Claude Skills

This skill enables Claude to automate hyperparameter tuning for machine learning models using grid search, random search, or Bayesian optimization. It generates the necessary code for the chosen search strategy, handles validation, and provides performance metrics. Use it when a developer requests model optimization or mentions specific tuning methods.

This skill enables Claude to automate feature engineering for ML models, including creating, selecting, and transforming features to improve performance. It activates when users request tasks like feature selection or transformation using related trigger terms. Developers can use it to leverage tools like Bash and Grep for direct data manipulation within the feature engineering process.

This skill automates the setup of ML experiment tracking with MLflow or Weights & Biases. It configures the environment, initializes tracking servers, and provides code snippets for logging parameters and metrics. Use it when you need to quickly implement reproducible tracking to compare model runs.

This skill automatically optimizes deep learning models to improve accuracy, reduce training time, or minimize resource consumption. It analyzes model architecture and data, then applies techniques like optimization algorithms and learning rate scheduling. Use it when developers request model performance improvements, and it will generate optimized code.

This skill enables Claude to automatically split datasets into training, validation, and test sets for machine learning. It generates the necessary Python code for data partitioning when triggered by terms like "train-test split" or "data partitioning." Use it during data preparation to facilitate proper model development and evaluation workflows.

This skill enables Claude to generate data visualizations like plots and charts from provided data, automatically selecting the appropriate chart type. It's triggered by keywords like "visualization" or "chart" and is used to present data visually or explore patterns. The skill analyzes data structure and creates informative graphics using tools like Read, Write, and Bash.

This skill enables Claude to automate data preprocessing and cleaning pipelines for machine learning preparation. It handles data validation, transformation, and error handling when triggered by terms like "clean data" or "ETL pipeline." Use it to streamline data quality tasks before analysis or model training.

This skill enables Claude to analyze images using computer vision for tasks like object detection, classification, and segmentation. Use it when a user provides an image and requests insights, identification, or processing. It triggers on terms like "analyze image" or "object detection" and leverages specific tools to automate these workflows.

This skill enables Claude to execute clustering algorithms like K-means, DBSCAN, and hierarchical clustering on user-provided datasets. It's triggered by explicit requests for cluster analysis, grouping data points, or identifying data structure. The skill handles the full workflow including data validation, running the algorithms, calculating performance metrics, and saving the results.

This skill enables Claude to build and evaluate classification models from datasets using the classification-model-builder plugin. It automates model creation, optimization, and performance reporting for supervised learning tasks. Use it when developers need to train classifiers or handle labeled data with built-in data validation and best practices.

This skill enables Claude to automatically build AutoML pipelines using the automl-pipeline-builder plugin when users request automated machine learning workflows. It generates complete ML code with data validation, error handling, performance metrics, and documented artifacts. Use it for requests like "build automl pipeline" or "automate machine learning model building."

This skill enables Claude to detect anomalies and outliers in datasets by leveraging a dedicated plugin and machine learning algorithms. Developers should use it when users request outlier analysis, anomaly detection, or identification of unusual data patterns. It automates the process of highlighting irregular data points for insights into errors or significant deviations.

This skill enables Claude to build multi-agent systems using the AI SDK v5, handling agent handoffs, intelligent routing, and coordinated workflows across providers like OpenAI and Anthropic. Use it when developers need to create complex, specialized agent collaborations or task routing. It's triggered by terms like "agent orchestration" or "multi-agent system."

This skill enables Claude to validate AI/ML models and datasets for ethical concerns and biases using the ai-ethics-validator plugin. It triggers on requests for ethics reviews, fairness assessments, or bias detection, providing reports and mitigation recommendations. Developers should use it to ensure responsible AI development when terms like "bias detection" or "responsible AI" are mentioned.

This skill scans code for reflected, stored, and DOM-based XSS vulnerabilities across HTML, JavaScript, CSS, and URL contexts. It suggests safe proof-of-concept payloads and is triggered by commands like "/xss" or requests to check for XSS. Use it during code reviews, security audits, and before deploying web applications.

This skill enables Claude to automatically scan code for reflected, stored, and DOM-based XSS vulnerabilities. It analyzes HTML, JavaScript, CSS, and URL contexts to detect exploits and suggests safe proof-of-concept payloads. Use it during code reviews, security audits, and before deploying web applications.

This skill enables Claude to research a topic via web search and automatically generate a well-structured GitHub issue from the findings. It's designed for developers who need to convert research into actionable, trackable tasks for their team. Trigger it by asking Claude to research a topic and create a corresponding ticket.

This skill enables automated security scanning for codebases using the vulnerability-scanner plugin. It identifies vulnerabilities in code, dependencies, and configurations, including CVE detection. Use it when you need to scan a project for security issues via commands like "/scan" or "check for CVEs".

This skill scans codebases for security vulnerabilities using static analysis, dependency checking, and configuration analysis, including CVE detection. Developers should use it when they need to find security issues, scan for vulnerabilities, or check for CVEs in their project. It is triggered by phrases like "scan for vulnerabilities," "/scan," or "check for CVEs."

This skill enables Claude to execute visual regression tests using tools like Percy or Chromatic to capture screenshots and compare them against baselines. It automatically identifies unintended visual UI changes for web applications and components. Use it when you need to verify UI changes or perform regression testing via trigger phrases like "visual test" or "check visual changes."

This skill enables Claude to execute visual regression tests using tools like Percy or Chromatic to capture screenshots and compare them against baselines. It identifies unintended UI changes, making it ideal for verifying visual consistency after updates. Developers should trigger it for UI regression testing or when checking for visual changes in web applications.

This skill automatically generates comprehensive unit tests from source code when developers request tests or use the "gut" shortcut. It supports multiple frameworks like Jest and pytest, intelligently detecting the appropriate one or using a specified framework. Use it to quickly create test suites covering key functionalities, edge cases, and error conditions.

This skill automatically generates comprehensive unit tests from source code when you request tests or use the "gut" shortcut. It supports multiple frameworks like Jest and pytest, intelligently detecting the appropriate one or using your specified choice. Use it to quickly create test cases covering key functionalities, edge cases, and error conditions.

This skill automates transfer learning by generating code to fine-tune pre-trained models for new datasets or tasks. It handles requirements analysis, data validation, error handling, and provides performance metrics with documentation. Use it to efficiently adapt existing models, saving time and resources compared to training from scratch.