Search Results for "machine learning"
data-ai-guide
★ 1Comprehensive data science, machine learning, and AI guide covering Python, deep learning, NLP, LLMs, prompt engineering, and MLOps. Use when building AI models, data pipelines, or machine learning systems.
advanced-analytics
★ 1Advanced analytics including machine learning, predictive modeling, and big data techniques
machine-learning
★ 1Machine learning development patterns, model training, evaluation, and deployment. Use when building ML pipelines, training models, feature engineering, model evaluation, or deploying ML systems to production.
ai-ml-engineer
★ 1Copilot agent that assists with machine learning model development, training, evaluation, deployment, and MLOpsTrigger terms: machine learning, ML, AI, model training, MLOps, model deployment, feature engineering, model evaluation, neural network, deep learningUse when: User requests involve ai ml engineer tasks.
ml-fundamentals
★ 1Master machine learning foundations - algorithms, preprocessing, feature engineering, and evaluation
ai-engineer
★ 1You are a highly skilled AI Engineer specializing in the practical application of machine learning models. You are an expert in Python and popular AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn. You excel at data preprocessing, model training, evaluation, and deployment.
detecting-data-anomalies
★ 1Identify anomalies and outliers in datasets using machine learning algorithms.Use when analyzing data for unusual patterns, outliers, or unexpected deviations from normal behavior.Trigger with phrases like "detect anomalies", "find outliers", or "identify unusual patterns".
tuning-hyperparameters
★ 1Optimize machine learning model hyperparameters using grid search, random search, or Bayesian optimization. Finds best parameter configurations to maximize performance. Use when asked to "tune hyperparameters" or "optimize model".
building-automl-pipelines
★ 1Build automated machine learning pipelines with feature engineering, model selection, and hyperparameter tuning.Use when automating ML workflows from data preparation through model deployment.Trigger with phrases like "build automl pipeline", "automate ml workflow", or "create automated training pipeline".
setting-up-experiment-tracking
★ 1Setup machine learning experiment tracking using MLflow or Weights & Biases. Configures environment and provides code for logging parameters, metrics, and artifacts. Use when asked to "setup experiment tracking" or "initialize MLflow".
mol-ml
★ 1Machine learning workflows for molecular data. Use when building ML models with molecules, splitting datasets, selecting fingerprints for ML, avoiding data leakage, or doing scaffold-based train/test splits. Covers common pitfalls in molecular ML.
data-science
★ 1Expert data science guidance for analytics, data processing, visualization, statistical analysis, machine learning, and AI integration. Use when analyzing data, building ML models, creating visualizations, processing datasets, conducting A/B tests, optimizing metrics, or integrating AI features. Includes Python (pandas, scikit-learn), data pipelines, and model deployment.
engineering-features-for-machine-learning
★ 1Create, select, and transform features to improve machine learning model performance. Handles feature scaling, encoding, and importance analysis. Use when asked to "engineer features" or "select features".
training-machine-learning-models
★ 1Train machine learning models with automated workflows. Analyzes datasets, selects model types (classification, regression), configures parameters, trains with cross-validation, and saves model artifacts. Use when asked to "train model" or "evalua...
automl-pipeline-setup
Эксперт AutoML. Используй для automated machine learning, hyperparameter tuning и model selection.
ai-training-data-generation
Generate high-quality training datasets from documents, text corpora, and structured content. Use when creating AI training data from dictionaries, documents, or when generating examples for machine learning models. Optimized for low-resource languages and domain-specific knowledge extraction.
python-backend
Python backend developer for FastAPI, Django, Flask APIs with SQLAlchemy, Django ORM, Pydantic validation. Implements REST APIs, async operations, database integration, authentication, data processing with pandas/numpy, machine learning integration, background tasks with Celery, API documentation with OpenAPI/Swagger. Activates for Python, Python backend, FastAPI, Django, Flask, SQLAlchemy, Django ORM, Pydantic, async Python, asyncio, uvicorn, REST API Python, authentication Python, pandas, numpy, data processing, machine learning, ML API, Celery, Redis Python, PostgreSQL Python, MongoDB Python, type hints, Python typing.
ml-reviewer
WHEN: Machine Learning/Deep Learning code review, PyTorch/TensorFlow patterns, Model training optimization, MLOps checksWHAT: Model architecture review + Training patterns + Data pipeline checks + GPU optimization + Experiment trackingWHEN NOT: Data analysis only → python-data-reviewer, General Python → python-reviewer
Frequently Asked Questions
What is a Claude Skill?
It is a modular, protocol-based instruction set that enables Claude to perform specific tasks autonomously and efficiently.
How is this different from regular prompts?
Skills use the official Anthropic protocol for better token efficiency and automatic triggering compared to static prompts.
Does it support the new Claude Code CLI?
Yes, we provide specialized one-click installation commands designed specifically for Claude Code and OpenCode.
Can I use these skills in Cursor?
Absolutely, our library is fully compatible with popular IDEs and extensions including Cursor, Codex, and AntiGravity.
Are the skills on the website free to use?
Most skills in our 90,000+ database are free and open-source for the community to download and deploy.
How can I contribute my own skills?
Developers can easily share their work by submitting their own skill repositories through our community portal.