convey: Skill for Claude Code

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

frontend-design is a skill for Claude Code, Codex from bitovi/convey. It costs 43 tokens per session (388 once invoked), scanned A, original, MIT.

A design and implementation guide for building polished web pages, components, and applications. It covers visual direction, typography, colors, motion, accessibility, and working production code.

In plain words
What is it for?
Planning a web interface, choosing its visual style, building responsive components, refining interactions, and creating production-ready frontend code.
Why use it?
It helps developers make interfaces with a deliberate visual identity instead of relying on generic layouts and styling.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

This is bitovi/convey's own configuration. It tells Claude Code and Codex how to work on convey 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 convey configures →

Reuse

Borrowing it

Nothing to install: this file belongs to bitovi/convey. 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/bitovi/convey/main/.github/skills/frontend-design/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/bitovi/convey

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/bitovi/convey/frontend-design.svg)](https://agentmods.dev/skills/bitovi/convey/frontend-design)
Your own site
<a href="https://agentmods.dev/skills/bitovi/convey/frontend-design"><img src="https://agentmods.dev/badge/skills/bitovi/convey/frontend-design.svg" alt="Measured on agentmods" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 388 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 original No closer match found 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 $0.00043 $0.00388
Opus 5 $0.00022 $0.00194
Sonnet 5 $0.00009 $0.00078
Haiku 4.5 $0.00004 $0.00039

Measured 7d ago against content hash a449e363af1c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, 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 7d 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.

.github/skills/frontend-design/SKILL.md · 34 lines

What it actually says

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.

Design Thinking

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

  • Purpose: What problem does this interface solve? Who uses it?
  • Tone: Pick a direction: minimalist, playful, editorial, industrial, luxury, etc.
  • Constraints: Technical requirements (framework, performance, accessibility).
  • Differentiation: What makes this UNFORGETTABLE?

Then implement working code 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 elevate the design. 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. Focus on high-impact moments.
  • Spatial Composition: Unexpected layouts. Asymmetry. Generous negative space OR controlled density.
  • Backgrounds & Visual Details: Create atmosphere and depth rather than defaulting to solid colors.

NEVER use generic AI-generated aesthetics like overused font families, cliched color schemes, predictable layouts, and cookie-cutter design.

Match implementation complexity to the aesthetic vision. Maximalist designs need elaborate code. Minimalist designs need restraint and precision.

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. 7d ago First seen · 34 lines · 43 tokens per session scan A a449e363af1c

Subscribe to this mod's changes

frontend-design is a skill published in the GitHub repository bitovi/convey (46 stars, last pushed 21d ago), licensed MIT. It adds 43 tokens to every session and 388 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.