frontend-pattern

A collection of frontend development patterns for React and TypeScript web applications, covering components, state, data loading, URLs, and animations.

In plain words
What is it for?
Use it when building UI components, organizing feature modules, managing state, fetching data, syncing screens with URLs, or adding animations.
Why use it?
It helps keep growing interfaces understandable and avoids common problems such as duplicated interaction logic, tangled state, and unnecessary rendering.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/dvnghiem/flowdeck/frontend-pattern
Any agent
npx skills add DVNghiem/FlowDeck --skill frontend-pattern
Clone the repo
git clone --depth 1 https://github.com/DVNghiem/FlowDeck

Made for: Claude Code, Codex.

Per session 31 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,063 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00031 $0.01063
Opus 5 $0.00015 $0.00531
Sonnet 5 $0.00006 $0.00213
Haiku 4.5 $0.00003 $0.00106

Measured 2d ago against content hash a9855c504285, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

frontend-pattern 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 2d 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.

src/skills/frontend-pattern/SKILL.md · 159 lines

How it starts

The opening of the file, as written. The whole thing — 159 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Frontend Pattern Skill

Implements maintainable, performant frontend patterns using React and TypeScript.

When to Activate

Activate when:

  • Building new UI components
  • Setting up state management
  • Implementing data fetching
  • Adding animations or transitions
  • Structuring a new feature module

Component Patterns

Compound Components

Use compound components when related UI shares state and interaction semantics:

<Tabs defaultValue="overview">
  <Tabs.List>
    <Tabs.Trigger value="overview">Overview</Tabs.Trigger>
    <Tabs.Trigger value="settings">Settings</Tabs.Trigger>
  </Tabs.List>
  <Tabs.Content value="overview">...</Tabs.Content>
  <Tabs.Content value="settings">...</Tabs.Content>
</Tabs>
  • Parent owns state via useState or context
  • Children consume via context — no prop drilling
  • Keeps keyboard handling, ARIA, and focus logic in the headless layer

Container / Presentational Split

// Container — owns data loading and side effects
function UserProfileContainer({ userId }: { userId: string }) {
  const { data, isLoading } = useUser(userId);
  if (isLoading) return <Skeleton />;
  return <UserProfileView user={data} />;
}

// Presentational — receives props, renders UI
function UserProfileView({ user }: { user: User }) {
  return (
    <div>
      <Avatar src={user.avatar} />
      <h1>{user.name}</h1>
    </div>
  );
}

State Management

Concern Tooling
Server state TanStack Query, SWR, tRPC
Client state Zustand, Jotai, signals
URL state search params, route segments
Form state React Hook Form or equivalent

Do not duplicate server state into client stores. Derive values instead of storing redundant computed state.

URL As State

Persist shareable, bookmarkable state in the URL:

// Good: filters, sort, pagination in URL
const [searchParams, setSearchParams] = useSearchParams();
const filter = searchParams.get('filter') ?? 'all';

// Usage
<button onClick={() => setSearchParams({ filter: 'active' })}>
  Active
</button>

Read the full file on GitHub · 159 lines

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. 2d ago First seen · 159 lines · 31 tokens per session scan A a9855c504285

Subscribe to this mod's changes

frontend-pattern is a skill published in the GitHub repository DVNghiem/FlowDeck (24 stars, last pushed 13d ago), licensed MIT. It adds 31 tokens to every session and 1,063 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.

Related

Other skills, from other repositories

oh-my-opencode-slim

Configure and improve oh-my-opencode-slim for the current user. Use when users want to tune agents, models, prompts, custom agents, skills, MCPs, presets, or plugin behavior. Also use when recurring workflow friction suggests a safe config or prompt improvement.

alvinunreal/oh-my-opencode-slim · 61 tokens

reflect

Review recent work, find repeated workflow patterns, and suggest reusable skills, agents, commands, config changes, or playbooks. Use when the user asks to learn from past sessions, improve recurring workflows, or identify what should be turned into reusable agent instructions.

alvinunreal/oh-my-opencode-slim · 53 tokens

clonedeps

Clone important project dependency source code into an ignored local workspace so OpenCode can inspect library internals. Use when the user asks to clone dependencies, inspect dependency/source internals, understand SDK/framework behavior from source, debug library implementation details, or make core dependency repos…

alvinunreal/oh-my-opencode-slim · 76 tokens

codemap

Generate comprehensive hierarchical codemaps for UNFAMILIAR repositories. Expensive operation - only use when explicitly asked for codebase documentation or initial repository mapping.

alvinunreal/oh-my-opencode-slim · 34 tokens

deepwork

High-cost orchestrator workflow for large, high-risk, multi-phase coding efforts with meaningful dependencies and review gates. Do not activate for routine multi-file changes.

alvinunreal/oh-my-opencode-slim · 34 tokens

worktrees

Manage Git worktrees as OMO safe isolated coding lanes for complex, risky, or parallel work.

alvinunreal/oh-my-opencode-slim · 23 tokens