agent-feed: Skill for Claude Code

.agents/skills/frontend-design/SKILL.md

frontend-design is a skill for Claude Code, Codex from fqmyysjjd/agent-feed. It costs 77 tokens per session (868 once invoked), scanned A, a copy of frontend-design, MIT.

A design and coding guide for building polished web interfaces, including pages, dashboards, components, posters, and applications. It helps choose a clear visual style and turn it into working frontend code.

In plain words
What is it for?
Use it when creating or restyling websites, landing pages, dashboards, React components, or HTML and CSS layouts.
Why use it?
It helps avoid generic-looking interfaces by making the purpose, audience, visual direction, and technical limits explicit before coding.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is fqmyysjjd/agent-feed's own configuration. It tells Claude Code and Codex how to work on agent-feed itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything agent-feed configures →

Reuse

Borrowing it

Nothing to install: this file belongs to fqmyysjjd/agent-feed. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/fqmyysjjd/agent-feed/main/.agents/skills/frontend-design/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/fqmyysjjd/agent-feed

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for frontend-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/fqmyysjjd/agent-feed/frontend-design.svg)](https://agentmods.dev/skills/fqmyysjjd/agent-feed/frontend-design)
Your own site
<a href="https://agentmods.dev/skills/fqmyysjjd/agent-feed/frontend-design"><img src="https://agentmods.dev/badge/skills/fqmyysjjd/agent-feed/frontend-design.svg" alt="Measured on agentmods" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 868 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 94% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00077 $0.00868
Opus 5 $0.00039 $0.00434
Sonnet 5 $0.00015 $0.00174
Haiku 4.5 $0.00008 $0.00087

Measured 8d ago against content hash 139d248fe98e, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

frontend-design scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

94% identical to frontend-design — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/frontend-design/SKILL.md · 45 lines

How it starts

The opening of the file, as written. The whole thing — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.

This skill guides creation of distinctive, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. Implement real working code with exceptional attention to aesthetic details and creative choices.

The user provides frontend requirements: a component, page, application, or interface to build. They may include context about the purpose, audience, or technical constraints.

Design Thinking

Before coding, understand the context and commit to a BOLD aesthetic direction:

  • Purpose: What problem does this interface solve? Who uses it?
  • Tone: Pick an extreme: brutally minimal, maximalist chaos, retro-futuristic, organic/natural, luxury/refined, playful/toy-like, editorial/magazine, brutalist/raw, art deco/geometric, soft/pastel, industrial/utilitarian, etc. There are so many flavors to choose from. Use these for inspiration but design one that is true to the aesthetic direction.
  • Constraints: Technical requirements (framework, performance, accessibility).
  • Differentiation: What makes this UNFORGETTABLE? What's the one thing someone will remember?

CRITICAL: Choose a clear conceptual direction and execute it with precision. Bold maximalism and refined minimalism both work - the key is intentionality, not intensity.

Then implement working code (HTML/CSS/JS, React, Vue, etc.) that is:

  • Production-grade and functional
  • Visually striking and memorable
  • Cohesive with a clear aesthetic point-of-view
  • Meticulously refined in every detail

Frontend Aesthetics Guidelines

Focus on:

  • Typography: Choose fonts that are beautiful, unique, and interesting. Avoid generic fonts like Arial and Inter; opt instead for distinctive choices that elevate the frontend's aesthetics; unexpected, characterful font choices. Pair a distinctive display font with a refined body font.
  • Color & Theme: Commit to a cohesive aesthetic. Use CSS variables for consistency. Dominant colors with sharp accents outperform timid, evenly-distributed palettes.
  • Motion: Use animations for effects and micro-interactions. Prioritize CSS-only solutions for HTML. Use Motion library for React when available. Focus on high-impact moments: one well-orchestrated page load with staggered reveals (animation-delay) creates more delight than scattered micro-interactions. Use scroll-triggering and hover states that surprise.
  • Spatial Composition: Unexpected layouts. Asymmetry. Overlap. Diagonal flow. Grid-breaking elements. Generous negative space OR controlled density.
  • Backgrounds & Visual Details: Create atmosphere and depth rather than defaulting to solid colors. Add contextual effects and textures that match the overall aesthetic. Apply creative forms like gradient meshes, noise textures, geometric patterns, layered transparencies, dramatic shadows, decorative borders, custom cursors, and grain overlays.

Read the full file on GitHub · 45 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 45 lines · 77 tokens per session scan A 139d248fe98e

Subscribe to this mod's changes

frontend-design is a skill published in the GitHub repository fqmyysjjd/agent-feed (4 stars, last pushed 4mo ago), licensed MIT. It adds 77 tokens to every session and 868 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 94% identical to frontend-design, differing in 2 lines, and is treated as a copy.

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