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.
リポジトリの根拠に基づき、Reactの環境、コンポーネントアーキテクチャ、状態・データフロー、ビルド検証、フロントエンドの非機能基準を定義。Reactフロントエンド、そのビルド、ランタイム境界の設定・設計時に使用。
$ npx skills add shinpr/ai-coding-project-boilerplate --skill frontend-technical-spec -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install shinpr/ai-coding-project-boilerplate frontend-technical-spec --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/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills-ja/frontend-technical-spec .claude/skills/frontend-technical-spec && 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 "frontend-technical-spec" agent skill from https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-ja/frontend-technical-spec into .claude/skills/frontend-technical-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-technical-spec", 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/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-ja/frontend-technical-specType 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 shinpr/ai-coding-project-boilerplate --skill frontend-technical-spec -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install shinpr/ai-coding-project-boilerplate frontend-technical-spec --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills-ja/frontend-technical-spec .agents/skills/frontend-technical-spec && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "frontend-technical-spec" agent skill from https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-ja/frontend-technical-spec into .agents/skills/frontend-technical-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-technical-spec", 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 shinpr/ai-coding-project-boilerplate --skill frontend-technical-spec -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install shinpr/ai-coding-project-boilerplate frontend-technical-spec --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills-ja/frontend-technical-spec .cursor/skills/frontend-technical-spec && 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 "frontend-technical-spec" agent skill from https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-ja/frontend-technical-spec into .cursor/skills/frontend-technical-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-technical-spec", 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/shinpr/ai-coding-project-boilerplate.git --path .claude/skills-ja/frontend-technical-spec--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 shinpr/ai-coding-project-boilerplate --skill frontend-technical-spec -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install shinpr/ai-coding-project-boilerplate frontend-technical-spec --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills-ja/frontend-technical-spec .gemini/skills/frontend-technical-spec && 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 "frontend-technical-spec" agent skill from https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-ja/frontend-technical-spec into .gemini/skills/frontend-technical-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-technical-spec", 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 shinpr/ai-coding-project-boilerplate frontend-technical-specInstalls 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 shinpr/ai-coding-project-boilerplate --skill frontend-technical-spec -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills-ja/frontend-technical-spec .github/skills/frontend-technical-spec && 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 "frontend-technical-spec" agent skill from https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-ja/frontend-technical-spec into .github/skills/frontend-technical-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-technical-spec", 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 shinpr/ai-coding-project-boilerplate --skill frontend-technical-spec -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install shinpr/ai-coding-project-boilerplate frontend-technical-spec --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills-ja/frontend-technical-spec .opencode/skills/frontend-technical-spec && 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 "frontend-technical-spec" agent skill from https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-ja/frontend-technical-spec into .opencode/skills/frontend-technical-spec/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "frontend-technical-spec", 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.
frontend-technical-specリポジトリの根拠に基づき、Reactの環境、コンポーネントアーキテクチャ、状態・データフロー、ビルド検証、フロントエンドの非機能基準を定義。Reactフロントエンド、そのビルド、ランタイム境界の設定・設計時に使用。
Frontend Technical Spec is an agent skill from shinpr/ai-coding-project-boilerplate. リポジトリの根拠に基づき、Reactの環境、コンポーネントアーキテクチャ、状態・データフロー、ビルド検証、フロントエンドの非機能基準を定義。Reactフロントエンド、そのビルド、ランタイム境界の設定・設計時に使用。
Its SKILL.md is about 1.1k 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. It works with React. The repository describes itself as: Agentic coding TypeScript boilerplate for Claude Code: sub-agent workflows with built-in quality checks and context engineering. The licence is MIT.
Read from SKILL.md and the folder at commit 56913a2. 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 these keys or tokens, usually read from environment variables:
VITE_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Frontend Technical Spec loads about 1.1k tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 137 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 noted patterns worth knowing about, such as sudo or a known installer.
- ローカルの`.env`ファイルはバージョン管理の対象外とし、必要な変数名はシークレットを含まないサンプルファイルで示す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 shinpr/ai-coding-project-boilerplate at commit 56913a2, republished under its MIT licence (© shinpr). 137 words, ~1,147 tokens.
