How does this skill handle parallel testing?

It defaults to 24 parallel jobs but provides a specific command to serialize execution when clear debug output is required.

What build modes are supported by the Ikigai Quality skill?

It supports debug, release, sanitize (Address/Undefined Behavior), tsan (Thread Sanitizer), and coverage modes.

Does this skill require 100% coverage immediately?

No, it encourages high coverage for new code and the happy path, while suggesting that full coverage gaps be closed in a dedicated phase so as not to slow down feature development.

Can I run multiple make commands simultaneously?

No, the skill explicitly warns against concurrent make commands as different targets use incompatible compiler flags that can corrupt the build.

Ikigai Code Quality

Name: Ikigai Code Quality
Author: mgreenly

bymgreenly

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Security & Testing

Enforces rigorous testing standards, code formatting, and build sanitization to ensure high-coverage and reliable software development.

About

The Ikigai Quality skill streamlines the development lifecycle by automating essential pre-commit requirements, including code formatting, linting, and comprehensive test execution. It provides advanced build configurations for debugging, performance optimization, and memory/thread sanitization, while specifically guiding the AI agent to maintain high test coverage without compromising development velocity. By managing parallel test execution and preventing build corruption from simultaneous commands, it ensures a stable, production-grade codebase for the Ikigai project.

Key Features

Incremental test coverage analysis for new code modules
Automated pre-commit checks for code formatting and linting
Support for specialized build modes including ASan and TSan
1 GitHub stars
Configurable parallel test execution with debug serialization
Build integrity protection against concurrent execution errors

Use Cases

Validating code quality and complexity before committing new features
Generating and analyzing code coverage reports for the development phase
Detecting memory leaks or thread races using specialized sanitizers

About

Key Features

Incremental test coverage analysis for new code modules
Automated pre-commit checks for code formatting and linting
Support for specialized build modes including ASan and TSan
1 GitHub stars
Configurable parallel test execution with debug serialization
Build integrity protection against concurrent execution errors

Use Cases

Validating code quality and complexity before committing new features
Generating and analyzing code coverage reports for the development phase
Detecting memory leaks or thread races using specialized sanitizers