitigates cognitive bias in decision-making by prioritizing statistical base rates over vivid, anecdotal evidence.
Corrects probability judgments by integrating statistical base rates with case-specific information to avoid common cognitive biases.
Leverages the data flywheel mental model to build compounding competitive advantages through automated machine learning and user-generated signals.
Accelerates scientific discovery by generating hypotheses, identifying research gaps, and facilitating interdisciplinary ideation through structured collaborative dialogue.
Integrates a comprehensive suite of AI generation APIs for creating images, videos, audio, and 3D content directly within development workflows.
Implements continuous model updates and incremental learning patterns to handle evolving data streams without full retraining.
Predicts market price and quantity changes by analyzing the interaction between producer supply and consumer demand at equilibrium.
Identifies and mitigates the gambler's fallacy to improve decision-making in probabilistic and high-risk scenarios.
Implements sophisticated Retrieval-Augmented Generation architectures to ground AI responses in real-time external knowledge and eliminate hallucinations.
Evaluates research rigor by assessing methodology, statistical validity, and evidence quality using industry-standard frameworks like GRADE and Cochrane.
Creates and validates professional Vega-Lite visualizations from data files and dbt query results.
Systematically evaluates scholarly research, academic papers, and technical proposals using the peer-reviewed ScholarEval framework.
Scroll for more results...