Web Artifacts Builder
anthropics/skills
Builds multi-component claude.ai HTML artifacts as a small React, TypeScript and Tailwind project, then bundles it into one shareable HTML file.
Modern React component patterns with hooks and TypeScript. An agent skill from langchain-ai/skills-benchmarks.
$ npx skills add langchain-ai/skills-benchmarks --skill react-components -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install langchain-ai/skills-benchmarks react-components --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/langchain-ai/skills-benchmarks.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/noise/react_components .claude/skills/react-components && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "react-components" agent skill from https://github.com/langchain-ai/skills-benchmarks/tree/main/skills/noise/react_components into .claude/skills/react-components/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "react-components", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/langchain-ai/skills-benchmarks/tree/main/skills/noise/react_componentsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add langchain-ai/skills-benchmarks --skill react-components -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install langchain-ai/skills-benchmarks react-components --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/skills-benchmarks.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/noise/react_components .agents/skills/react-components && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "react-components" agent skill from https://github.com/langchain-ai/skills-benchmarks/tree/main/skills/noise/react_components into .agents/skills/react-components/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "react-components", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add langchain-ai/skills-benchmarks --skill react-components -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install langchain-ai/skills-benchmarks react-components --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/skills-benchmarks.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/noise/react_components .cursor/skills/react-components && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "react-components" agent skill from https://github.com/langchain-ai/skills-benchmarks/tree/main/skills/noise/react_components into .cursor/skills/react-components/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "react-components", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/langchain-ai/skills-benchmarks.git --path skills/noise/react_components--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add langchain-ai/skills-benchmarks --skill react-components -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install langchain-ai/skills-benchmarks react-components --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/skills-benchmarks.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/noise/react_components .gemini/skills/react-components && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "react-components" agent skill from https://github.com/langchain-ai/skills-benchmarks/tree/main/skills/noise/react_components into .gemini/skills/react-components/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "react-components", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install langchain-ai/skills-benchmarks react-componentsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add langchain-ai/skills-benchmarks --skill react-components -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/langchain-ai/skills-benchmarks.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/noise/react_components .github/skills/react-components && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "react-components" agent skill from https://github.com/langchain-ai/skills-benchmarks/tree/main/skills/noise/react_components into .github/skills/react-components/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "react-components", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add langchain-ai/skills-benchmarks --skill react-components -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install langchain-ai/skills-benchmarks react-components --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/skills-benchmarks.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/noise/react_components .opencode/skills/react-components && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "react-components" agent skill from https://github.com/langchain-ai/skills-benchmarks/tree/main/skills/noise/react_components into .opencode/skills/react-components/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "react-components", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
react-componentsModern React component patterns with hooks and TypeScript. An agent skill from langchain-ai/skills-benchmarks.
React Components is an agent skill from langchain-ai/skills-benchmarks, published by the product's own GitHub organization. Modern React component patterns with hooks and TypeScript
Its SKILL.md is about 440 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Frontend & Design, covering React components. It works with TypeScript. The licence is MIT.
Read from SKILL.md and the folder at commit 9195f8c. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are typescript).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
React Components loads about 437 tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 36 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from langchain-ai/skills-benchmarks at commit 9195f8c, republished under its MIT licence (© langchain-ai). 36 words, ~437 tokens.
.claude/skills/react-components/SKILL.md (or your agent's skills folder).Build maintainable React components using modern patterns.
Always prefer functional components over class components:
import { useState, useEffect, useCallback } from 'react';
interface UserProps {
userId: string;
onUpdate?: (user: User) => void;
}
export function UserProfile({ userId, onUpdate }: UserProps) {
const [user, setUser] = useState<User | null>(null);
const [loading, setLoading] = useState(true);
useEffect(() => {
fetchUser(userId).then(setUser).finally(() => setLoading(false));
}, [userId]);
const handleSave = useCallback(async (data: UserData) => {
const updated = await updateUser(userId, data);
setUser(updated);
onUpdate?.(updated);
}, [userId, onUpdate]);
if (loading) return <Skeleton />;
if (!user) return <NotFound />;
return <UserForm user={user} onSave={handleSave} />;
}Extract reusable logic into custom hooks:
function useAsync<T>(asyncFn: () => Promise<T>, deps: any[]) {
const [state, setState] = useState<AsyncState<T>>({
loading: true,
error: null,
data: null,
});
useEffect(() => {
setState(s => ({ ...s, loading: true }));
asyncFn()
.then(data => setState({ loading: false, error: null, data }))
.catch(error => setState({ loading: false, error, data: null }));
}, deps);
return state;
}Use composition over prop drilling:
<Card>
<Card.Header>Title</Card.Header>
<Card.Body>{content}</Card.Body>
<Card.Footer>
<Button>Action</Button>
</Card.Footer>
</Card>© langchain-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/noise/react_components of langchain-ai/skills-benchmarks.
