generating-docker-compose-files

This skill enables Claude to automatically generate comprehensive unit tests from source code. It is triggered when the user requests unit tests, test cases, or test suites for specific files or code snippets. The skill supports multiple testing frameworks including Jest, pytest, JUnit, and others, intelligently detecting the appropriate framework or using one specified by the user. Use this skill when the user asks to "generate tests", "create unit tests", or uses the shortcut "gut" followed by a file path.

Time Series Decomposer - Auto-activating skill for Data Analytics. Triggers on: time series decomposer, time series decomposer Part of the Data Analytics skill category.

This skill generates comprehensive test reports with coverage metrics, trends, and stakeholder-friendly formats (HTML, PDF, JSON). It aggregates test results from various frameworks, calculates key metrics (coverage, pass rate, duration), and performs trend analysis. Use this skill when the user requests a test report, coverage analysis, failure analysis, or historical comparisons of test runs. Trigger terms include "test report", "coverage report", "testing trends", "failure analysis", and "historical test data".

This skill uses the test-doubles-generator plugin to automatically create mocks, stubs, spies, and fakes for unit testing. It analyzes dependencies in the code and generates appropriate test doubles based on the chosen testing framework, such as Jest, Sinon, or others. Use this skill when you need to generate test doubles, mocks, stubs, spies, or fakes to isolate units of code during testing. Trigger this skill by requesting test double generation or using the `/gen-doubles` or `/gd` command.

This skill enables Claude to generate realistic test data for software development. It uses the test-data-generator plugin to create users, products, orders, and custom schemas for comprehensive testing. Use this skill when you need to populate databases, simulate user behavior, or create fixtures for automated tests. Trigger phrases include "generate test data", "create fake users", "populate database", "generate product data", "create test orders", or "generate data based on schema". This skill is especially useful for populating testing environments or creating sample data for demonstrations.

This skill uses the stored-procedure-generator plugin to create production-ready stored procedures, functions, triggers, and custom database logic. It supports PostgreSQL, MySQL, and SQL Server. Use this skill when the user asks to "generate stored procedure", "create database function", "write a trigger", or needs help with "database logic", "optimizing database performance", or "ensuring transaction safety" in their database. The skill is activated by requests related to database stored procedures, functions, or triggers.

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 generate Infrastructure as Code (IaC) configurations. It uses the infrastructure-as-code-generator plugin to create production-ready IaC for Terraform, CloudFormation, Pulumi, ARM Templates, and CDK. Use this skill when the user requests IaC configurations for cloud infrastructure, specifying the platform (e.g., Terraform, CloudFormation) and cloud provider (e.g., AWS, Azure, GCP), or when the user needs help automating infrastructure deployment. Trigger terms include: "generate IaC", "create Terraform", "CloudFormation template", "Pulumi program", "infrastructure code".

This skill generates conventional commit messages using AI analysis of staged Git changes. It automatically determines the commit type (feat, fix, docs, etc.), identifies breaking changes, and formats the message according to conventional commit standards. Use this when asked to create a commit message, write a Git commit, or when the user uses the `/commit-smart` or `/gc` command. It is especially useful after changes have been staged with `git add`.

Generate trading signals using technical indicators (RSI, MACD, Bollinger Bands, etc.). Combines multiple indicators into composite signals with confidence scores. Use when analyzing assets for trading opportunities or checking technical indicators. Trigger with phrases like "get trading signals", "check indicators", "analyze for entry", "scan for opportunities", "generate buy/sell signals", or "technical analysis".

Generate complete REST API implementations from OpenAPI specifications or database schemas. Use when generating RESTful API implementations. Trigger with phrases like "generate REST API", "create RESTful API", or "build REST endpoints".

Execute use when generating Helm charts for Kubernetes applications. Trigger with phrases like "create Helm chart", "generate chart for app", "package Kubernetes deployment", or "helm template". Produces production-ready charts with Chart.yaml, values.yaml, templates, and best practices for multi-environment deployments.