How many fitness functions should I implement?

The skill recommends focusing on 5-10 core metrics. Implementing too many functions can lead to long build times and noise that causes developers to ignore the results.

How does this skill help with CI/CD integration?

It provides specific guidance on parsing test coverage, dependency scanners, and performance benchmarks to automatically block pull requests that breach architectural standards.

Which architectural attributes can this skill measure?

It covers five main domains: Coupling (layer violations), Modularity (cohesion), Scalability (throughput/latency), Security (vulnerabilities), and Code Quality (complexity).

What are architectural fitness functions?

They are automated metrics used to verify that an architecture's characteristics, such as scalability, security, or modularity, stay within defined limits as the system evolves over time.

Architectural Fitness Function Design

Name: Architectural Fitness Function Design
Author: sethdford

bysethdford

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Deployment & DevOps

Designs and automates quantifiable metrics to monitor architectural health, maintain system modularity, and enforce quality standards within CI/CD pipelines.

This skill enables developers and architects to implement Evolutionary Architecture principles by creating automated 'fitness functions' that protect against architectural degradation. It provides a structured framework for measuring key quality attributes—such as coupling, cohesion, scalability, and security—and integrating these metrics directly into the development workflow as automated quality gates. By establishing clear thresholds and actionable feedback loops, the skill helps teams maintain high-integrity codebases and prevent technical debt from accumulating silently during rapid development cycles.

Key Features

01LLM error mitigation for common fitness function anti-patterns

025 GitHub stars

03Real-time monitoring of architectural degradation and technical debt

04Metric identification for coupling, modularity, and scalability

05Threshold setting based on organizational performance priorities

06Automated quality gate integration for CI/CD pipelines

Use Cases

01Enforcing performance benchmarks and latency thresholds on every PR

02Preventing cyclic dependencies and layer violations in microservices

03Measuring and maintaining module cohesion during large-scale refactoring

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sethdford/claude-skills fitness-function-design

For use in Claude.ai and ChatGPT

Key Features

01LLM error mitigation for common fitness function anti-patterns

025 GitHub stars

03Real-time monitoring of architectural degradation and technical debt

04Metric identification for coupling, modularity, and scalability

05Threshold setting based on organizational performance priorities

06Automated quality gate integration for CI/CD pipelines

Use Cases

01Enforcing performance benchmarks and latency thresholds on every PR

02Preventing cyclic dependencies and layer violations in microservices

03Measuring and maintaining module cohesion during large-scale refactoring

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sethdford/claude-skills fitness-function-design

For use in Claude.ai and ChatGPT