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frontend-design

Production-grade Agent Skills for AI coding agents—composable workflows for planning, TDD, debugging, review, UI/UX, releases, incidents, and evals.

Install / Use

npx skills add thiientv/godmode --skill frontend-design

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

57/100

Category

Automation

Supported Platforms

Universal

Our assessment of frontend-design

frontend-design scores 57/100 on our quality scale, 2761st of 2,903 Automation skills we index.

Its SKILL.md is 4.0 KB long, split into 5 sections and no code examples: a solid amount of guidance for an agent.

It has no GitHub stars yet, so there is no community track record; judge it on its content.

Substance
26/30
Structure
11/20
Description
15/15
Adoption
0/20
Freshness
5/15

Maintenance, license and trust

  • We could not determine when the repository was last updated.
  • No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
  • Its trust signals score 68/100, with 3 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

frontend-design compared with similar skills

All 4 of these similar skills score higher than frontend-design; compare them before choosing.

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frontend-design (this skill)by thiientv570—SKILL.md
Agent-Reachby Panniantong10094.1ktodayCLAUDE.md
Scraplingby D4Vinci10086.4ktodayMCP Server
rufloby ruvnet10074.1ktodayMCP Server
algorithmic-artby anthropics100177.9k16d agoSKILL.md

Frequently asked questions

How do I install frontend-design?
Run npx skills add thiientv/godmode --skill frontend-design. The install tabs above show the steps for each supported agent.
Which AI agents does frontend-design work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is frontend-design safe to use?
It declares no license and scores 68/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is frontend-design still maintained?
We could not determine when the repository was last updated.

name: frontend-design description: >- Designs, builds, or refactors user-facing web or application interfaces with deliberate visual direction, typography, color and spacing tokens, content hierarchy, responsive behavior, accessible interaction states, and real rendered-surface verification. Use for pages, components, dashboards, landing pages, design systems, and frontend polish. Not for backend logic, API-only work, or visual claims that cannot be rendered or inspected.

Frontend Design

Build an interface with a point of view and a usable system, not a collection of default cards.

Before writing UI code

  1. Inspect the existing product, design tokens, routes, components, assets, fonts, and responsive conventions. Preserve a real system unless a scoped redesign is intended.

  2. Identify product type, user context, primary action, content hierarchy, brand constraints, supported viewport range, and available visual assets.

  3. Extract the existing visual system before inventing one. Inspect CSS variables, theme configuration, type loading, spacing, radii, breakpoints, component variants, and recurring layout patterns. Use the dependency-free helper when the system is spread across source files:

    python3 skills/frontend-design/scripts/extract_design_system.py ./src
    

    Read design-system-extraction.md before replacing or normalizing an existing token system.

  4. Choose a visual direction and record the reason: type pairing, color role, density, shape language, imagery, and motion voice. Use the local scripts/design_system.py helper for a deterministic starting brief when a project has no design system:

    python3 skills/frontend-design/scripts/design_system.py \
      --product "analytics dashboard" --tone "technical" --stack react
    

    Search the small bundled design-intelligence catalog when a choice needs comparison; read design-intelligence.md for the supported domains and limits. Do not treat a catalog result as a substitute for inspecting the existing product.

  5. Define semantic tokens before scattering raw values through components.

  6. Sketch the primary flow and all meaningful states: loading, empty, error, disabled, success, permission, and long-content cases.

Build the system

  • Use real content, realistic dimensions, and an intentional type scale.
  • Prefer composition and hierarchy over decorative gradients, excessive shadows, or nested card stacks.
  • Make controls semantic, keyboard reachable, focus-visible, and labeled.
  • Design mobile and intermediate widths as first-class states, not a desktop layout squeezed into a phone.
  • Make motion explain state or spatial continuity; provide reduced motion.
  • Use icons consistently and never substitute emoji for product controls.

Read design-system.md for direction, tokens, and anti-generic heuristics. Read interaction-states.md for state and accessibility detail. Read stack-adapters.md only for the detected implementation stack. Use browser-testing for a real browser flow and ui-ux-review for a separate quality pass.

Visual verification

Render the actual route at the narrow, intermediate, and desktop widths. Check hierarchy, overflow, focus, contrast, state transitions, content wrapping, and reduced-motion behavior. Exercise the primary task with keyboard-only input and run the project's accessibility tooling when available. Capture the state and viewport matrix from runtime-validation.md. Record screenshots or observations; source inspection alone cannot prove a visual claim.

Completion condition

The primary flow is usable, visual decisions are coherent and intentional, states and responsive behavior are covered, accessibility is not traded for appearance, and relevant rendered evidence is fresh.

Related Skills

View on GitHub
GitHub Stars0
CategoryAutomation
UpdatedNaNy ago
Forks0

Trust signals

68/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

2 medium1 low