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frontend-design-direction

Set an ECC-specific frontend design direction for production UI work. Use when building or improving websites, dashboards, applications, components, landing pages, visual tools, or any web UI that needs stronger product-specific design judgment.

frontend-design-direction とは?

frontend-design-direction is a Claude Code agent skill that set an ECC-specific frontend design direction for production UI work. Use when building or improving websites, dashboards, applications, components, landing pages, visual tools, or any web UI that needs stronger product-specific design judgment.

対応Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/ECC/tree/main/skills/frontend-design-direction

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ドキュメント

Frontend Design Direction

Use this skill when the work is not just making UI function, but making it feel purposeful, polished, and appropriate to the product domain.

Source: salvaged from stale community PR #1659 by linus707.

Note: ECC intentionally does not rebundle the canonical Anthropic frontend-design skill. Install that from anthropics/skills when you want the official upstream skill. This skill is the ECC-specific design-direction salvage of the useful local guidance from #1659.

When to Use

  • The user asks to build a web page, app, dashboard, artifact, component, or UI.
  • The user asks to make an interface more polished, distinctive, beautiful, or less generic.
  • The implementation needs visual hierarchy, typography, color, motion, layout, and interaction choices.
  • The current UI works but reads as flat, generic, templated, or mismatched to the audience.

Design Direction

Before coding, choose a specific direction:

  1. Purpose: what job does the interface do?
  2. Audience: who repeats this workflow, and what do they need to scan first?
  3. Tone: utilitarian, editorial, playful, industrial, refined, technical, maximal, minimal, dense, calm, or another explicit direction.
  4. Memorable detail: one design idea that makes the result feel intentional.
  5. Constraints: framework, accessibility, performance, responsiveness, and existing design system.

Match the direction to the domain. A SaaS operations tool should usually be dense, quiet, and scannable. A portfolio, launch page, game, or editorial piece can be more expressive. Do not force a landing-page composition onto a tool that needs repeated daily use.

Implementation Guidance

  • Build the actual usable experience as the first screen unless the user explicitly asks for marketing copy.
  • Use existing project components, tokens, icon libraries, and routing patterns before introducing a new visual system.
  • Use real or generated visual assets when the interface depends on images, products, places, people, gameplay, charts, or inspectable media.
  • Prefer contextual typography and spacing over generic oversized hero text.
  • Keep palettes multi-dimensional: avoid a UI dominated by one hue family.
  • Use CSS variables or existing design tokens so the direction remains coherent across states.
  • Design responsive constraints explicitly: grids, aspect ratios, min/max sizes, stable toolbars, and fixed-format controls should not shift when labels or hover states appear.
  • Use motion sparingly but deliberately. Prefer high-signal transitions that clarify state over decorative animation.
  • Verify text fit on mobile and desktop. Long labels must wrap or resize cleanly rather than overflowing.

Anti-Patterns

  • Do not default to common generated patterns: purple gradients, decorative blobs, oversized cards, vague hero copy, or stock-like atmospheric media.
  • Do not add UI cards inside other cards.
  • Do not use a single decorative style everywhere when the domain calls for restraint.
  • Do not hide the primary product, tool, object, or workflow behind generic marketing sections.
  • Do not add a new dependency for a design flourish unless it clearly pays for itself.
  • Do not describe the UI's features inside the UI when the controls can speak for themselves.

Review Checklist

  • The first viewport immediately communicates the product, workflow, or object.
  • The visual hierarchy supports scanning and repeated use.
  • Typography fits the container and does not overlap adjacent content.
  • Color choices have contrast and do not collapse into a one-note palette.
  • Icons are used for familiar tool actions where available.
  • Responsive layout has stable dimensions for boards, grids, toolbars, controls, tiles, and counters.
  • Assets render and carry the subject matter instead of acting as filler.
  • Motion improves orientation and does not mask sluggishness.
  • The result matches the repo's existing frontend conventions unless there is a clear reason to depart.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/content-engine

Create platform-native content systems for X, LinkedIn, TikTok, YouTube, newsletters, and repurposed multi-platform campaigns. Use when the user wants social posts, threads, scripts, content calendars, or one source asset adapted cleanly across platforms.

affaan-m/fal-ai-media

Unified media generation via fal.ai MCP — image, video, and audio. Covers text-to-image (Nano Banana), text/image-to-video (Seedance, Kling, Veo 3), text-to-speech (CSM-1B), and video-to-audio (ThinkSound). Use when the user wants to generate images, videos, or audio with AI.

affaan-m/manim-video

日本語翻訳:このファイルは manim-video 用の日本語翻訳が必要です

affaan-m/remotion-video-creation

Remotion のベストプラクティス - React で動画を作成する。3D、アニメーション、音声、字幕、チャート、トランジションなどをカバーするドメイン固有の29のルール。

affaan-m/video-editing

AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

agent-self-evaluation

Use after completing any non-trivial task. The agent self-rates its output on 5 axes — accuracy, completeness, clarity, actionability, conciseness — with concrete evidence per criterion. Produces a structured 1-5 scorecard with specific improvement suggestions.

agent-sort

Build an evidence-backed ECC install plan for a specific repo by sorting skills, commands, rules, hooks, and extras into DAILY vs LIBRARY buckets using parallel repo-aware review passes. Use when ECC should be trimmed to what a project actually needs instead of loading the full bundle.

ai-first-engineering

Engineering operating model for teams where AI agents generate a large share of implementation output. Use when setting team process, review gates, or ownership rules for a codebase largely written by agents.

ai-regression-testing

Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code. Use when adding regression coverage to AI-assisted code, or when the same model both wrote and reviewed a change.

android-clean-architecture

Clean Architecture patterns for Android and Kotlin Multiplatform projects — module structure, dependency rules, UseCases, Repositories, and data layer patterns. Use when structuring modules, layers, or data flow in an Android or KMP project.

angular-developer

Generates Angular code and provides architectural guidance. Trigger when creating projects, components, or services, or for best practices on reactivity (signals, linkedSignal, resource), forms, dependency injection, routing, SSR, accessibility (ARIA), animations, styling (component styles, Tailwind CSS), testing, or CLI tooling.

api-connector-builder

Build a new API connector or provider by matching the target repo

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