How does it handle performance and security testing?

The skill analyzes the project's Non-Functional Requirements (NFR) and complexity to determine if specialized instructions for performance, contract, or security testing are necessary.

Where does the skill save its output?

All generated documentation, including build and test instructions, is stored in the aidlc-docs/construction/build-and-test/ directory.

What build tools are supported by this skill?

The skill has access to common build environments including npm, npx, bun, cargo, go, python, pip, maven, and gradle.

Does this skill run for every individual code unit?

No, this skill is designed to run once for the entire project only after all units have completed their individual code generation phases.

What is the primary purpose of the Build and Test skill?

It generates standardized build instructions and a complete testing strategy (unit, integration, performance, etc.) for a project after all code generation units are finished.

AI-DLC Build and Test Strategy

Name: AI-DLC Build and Test Strategy
Author: yamatatsu

byyamatatsu

0•

Seguridad y Pruebas

Generates comprehensive build instructions and multi-layered testing strategies for AI-developed software projects.

This skill facilitates the construction phase of the AI Development Life Cycle (AI-DLC) by automating the creation of build and test documentation. Once code generation is complete for all units, this skill analyzes project requirements to produce detailed instructions for building the application and executing various test levels, including unit, integration, performance, and E2E tests. It ensures that the generated codebase is ready for deployment by providing a standardized roadmap for verification and architectural validation.

Características Principales

01Automated generation of detailed build instructions and prerequisites

020 GitHub stars

03Support for major package managers including npm, cargo, go, pip, and maven

04Comprehensive multi-tier test strategy (Unit, Integration, Performance, E2E)

05Project-wide state verification to ensure code generation completeness

06Standardized audit logging and test summary reporting

Casos de Uso

01Architecting a comprehensive verification plan for complex system integrations

02Finalizing the construction phase of a multi-module project within the AI-DLC framework

03Generating standardized documentation for CI/CD pipelines and local build environments

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add yamatatsu/claude-aidlc construction-build-and-test

For use in Claude.ai and ChatGPT

Download Skill