Data Science & ML Agent Skills
Discover Agent Skills for data science & ml. Browse 61skills for Claude, ChatGPT & Codex.
Deep Learning Model Optimizer
Optimizes deep learning models to improve accuracy, reduce training duration, and minimize resource consumption through advanced algorithms and architectural analysis.
Dataset Splitter
Partitions datasets into training, validation, and testing sets to prepare data for machine learning workflows.
Hyperparameter Tuner
Optimizes machine learning model configurations using advanced search strategies to maximize predictive performance and efficiency.
NLP Text Analyzer
Performs advanced natural language processing to extract sentiment, identify keywords, and model topics from textual data.
AI Ethics Validator
Evaluates AI models and datasets for bias, fairness, and ethical compliance using industry-standard metrics and frameworks.
Dataset Splitter
Automates the partitioning of data into training, validation, and testing sets for machine learning model development.
ADK Engineer
Engineers production-ready Agent Development Kit (ADK) applications with robust architecture, comprehensive testing, and automated deployment pipelines.
ML Model Trainer
Automates the end-to-end machine learning lifecycle including data analysis, model selection, training, evaluation, and artifact generation.
AI SDK Agent Orchestration
Orchestrates complex multi-agent systems using AI SDK v5 with intelligent routing, task delegation, and cross-provider workflows.
Semantic Search Tools
Performs meaning-based search across code and documents using embedding-based similarity matching to find relevant information without exact keywords.
Model Registry Maintainer
Updates and manages the MassGen model registry, including model capabilities, release dates, and pricing information across system backends.
Mental Health Data Analyzer
Analyzes mental health metrics, identifies emotional patterns, and correlates psychological well-being with sleep, exercise, and nutrition data.
Financial Modeling Suite
Builds professional-grade financial models including DCF analysis, Monte Carlo simulations, and scenario planning for investment valuation.
Hugging Face Evaluation Manager
Manages and automates the integration of structured evaluation results into Hugging Face model cards and metadata.
Hugging Face Dataset Creator
Manages the end-to-end lifecycle of Hugging Face Hub datasets, providing tools for repository initialization, configuration, and structured data streaming.
Hugging Face Paper Publisher
Manages and publishes research papers on the Hugging Face Hub by linking them to models and datasets, claiming authorship, and generating structured markdown articles.
Cloud Model Trainer
Trains and fine-tunes language models on Hugging Face's cloud infrastructure using the TRL library.
Machine Learning for Rust
Accelerates the development of high-performance ML and AI applications in Rust by providing domain-specific design patterns and framework guidance.
Math Tools for Claude Code
Provides deterministic, symbolic mathematical computation using SymPy to ensure absolute accuracy in complex calculations.
Math Tools
Executes deterministic mathematical computations using SymPy to ensure exact symbolic results across algebra, calculus, linear algebra, and statistics.
Codex AI Model Routing
Optimizes development efficiency by routing complex Rust architecture tasks to Sonnet 4.5 and routine utility work to Haiku 4.5.
OpenAI Whisper Transcription
Transcribes audio files into text or JSON format using OpenAI's state-of-the-art Whisper API.
AWQ LLM Quantization
Optimizes Large Language Models using activation-aware 4-bit quantization to achieve 3x inference speedups and significant memory reduction with minimal accuracy loss.
Whisper Speech Recognition
Transcribes audio, translates speech to English, and automates multilingual audio processing using OpenAI's Whisper models.
BLIP-2 Multimodal Vision
Integrates Salesforce's BLIP-2 framework to enable advanced image captioning, visual question answering, and multimodal reasoning within AI workflows.
Knowledge Distillation for LLMs
Compresses large language models using teacher-student learning techniques to reduce inference costs while maintaining high performance.
Sentence Transformers
Generates state-of-the-art text and image embeddings for RAG, semantic search, and clustering tasks.
BigCode Evaluation Harness
Evaluates AI code generation models across multiple programming languages and benchmarks using standardized pass@k metrics.
Ray Data Processing
Processes large-scale datasets for machine learning workloads using distributed streaming execution across CPU and GPU clusters.
HuggingFace Accelerate Distributed Training
Simplifies PyTorch distributed training by providing a unified API for DDP, DeepSpeed, and FSDP with minimal code changes.
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