How does this skill guarantee code quality?

It enforces TDD, requires ≥80% test coverage, and uses multi-layer validation gates to target a quality score of 85/100 or higher.

What is the 'Doom Loop Breaker' mentioned in the workflow?

It is a safety mechanism that halts the AI after three failed implementation attempts on a single task, preventing infinite refactoring loops and requiring human intervention.

What is the Explore-Plan-Code-Commit workflow?

It is a 6-step sequential process that ensures developers gather comprehensive context and plan architecture before implementation to reduce errors and technical debt.

When should I avoid using this implementation skill?

This skill is designed for complex tasks; it is not recommended for simple documentation changes, configuration tweaks, or code updates under 50 lines.

Does it support my specific programming language?

Yes, it is language-agnostic as long as your environment has a compatible testing framework (such as Jest, Vitest, or pytest) and basic Git functionality.

Multi-AI Implementation Workflow

Name: Multi-AI Implementation Workflow
Author: adaptationio

byadaptationio

0•

開発者ツール

Orchestrates a rigorous Explore-Plan-Code-Commit workflow for production-grade, test-driven code generation.

Multi-AI Implementation provides a systematic framework for building complex features and migrating systems with high reliability. It follows a research-validated multi-step process that emphasizes comprehensive context discovery and architectural planning before a single line of code is written. By enforcing incremental, test-first development with small change sets and automatic rollbacks on test failures, it ensures codebases remain stable while consistently achieving high test coverage and maintaining superior code quality scores.

主な機能

01Six-step sequential Explore-Plan-Code-Commit workflow

02Strict Test-Driven Development (TDD) integration

03Automatic safety rollbacks for failed test execution

04Progressive context discovery through multi-level file analysis

050 GitHub stars

06Incremental changes limited to <200 lines per commit

ユースケース

01Implementing complex features requiring multi-component coordination and high test coverage

02Refactoring legacy codebases using the Expand-Migrate-Contract pattern for backward compatibility

03Migrating system architectures or frameworks with rigorous multi-layer quality gates

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add adaptationio/skrillz multi-ai-implementation

For use in Claude.ai and ChatGPT

主な機能

01Six-step sequential Explore-Plan-Code-Commit workflow

02Strict Test-Driven Development (TDD) integration

03Automatic safety rollbacks for failed test execution

04Progressive context discovery through multi-level file analysis

050 GitHub stars

06Incremental changes limited to <200 lines per commit

ユースケース

01Implementing complex features requiring multi-component coordination and high test coverage

02Refactoring legacy codebases using the Expand-Migrate-Contract pattern for backward compatibility

03Migrating system architectures or frameworks with rigorous multi-layer quality gates

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add adaptationio/skrillz multi-ai-implementation

For use in Claude.ai and ChatGPT