Code Coverage Analysis
Multi-language code coverage analysis, reporting, and quality gate enforcement
Best use case
Code Coverage Analysis is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Multi-language code coverage analysis, reporting, and quality gate enforcement
Teams using Code Coverage Analysis should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/code-coverage/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Code Coverage Analysis Compares
| Feature / Agent | Code Coverage Analysis | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Multi-language code coverage analysis, reporting, and quality gate enforcement
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Code Coverage Analysis Skill
## Overview
This skill provides expert-level capabilities for code coverage analysis across multiple languages, enabling coverage collection, report generation, and quality gate enforcement.
## Capabilities
### JavaScript/TypeScript Coverage
- Configure Istanbul/nyc for JavaScript coverage
- V8 coverage collection
- Source map support for TypeScript
### Python Coverage
- Configure coverage.py for Python coverage
- Branch coverage analysis
- Context-based coverage
### Java Coverage
- JaCoCo configuration for Java coverage
- Maven/Gradle integration
- Multi-module project support
### Coverage Merging
- Merge coverage reports from multiple sources
- Combine unit and integration coverage
- Cross-test-type aggregation
### Reporting
- Generate coverage badges
- Track coverage trends
- Generate HTML and XML reports
### Quality Gates
- Configure coverage thresholds
- Enforce minimum coverage requirements
- Block merges on coverage drops
### Analysis
- Analyze uncovered code paths
- Identify dead code
- Priority coverage recommendations
### Integration
- SonarQube integration
- Codecov/Coveralls integration
- CI/CD pipeline integration
## Target Processes
- `automation-framework.js` - Framework coverage setup
- `mutation-testing.js` - Coverage for mutation testing
- `quality-gates.js` - Coverage-based gates
- `continuous-testing.js` - CI/CD coverage
## Dependencies
- `nyc` / `c8` - JavaScript coverage
- `coverage.py` - Python coverage
- `JaCoCo` - Java coverage
## Usage Example
```javascript
{
kind: 'skill',
skill: {
name: 'code-coverage',
context: {
action: 'analyze',
language: 'javascript',
reportFormats: ['html', 'lcov', 'json'],
thresholds: {
lines: 80,
branches: 75,
functions: 80
}
}
}
}
```
## Configuration
The skill auto-detects project language and configures appropriate coverage tools.Related Skills
heatmap-analysis
Analyze user interaction heatmaps for attention patterns and click behavior
static-analysis-runner
Run static analysis tools including SonarQube, ESLint, and multi-language linters
Static Analysis Tools Skill
Integration with security-focused static analysis tools
Smart Contract Analysis Skill
Ethereum and blockchain smart contract security analysis
Network Protocol Analysis Skill
Network protocol capture, analysis, and fuzzing capabilities
memlab-analysis
Expert skill for JavaScript memory leak detection using Facebook MemLab. Configure MemLab scenarios, execute memory leak detection runs, analyze heap snapshots, identify detached DOM elements, find event listener leaks, and integrate with CI pipelines.
gpu-memory-analysis
Specialized skill for GPU memory hierarchy analysis and optimization. Analyze memory access patterns, detect bank conflicts, optimize cache utilization, profile global memory bandwidth, and generate optimized memory access code patterns.
power-analysis
FPGA power estimation and optimization skill for low-power design
cdc-analysis
Specialized skill for clock domain crossing analysis and synchronizer design in FPGA designs
misra-c-analysis
MISRA C compliance checking and static analysis integration
memory-analysis
Embedded memory analysis, optimization, and leak detection
qualitative-analysis
Conduct systematic qualitative data analysis using grounded theory, thematic analysis, and content analysis with NVivo or Atlas.ti