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react-18-architecture-governance skill

/frontend/.github-skills/react-18-architecture-governance

This skill helps enforce scalable governance for large React 18 apps, preserving architecture, enabling automated checks, and guiding evolution without

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SKILL.md
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---
name: react-18-architecture-governance
description: Establish governance models for large React 18 codebases to preserve architectural integrity.
---

# React 18 Architecture Governance

## Summary

Establish governance models for large React 18 codebases to preserve architectural integrity.

## Key Capabilities

- Define enforceable architectural rules and ownership boundaries.
- Implement automated dependency checks and policy gates.
- Design evolution pathways without breaking API stability.

## PhD-Level Challenges

- Formalize a constraint system for architecture drift detection.
- Quantify entropy reduction from governance practices.
- Model the impact of governance on delivery velocity.

## Acceptance Criteria

- Provide governance rules and enforcement tooling.
- Demonstrate detection and remediation of violations.
- Include metrics on drift reduction.

Overview

This skill establishes governance models for large React 18 codebases to preserve architectural integrity and long-term maintainability. It defines enforceable rules, ownership boundaries, and measurable policies tailored to complex frontend platforms. The approach balances stability with safe evolution so teams can move quickly without accumulating unmanageable drift.

How this skill works

The skill codifies architecture constraints into machine-checkable policies and implements automated checks in CI to catch violations early. It maps ownership to code areas, injects policy gates for dependency and API changes, and provides remediation workflows for detected issues. Metrics track drift, rule coverage, and the impact of governance on delivery velocity.

When to use it

  • Managing a large React 18 codebase with multiple teams and frequent releases
  • When architectural drift or inconsistent patterns are causing bugs or rework
  • Before adopting major platform changes that require coordinated refactors
  • When you need measurable governance to satisfy compliance or legal requirements
  • If you want to preserve public APIs and avoid breaking changes across versions

Best practices

  • Define a small set of high-value rules and enforce them early in CI
  • Assign clear ownership for modules, components, and public APIs
  • Automate dependency and import checks to stop unapproved coupling
  • Provide documented evolution paths and deprecation policies for APIs
  • Measure drift with entropy-like metrics and review trendlines in retrospectives

Example use cases

  • Preventing cross-team coupling by enforcing module boundary rules on imports
  • Automated detection of unstable internal API usage and suggested refactors
  • Blocking CI on introductions of forbidden transitive dependencies
  • Running drift reports that quantify rule violations before major releases
  • Designing an evolution plan that sequences non-breaking adapter layers

FAQ

Can governance slow down teams?

Governance can add friction if misapplied. Use minimal enforceable rules, automate checks, and provide clear evolution paths to keep delivery velocity high.

How do you measure architectural drift?

Combine rule-violation counts, dependency graph entropy, and trend metrics over time. Track remediation rates and correlate with delivery metrics to validate impact.