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    Design System Enforcer

    1

    The Design System Enforcer is an expert-level agent skill designed to audit your codebase, identify inconsistencies, and provide a technical roadmap to restore system integrity.

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    Design System Enforcer

    Design System Enforcer

    Example session with this skill installed

    Audit our React component library for button drift and propose a consolidation plan. We use Tailwind and have way too many custom 'px' values in our components.

    • Read your context and instructions
    • Compiled the design system enforcer
    • Generated the UI component

    Audit Results: Button Component

    • Drift Detected: 14 unique 'ghost' variants (variants not in Figma).
    • Hardcoded Values: 42 instances of px-[13.5px] found.
    • Mapping: Replace with px-3 (12px) or px-4 (16px) tokens.
    • Priority: High. Affects 85% of views.
    • Recommendation: Deprecate ButtonLegacy.tsx by EOM.

    ButtonLegacy.tsx

    TSX · React component

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Eliminate Component Drift and Token Debt

    Modern frontend development often leads to "design debt": dozens of button variations, hardcoded hex values, and inconsistent spacing that stray from your Figma files. The Design System Enforcer is an expert-level agent skill designed to audit your codebase, identify inconsistencies, and provide a technical roadmap to restore system integrity.

    What it does

    This skill goes beyond simple linting. It performs a comprehensive analysis of your UI implementation to:

    • Inventory Reality: Lists actual variants in your shipped code versus your design documentation.
    • Map Hardcoded Values: Identifies raw CSS values and maps them to your existing design tokens.
    • Sequence Consolidation: Prioritizes fixes based on traffic and impact, ensuring you fix the "Button" before the "Date Picker."
    • Define Governance: Establishes migration paths and lint-level enforcement rules to prevent future drift.

    Why use this skill?

    Unlike standard prompts, this skill categorizes deviations into intentional variants, accidental drift, or system gaps. It understands the nuances of component architecture and provides actionable deprecation strategies that won't break your production environment. The output is tailored to your stack—whether you use Tailwind, Styled Components, or CSS Modules.

    • Cannot directly access Figma APIs: requires manual export/context.
    • Works best with text-based UI code: not for proprietary binary formats.
    • Audit depth depends on shared codebase context.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

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    Permissions

    Read Files
    Listed4 months ago
    Updated12 days ago

    What's inside

    Frequently Asked Questions

    The skill identifies 'design debt' by cataloging every variation of UI components and raw CSS values in your code, then mapping them back to your official design tokens or Figma specifications to eliminate inconsistencies.

    This skill is framework-agnostic and compatible with most modern frontend stacks, including React, Vue, or Svelte, and specifically supports styling methods like Tailwind CSS, Styled Components, and CSS Modules.

    You will receive the proprietary agent skill configuration, a set of recommended linting rules for ongoing enforcement, and a structured auditing methodology to prioritize your UI migration.

    Unlike basic linters, this skill performs a semantic analysis to distinguish between an intentional one-off override and accidental drift, providing a strategic migration path rather than just flagging errors.

    The Enforcer is designed to work with any high-reasoning LLM (such as GPT-4 or Claude 3.5 Sonnet) that has access to your codebase via a CLI or IDE extension.

    Yes, because the skill defines governance and lint-level enforcement rules, it can be integrated into your CI/CD pipeline to block PRs that introduce non-standard tokens or 'zombie' components.