vercel-composition-patterns

vercel-composition-patterns is a skill for Claude Code, Codex from guanyang/open-agent-hub. It costs 58 tokens per session (626 once invoked), scanned A, a copy of vercel-composition-patterns, MIT.

A set of patterns for building flexible, reusable React components, where larger components are assembled from smaller cooperating parts. React is a JavaScript library for building user interfaces.

In plain words
What is it for?
Use it when designing component libraries, refactoring components with too many boolean properties, or working with compound components, shared context, render props, and React 19 APIs.
Why use it?
It helps avoid components becoming difficult to maintain when many true-or-false options are added to control their behavior.

Skill for Claude CodeCodex

Part of the open-agent-hub plugin — 46 skills, 3 commands, 5 agents, 6 MCP servers shipped together

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/guanyang/open-agent-hub/composition-patterns
Any agent
npx skills add guanyang/open-agent-hub --skill composition-patterns
Clone the repo
git clone --depth 1 https://github.com/guanyang/open-agent-hub

Made for: Claude Code, Codex.

Or install open-agent-hub, the plugin that ships this one along with the rest of its 46 skills, 3 commands, 5 agents, 6 MCP servers.

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 vercel-composition-patterns

README.md
[![agentmods](https://agentmods.dev/badge/skills/guanyang/open-agent-hub/composition-patterns.svg)](https://agentmods.dev/skills/guanyang/open-agent-hub/composition-patterns)
Your own site
<a href="https://agentmods.dev/skills/guanyang/open-agent-hub/composition-patterns"><img src="https://agentmods.dev/badge/skills/guanyang/open-agent-hub/composition-patterns.svg" alt="Measured on agentmods" height="20"></a>
Per session 58 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 626 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 88% 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 $0.00058 $0.00626
Opus 5 $0.00029 $0.00313
Sonnet 5 $0.00012 $0.00125
Haiku 4.5 $0.00006 $0.00063

Measured 4d ago against content hash e38e0eaa6093, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

vercel-composition-patterns 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 4d 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

88% identical to vercel-composition-patterns — 5 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.

skills/composition-patterns/SKILL.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

React Composition Patterns

Composition patterns for building flexible, maintainable React components. Avoid boolean prop proliferation by using compound components, lifting state, and composing internals. These patterns make codebases easier for both humans and AI agents to work with as they scale.

When to Apply

Reference these guidelines when:

  • Refactoring components with many boolean props
  • Building reusable component libraries
  • Designing flexible component APIs
  • Reviewing component architecture
  • Working with compound components or context providers

Rule Categories by Priority

Priority Category Impact Prefix
1 Component Architecture HIGH architecture-
2 State Management MEDIUM state-
3 Implementation Patterns MEDIUM patterns-
4 React 19 APIs MEDIUM react19-

Quick Reference

1. Component Architecture (HIGH)

  • architecture-avoid-boolean-props - Don't add boolean props to customize behavior; use composition
  • architecture-compound-components - Structure complex components with shared context

2. State Management (MEDIUM)

  • state-decouple-implementation - Provider is the only place that knows how state is managed
  • state-context-interface - Define generic interface with state, actions, meta for dependency injection
  • state-lift-state - Move state into provider components for sibling access

3. Implementation Patterns (MEDIUM)

  • patterns-explicit-variants - Create explicit variant components instead of boolean modes
  • patterns-children-over-render-props - Use children for composition instead of renderX props

4. React 19 APIs (MEDIUM)

⚠️ React 19+ only. Skip this section if using React 18 or earlier.

  • react19-no-forwardref - Don't use forwardRef; use use() instead of useContext()

Read the full file on GitHub · 90 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. 4d ago First seen · 90 lines · 58 tokens per session scan A e38e0eaa6093

Subscribe to this mod's changes

vercel-composition-patterns is a skill published in the GitHub repository guanyang/open-agent-hub (960 stars, last pushed today), licensed MIT. It adds 58 tokens to every session and 626 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to vercel-composition-patterns, differing in 5 lines, and is treated as a copy.

Related

Other skills, from other repositories

la-le-me

以中文、English 或中英双语记录、解释和复盘成人日常排便与肠道健康信息,包括 Bristol 便形文字分类、频次和时段趋势、食物线索、可持续饮食调整、季节菜谱、每日排便提醒,以及危险信号分流和经同意的附近就医机构查找。Use for Chinese, English, or bilingual requests about poop, stool, bowel movements, constipation or diarrhea tendencies, foods associated with a bowel change, gut-friendly meals, recurring bowel-health…

BulletsHo/la-le-me · 140 tokens

generating-project-rules

Make sure to use this skill WHENEVER the user mentions creating, generating, or updating project rules files (.cursorrules, AGENTS.md, CLAUDE.md, GEMINI.md, or equivalent) for any software project. This is essential when a user wants to integrate AI skills into their development workflow, or when they need…

naravid19/ai-project-rules-generator · 98 tokens

newton

Reasoning and sparring partner mode for rigorous, calibrated engagement on any topic — pressure-testing ideas, researching with current authoritative sources, running reuse-before-rebuild checks on "how do I" tasks, and scoping work thoroughly before diving in. Use this skill ONLY when the user explicitly invokes…

PBNZ/newton-skill · 127 tokens

python-pro

🚀 Professional AI Agent orchestrator for generating tailored rules and AGENTS.md with deterministic JIT skill discovery. Optimized for Context Savings and Agent Alignment.

naravid19/ai-project-rules-generator · 0 tokens

found

🚀 Professional AI Agent orchestrator for generating tailored rules and AGENTS.md with deterministic JIT skill discovery. Optimized for Context Savings and Agent Alignment.

naravid19/ai-project-rules-generator · 0 tokens

sample-skill

Capability summary.

naravid19/ai-project-rules-generator · 6 tokens