This skill enables Claude to generate ORM models and database schemas. It is triggered when the user requests the creation of ORM models, database schemas, or wishes to generate code for interacting with databases. The skill supports various ORMs including TypeORM, Prisma, Sequelize, SQLAlchemy, Django ORM, Entity Framework, and Hibernate. Use this skill when the user mentions terms like "ORM model", "database schema", "generate entities", "create migrations", or specifies a particular ORM framework like "TypeORM entities" or "SQLAlchemy models". It facilitates both database-to-code and code-to-database schema generation.

This skill enables Claude to design NoSQL data models. It activates when the user requests assistance with NoSQL database design, including schema creation, data modeling for MongoDB or DynamoDB, or defining document structures. Use this skill when the user mentions "NoSQL data model", "design MongoDB schema", "create DynamoDB table", or similar phrases related to NoSQL database architecture. It assists in understanding NoSQL modeling principles like embedding vs. referencing, access pattern optimization, and sharding key selection.

This skill enables Claude to perform comprehensive database security scans using the database-security-scanner plugin. It is triggered when the user requests a security assessment of a database, including identifying vulnerabilities like weak passwords, SQL injection risks, and insecure configurations. The skill leverages OWASP guidelines to ensure thorough coverage and provides remediation suggestions. Use this skill when the user asks to "scan database security", "check database for vulnerabilities", "perform OWASP compliance check on database", or "assess database security posture". The plugin supports PostgreSQL and MySQL.

This skill uses the database-index-advisor plugin to analyze query patterns and recommend optimal database indexes. It identifies missing indexes to improve query performance and unused indexes that can be removed to save storage and improve write performance. Use this skill when the user asks to "analyze database indexes", "optimize slow queries", "find missing indexes", "remove unused indexes", or requests help with "database index optimization". The plugin analyzes database workloads, detects potential indexing issues, and provides actionable recommendations for indexing strategies.

This skill leverages the database-diff-tool plugin to compare database schemas, generate migration scripts, and provide rollback procedures. It is triggered when the user requests database schema comparisons, migration script generation, or database synchronization. Use this skill when asked to identify differences between database schemas (PostgreSQL or MySQL), create safe migration scripts with transaction safety, validate changes before deployment, or generate rollback procedures. The skill is activated by requests involving terms like "database diff", "schema comparison", "generate migration script", "database synchronization", or `/db-diff`.

This skill uses the database-deadlock-detector plugin to detect, analyze, and prevent database deadlocks. It monitors database lock contention, analyzes transaction patterns, and suggests resolution strategies. Use this skill when the user asks to "detect database deadlocks", "analyze deadlock causes", "monitor database locks", or any requests related to database deadlock prevention and resolution. This skill is particularly useful for production database systems experiencing recurring deadlock issues. The plugin's command `/deadlock` is triggered by these requests.

This skill enables Claude to implement multi-tier database caching solutions. It is triggered when the user requests database caching, performance improvements, or reduced database load. The skill utilizes Redis, in-memory caching, and CDN layers to optimize database performance by reducing database load, improving query latency, and supporting horizontal scaling with cache-aside, write-through, and read-through patterns. Use this skill when the user mentions terms like "database caching", "improve database performance", "reduce database load", or uses the `/caching` command.

This skill allows Claude to evaluate machine learning models using a comprehensive suite of metrics. It should be used when the user requests model performance analysis, validation, or testing. Claude can use this skill to assess model accuracy, precision, recall, F1-score, and other relevant metrics. Trigger this skill when the user mentions "evaluate model", "model performance", "testing metrics", "validation results", or requests a comprehensive "model evaluation".

This skill enables Claude to optimize machine learning model hyperparameters using grid search, random search, or Bayesian optimization. It is used when the user requests hyperparameter tuning, model optimization, or improvement of model performance. The skill analyzes the current context, generates code for the specified search strategy, handles data validation and errors, and provides performance metrics. Trigger terms include "tune hyperparameters," "optimize model," "grid search," "random search," and "Bayesian optimization."

This skill automates the setup of machine learning experiment tracking using tools like MLflow or Weights & Biases (W&B). It is triggered when the user requests to "track experiments", "setup experiment tracking", "initialize MLflow", or "integrate W&B". The skill configures the necessary environment, initializes the tracking server (if needed), and provides code snippets for logging experiment parameters, metrics, and artifacts. It helps ensure reproducibility and simplifies the comparison of different model runs.

This skill enables Claude to execute clustering algorithms on datasets. It is used when the user requests to perform clustering, identify groups within data, or analyze data structure. The skill supports algorithms like K-means, DBSCAN, and hierarchical clustering. Claude should use this skill when the user explicitly asks to "run clustering," "perform a cluster analysis," or "group data points" and provides a dataset or a way to access one. The skill also handles data validation, error handling, performance metrics, and artifact saving.

This skill enables Claude to construct and evaluate classification models using provided datasets or specifications. It leverages the classification-model-builder plugin to automate model creation, optimization, and reporting. Use this skill when the user requests to "build a classifier", "create a classification model", "train a classification model", or needs help with supervised learning tasks involving labeled data. The skill ensures best practices are followed, including data validation, error handling, and performance metric reporting.