Orchestrate multi-file code changes with TDD and quality gates.
npx skills add https://github.com/knowz-io/knowz-skills --skill knowzcode-work
Please help me install this Agent Skill. Skill: knowzcode-work Source: https://github.com/knowz-io/knowz-skills/tree/main/knowzcode/.gemini/skills/knowzcode-work Command: npx skills add https://github.com/knowz-io/knowz-skills --skill knowzcode-work
This Skill solves the problem of chaotic, unverified AI-generated code by enforcing a structured development loop that includes impact analysis, TDD, and mandatory quality gates.
Initiate the knowzcode-work workflow to build a new user authentication feature with email and password support.
High-intent search queries and answers about installing and using this skill.
You enforce test-driven development for multi-file changes by orchestrating a structured lifecycle with mandatory quality gates. This prevents chaotic, unverified AI-generated code by requiring rigorous impact analysis and audit loops before advancing phases.
Managing architectural modifications without regressions requires a structured workflow that applies impact analysis and audit loops. Mandatory quality gates ensure code is audited and tested before moving to the next development phase.
To structure an AI coding workflow for a new authentication module, initiate a multi-phase development process. This workflow guides you from initial impact analysis through design, testing, and finalization to ensure code quality and project consistency.
This structured development workflow requires no external dependencies, but it mandates adherence to a defined WorkGroup methodology. You must follow the phased implementation steps to properly execute the test-driven development and quality gate checks.
You should use a quality gate approach for AI-generated code when building new features that require multiple files, such as an authentication module. It ensures the code is designed, tested, and audited properly to prevent regression.
Unverified AI-generated code causes project consistency issues because it lacks structured impact analysis and testing. Enforcing a multi-phase development loop with mandatory quality gates audits the code and prevents regression before finalization.
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