Does this skill work with existing JavaScript test frameworks?

Yes, it is designed to work seamlessly with frameworks like Jest and Vitest, and it can automatically trigger npm test suites after verification.

What is the London School approach to TDD?

The London School (or 'mockist') approach focuses on 'Outside-In' development, where tests are written for the behavior and interactions between objects using mocks, rather than focusing on the internal state of a single unit.

How does this skill benefit a multi-agent swarm?

It acts as a coordinator, sharing mock definitions and contract expectations with other agents to ensure that different parts of a system, potentially written by different agents, interact correctly.

How do I invoke this specific agent skill?

You can activate this capability by using the command '$agent-tdd-london-swarm' within your Claude Code environment.

What is behavior verification in this context?

Behavior verification ensures that an object calls its collaborators correctly—checking that the right methods are called with the right arguments in the right order.

London School TDD Swarm Agent

Name: London School TDD Swarm Agent
Author: nbossn

bynbossn

0•

Security & Testing

Implements London School TDD methodologies using a mock-first approach to coordinate behavior-driven testing within multi-agent swarms.

The London School TDD Swarm Agent is a specialized capability for Claude Code designed to drive software development through outside-in testing and mock-driven design. Unlike traditional state-based testing, this agent focuses on the interactions and collaborations between objects, using mocks to define stable interfaces and contracts before implementation begins. It excels in swarm environments by coordinating with other testing agents to share mock definitions, verify cross-agent contracts, and synchronize test execution, ensuring that complex service architectures are behaviorally sound and well-integrated.

Key Features

01Outside-in TDD workflow from user behavior to implementation

020 GitHub stars

03Mock-driven development for isolated unit testing and contract definition

04Behavior verification focusing on object interactions and collaborations

05Swarm test coordination for multi-agent testing synchronization

06Automated contract monitoring and interaction reporting

Use Cases

01Refactoring legacy code by establishing interaction-based test coverage

02Defining interface contracts between different AI agents in a development swarm

03Architecting complex microservices where service interactions are critical

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nbossn/claude-code-base agent-tdd-london-swarm

For use in Claude.ai and ChatGPT

Key Features

01Outside-in TDD workflow from user behavior to implementation

020 GitHub stars

03Mock-driven development for isolated unit testing and contract definition

04Behavior verification focusing on object interactions and collaborations

05Swarm test coordination for multi-agent testing synchronization

06Automated contract monitoring and interaction reporting

Use Cases

01Refactoring legacy code by establishing interaction-based test coverage

02Defining interface contracts between different AI agents in a development swarm

03Architecting complex microservices where service interactions are critical

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add nbossn/claude-code-base agent-tdd-london-swarm

For use in Claude.ai and ChatGPT