How does it manage AI context and token limits?

The skill enforces strict token budgets for each phase—typically under 600 tokens per response—to ensure the AI remains focused, prevents context drift, and provides higher quality code snippets.

Can I use TDD Orchestrator for integration and acceptance testing?

Yes, it is designed to handle the full test pyramid, including unit tests, integration tests, and Acceptance Test-Driven Development (ATDD) or executable specifications.

Does this skill support different TDD methodologies?

Yes, it supports both the Chicago style, which focuses on state-based testing with real collaborators, and the London style, which emphasizes interaction-based testing and mocks.

What is the Red-Green-Refactor cycle managed by this skill?

It is a TDD process where the skill first helps you write a failing test (Red), then guides you to write the minimum code to pass it (Green), and finally assists in optimizing the code while keeping tests passing (Refactor).

TDD Orchestrator

Name: TDD Orchestrator
Author: anton-abyzov

byanton-abyzov

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Seguridad y Pruebas

Enforces strict test-driven development cycles through an automated Red-Green-Refactor workflow for production-grade software.

TDD Orchestrator is a specialized skill designed to automate and enforce the discipline of Test-Driven Development (TDD) within AI coding environments. It guides the development process through three distinct, controlled phases: writing failing tests (Red), implementing the minimal code required to pass (Green), and optimizing the codebase (Refactor). By managing token budgets and coordinating multi-agent workflows, it ensures developers adhere to industry best practices such as the test pyramid, executable specifications, and both London and Chicago TDD styles, resulting in robust, self-documenting, and highly maintainable software.

Características Principales

01Enforcement of minimal implementation principles to reduce technical debt

02Strict token budget enforcement for concise and accurate AI responses

03Multi-agent workflow coordination for complex engineering tasks

04Support for both Chicago (Classic) and London (Mockist) TDD styles

05Automated Red-Green-Refactor cycle management

0623 GitHub stars

Casos de Uso

01Refactoring legacy codebases safely by establishing a comprehensive test suite first

02Implementing new features using an outside-in TDD approach to ensure architectural integrity

03Building production-ready applications with high test coverage and reliability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add anton-abyzov/specweave tdd-orchestrator

For use in Claude.ai and ChatGPT

Download Skill