Open the folder on GitHubat commit 9195f8c
React Components next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| React Components this skilllangchain-ai/skills-benchmarks | 118 | — | ~437 | Automated safety check: Pass | MIT | |
| Web Artifacts Builderanthropics/skills | 180k | 40 repos | ~769 | Automated safety check: Pass | Apache-2.0 | |
| Dify Component Writing Guidelanggenius/dify | 158k | — | ~626 | Automated safety check: Pass | Custom licence | |
| React Frontend Development Guidelinesdiet103/claude-code-infrastructure-showcase | 10k | 2 repos | ~2.9k | Automated safety check: Pass | MIT | |
| Formik Form PatternsChrisWiles/claude-code-showcase | 6.1k | 3 repos | ~2.1k | Automated safety check: Pass | None | |
| Animated React Component LibrariesHainrixz/editor-pro-max | 260 | 1 repos | ~5.7k | Automated safety check: Pass | Custom licence |
anthropics/skills
Builds multi-component claude.ai HTML artifacts as a small React, TypeScript and Tailwind project, then bundles it into one shareable HTML file.
langgenius/dify
Use when implementing or refactoring React/TypeScript components and the task requires decisions about component ownership, feature boundaries, state, data…
diet103/claude-code-infrastructure-showcase
Guidelines for React 18 and TypeScript apps covering Suspense data fetching, lazy loading, feature folders, MUI v7 styling, TanStack Router and performance.
ChrisWiles/claude-code-showcase
Shows how to build forms with Formik and Yup validation, including conditional rules, field helpers, GraphQL submission, edit forms and multi-step flows.
Hainrixz/editor-pro-max
Helps choose and drop in animated React components from Magic UI and React Bits for landing pages, marketing sites and dashboards, instead of hand-coding animations.
Arize-ai/phoenix
Frontend development guidelines for the Phoenix AI observability platform.
langchain-ai/skills-benchmarks
INVOKE THIS SKILL at the START of any LangChain/LangGraph/Deep Agents project, before writing any agent code.
langchain-ai/skills-benchmarks
Build LangChain agents with modern patterns. An agent skill from langchain-ai/skills-benchmarks.
langchain-ai/skills-benchmarks
ALWAYS START HERE for any LangChain, Deep Agents, or LangGraph agent building project.
langchain-ai/skills-benchmarks
Unit testing and integration testing best practices. An agent skill from langchain-ai/skills-benchmarks.
langchain-ai/skills-benchmarks
OpenAPI documentation and REST API design patterns. An agent skill from langchain-ai/skills-benchmarks.
langchain-ai/skills-benchmarks
Database migration patterns and schema versioning. An agent skill from langchain-ai/skills-benchmarks.
Works with
Categories
Modern React component patterns with hooks and TypeScript. An agent skill from langchain-ai/skills-benchmarks. React Components is an agent skill from langchain-ai/skills-benchmarks, published by the product's own GitHub organization.
React Components fits situations like: tasks that involve React components.
Run `npx skills add langchain-ai/skills-benchmarks --skill react-components -a claude-code`. Or copy the skill folder (skills/noise/react_components in langchain-ai/skills-benchmarks) into .claude/skills/react-components in your project. Claude Code loads it when a task matches its description.
Run `npx skills add langchain-ai/skills-benchmarks --skill react-components -a codex`. Or copy the skill folder (skills/noise/react_components in langchain-ai/skills-benchmarks) into .agents/skills/react-components in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add langchain-ai/skills-benchmarks --skill react-components -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/react-components, .gemini/skills/react-components, .github/skills/react-components and .opencode/skills/react-components in your project.
SKILL.md names no scripts, command-line tools or credentials: React Components is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
React Components is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 437 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with React Components: Web Artifacts Builder (anthropics/skills, 180k stars), Dify Component Writing Guide (langgenius/dify, 158k stars), React Frontend Development Guidelines (diet103/claude-code-infrastructure-showcase, 10k stars) and Formik Form Patterns (ChrisWiles/claude-code-showcase, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
langchain-ai (a GitHub organization, an official publisher) maintains it in langchain-ai/skills-benchmarks, which has 118 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 21, 2026.
Source: langchain-ai/skills-benchmarks on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.