This skill analyzes code coverage metrics to identify untested code and generate comprehensive coverage reports. It is triggered when the user requests analysis of code coverage, identification of coverage gaps, or generation of coverage reports. The skill is best used to improve code quality by ensuring adequate test coverage and identifying areas for improvement. Use trigger terms like "analyze coverage", "code coverage report", "untested code", or the shortcut "cov".
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: Analyzing Test Coverage description: | This skill analyzes code coverage metrics to identify untested code and generate comprehensive coverage reports. It is triggered when the user requests analysis of code coverage, identification of coverage gaps, or generation of coverage reports. The skill is best used to improve code quality by ensuring adequate test coverage and identifying areas for improvement. Use trigger terms like "analyze coverage", "code coverage report", "untested code", or the shortcut "cov".
Overview
This skill enables Claude to analyze code coverage metrics, pinpoint areas of untested code, and generate detailed reports. It helps you identify gaps in your test suite and ensure comprehensive code coverage.
How It Works
- Coverage Data Collection: Claude executes the project's test suite with coverage tracking enabled (e.g., using
nyc,coverage.py, or JaCoCo). - Report Generation: The plugin parses the coverage data and generates a detailed report, including metrics for line, branch, function, and statement coverage.
- Uncovered Code Identification: Claude highlights specific lines or blocks of code that are not covered by any tests.
When to Use This Skill
This skill activates when you need to:
- Analyze the overall code coverage of your project.
- Identify specific areas of code that lack test coverage.
- Generate a detailed report of code coverage metrics.
- Enforce minimum code coverage thresholds.
Examples
Example 1: Analyzing Project Coverage
User request: "Analyze code coverage for the entire project"
The skill will:
- Execute the project's test suite with coverage tracking.
- Generate a comprehensive coverage report, showing line, branch, and function coverage.
Example 2: Identifying Untested Code
User request: "Show me the untested code in the src/utils.js file"
The skill will:
- Analyze the coverage data for
src/utils.js. - Highlight the lines of code in
src/utils.jsthat are not covered by any tests.
Best Practices
- Configuration: Ensure your project has a properly configured coverage tool (e.g.,
nycin package.json). - Thresholds: Define minimum coverage thresholds to enforce code quality standards.
- Report Review: Regularly review coverage reports to identify and address coverage gaps.
Integration
This skill can be integrated with other testing and CI/CD tools to automate coverage analysis and reporting. For example, it can be used in conjunction with a linting plugin to identify both code style issues and coverage gaps.
More by jeremylongshore
View allRabbitmq Queue Setup - Auto-activating skill for Backend Development. Triggers on: rabbitmq queue setup, rabbitmq queue setup Part of the Backend Development skill category.
evaluating-machine-learning-models: 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".
building-neural-networks: This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").
Oauth Callback Handler - Auto-activating skill for API Integration. Triggers on: oauth callback handler, oauth callback handler Part of the API Integration skill category.
