Micro-frontend boundary governance skills for AI coding agents
mfe-skills is easy to set up with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
npx skills add lucamezzalira/mfe-skillsRun the command in your terminal.
Confirm that the skill files were added to your agent workspace.
Check the README requirements before invoking the skill in your agent.
This repository provides two skills that teach AI coding agents about micro-frontend architecture boundaries, including violation detection and remediation patterns.
MFE Skills are designed to give AI code assistants deep knowledge of micro-frontend boundary design, the eight boundary rules from Building Micro-Frontends (O'Reilly), violation detection, and remediation patterns. It covers Module Federation v1/v2, Native Federation (Angular), and Single SPA. The two skills included are: understanding-mfe-architecture (for adoption decisions, boundary design, and composition patterns) and reviewing-mfe-boundaries (for code review, shell generation, violation detection, and cross-MFE communication). These skills prevent AI assistants from producing tutorial-style micro-frontends that erode team autonomy.
Strong trust signals; still review the README and permissions before production use.
Last commit was about 17 days ago.
40 GitHub stars indicate community interest.
0 open issues signal maintenance load.
MIT license detected.
Guiding AI agents to design proper micro-frontend boundaries during initial architecture setup
Reviewing existing micro-frontend code for boundary violations and suggesting fixes
Enabling AI agents to generate shell applications that follow governance rules
Helping teams adopt micro-frontends with best practices from established patterns
No direct security vulnerabilities reported; focuses on architectural governance rather than security
Users should review generated code for security best practices in their specific context
Analyze the following micro-frontend code for boundary violations: [paste code]
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License
Extract any website's complete design system with one command.
Argos is an open source visual testing platform that detects unintended UI changes to help teams maintain quality.
Generate design system documentation for UI components directly from your AI agent, rendering into Figma or portable .md files.
Micro-frontend boundary governance skills for AI coding agents
Frontend architects designing micro-frontend systems, Developers working with Module Federation or Single SPA, Teams adopting micro-frontend architecture
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
No direct security vulnerabilities reported; focuses on architectural governance rather than security Users should review generated code for security best practices in their specific context
Similar or complementary options to evaluate include design-extract, Argos, uSpec.
Jul 11, 2026
2 security/trust notes recorded.
Setup difficulty is 2/5.