.claude/skills/frontend-technical-spec/SKILL.md (or your agent's skills folder).ツールやフレームワークに固有のルールを適用する前に、package.json、ロックファイル、TypeScript・ビルド設定、CI定義、代表的なコンポーネントを確認する。React、Vite、Next.js、状態管理ライブラリ、フォームライブラリ、スクリプトは、リポジトリ内の根拠に明記されている場合にのみ利用可能として扱う。周辺のパターンから導いた結論には推測であることを明記する。不足している判断によってレンダリングアーキテクチャ、互換性、セキュリティ、検証方法が変わる場合は作業を止め、必要な根拠またはユーザー判断を具体的に示す。
リポジトリ設定からTypeScriptベースのReactアプリケーションであることを確認できる場合に、このルールを適用する。現行要件と制約を、コンポーネントの責務、状態の所有者、サーバー/クライアント境界、観測可能な検証点へ対応付けてアーキテクチャを選択する。
// ビルドツールの環境変数(公開値のみ。クライアント公開変数は VITE_ 接頭辞が必要)
const config = {
apiUrl: import.meta.env.VITE_API_URL || 'http://localhost:3000',
appName: import.meta.env.VITE_APP_NAME || 'My App'
}
// フロントエンドでは動作しない
const apiUrl = process.env.API_URL // NG.envファイルはバージョン管理の対象外とし、必要な変数名はシークレットを含まないサンプルファイルで示す秘密情報の正しい取り扱い:
// セキュリティリスク: APIキーがブラウザで露出
const apiKey = import.meta.env.VITE_API_KEY
const response = await fetch(`https://api.example.com/data?key=${apiKey}`)
// 正しい: バックエンドが秘密情報を管理、フロントエンドはプロキシ経由でアクセス
const response = await fetch('/api/data') // バックエンドがAPIキー認証を処理Reactコンポーネントアーキテクチャ:
以下のルールでコンポーネントと状態管理のパターンを選択する:
状態管理パターン:
useStateReactアプリケーション全体で一貫したデータフローを維持:
Single Source of Truth: 各状態には1つの権威あるソースがある
単方向フロー: データはPropsを通じて上から下へ流れる
APIレスポンス → State → Props → Render → UI
ユーザー入力 → イベントハンドラ → State更新 → 再レンダリングImmutable Updates: State更新には不変パターンを使用
// 不変なState更新
setUsers(prev => [...prev, newUser])
// 無効な可変State更新
users.push(newUser)
setUsers(users)unknown) → 型ガード → State(型保証済み)// 型安全なデータフロー
async function fetchUser(id: string): Promise<User> {
const response = await fetch(`/api/users/${id}`)
const data: unknown = await response.json()
if (!isUser(data)) {
throw new Error('Invalid user data')
}
return data // User型として保証
}packageManagerフィールド、ロックファイル、CIコマンドの順にパッケージマネージャーを判定する。選択したマニフェストに存在するスクリプトだけを実行する。
test - テスト実行実装完了時に品質チェックは必須:
Phase 1-3: 基本チェック
check - Biome(lint + format)build - TypeScriptビルドフェーズ移行条件: 設定済みのlint、format、型、ビルドのチェックがすべて正常終了していること。必須スクリプトが存在しない場合はマニフェストまたは設定のパスとともに報告し、残りのチェックは引き続き実行する。そのチェックがないことで必要な証明が得られなくなるかどうかは、quality-fixerの結果で判断する。
Phase 4-5: テストと最終確認
test - テスト実行check:all - 全体統合チェック完了条件: 設定済みのテストと本番ビルドが成功し、テストに伴う修正後も統合チェックが成功していること。環境依存のテストを実行できない場合は、ブロック要因となる前提条件を具体的に記録する。
© shinpr, 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 .claude/skills-ja/frontend-technical-spec of shinpr/ai-coding-project-boilerplate.
Open the folder on GitHubat commit 56913a2
Frontend Technical Spec 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 |
|---|---|---|---|---|---|---|
| Frontend Technical Spec this skillshinpr/ai-coding-project-boilerplate | 233 | — | ~1.1k | Automated safety check: Notes | MIT | |
| Web Artifacts Builderanthropics/skills | 180k | 41 repos | ~769 | Automated safety check: Pass | Apache-2.0 | |
| React Doctormakeplane/plane | 61k | 12 repos | ~657 | Automated safety check: Pass | AGPL-3.0 | |
| React Router Developmentremix-run/react-router | 57k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| React UI State PatternsChrisWiles/claude-code-showcase | 6.1k | 8 repos | ~1.6k | Automated safety check: Pass | None | |
| GSAP Core Animationgreensock/gsap-skills | 16k | 4 repos | ~3.7k | Automated safety check: Pass | MIT |
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.
makeplane/plane
Scans React code for lint, accessibility, bundle size and architecture issues, reports a health score and checks that changes do not lower it.
remix-run/react-router
Guides work on React Router apps by first identifying whether the app uses Framework, Data or Declarative mode, then loading the matching reference and the installed package docs.
ChrisWiles/claude-code-showcase
Sets patterns for React interfaces: when to show loading spinners or skeletons, how to surface errors, how to disable buttons during async work and how to handle empty lists.
greensock/gsap-skills
Covers the GSAP core API for tweens, easing, staggers, defaults and matchMedia, and when to choose GSAP over CSS animations or other JavaScript animation libraries.
lobehub/lobehub
Builds single-file interactive HTML prototypes rendered with the real LobeHub UI components and written as production-style React, so they can later be split into files.
shinpr/ai-coding-project-boilerplate
Selects and designs the smallest integration/E2E test set that proves accepted behavior at an observable boundary.
shinpr/ai-coding-project-boilerplate
Evaluates and optimizes skill file quality using 9 content patterns and 10 editing principles.
shinpr/ai-coding-project-boilerplate
Defines React environment, component architecture, state/data flow, build verification, and frontend non-functional criteria from repository evidence.
shinpr/ai-coding-project-boilerplate
Applies React/TypeScript type safety, component design, and state management rules.
shinpr/ai-coding-project-boilerplate
Selects implementation strategy (vertical slice, horizontal, or hybrid) with risk assessment.
shinpr/ai-coding-project-boilerplate
Coordinates subagents through scale-based planning, approval, implementation, verification, and escalation flows.
Works with
Categories
リポジトリの根拠に基づき、Reactの環境、コンポーネントアーキテクチャ、状態・データフロー、ビルド検証、フロントエンドの非機能基準を定義。Reactフロントエンド、そのビルド、ランタイム境界の設定・設計時に使用。. Frontend Technical Spec is an agent skill from shinpr/ai-coding-project-boilerplate.
Frontend Technical Spec fits situations like: frontend & Design work in your project.
Run `npx skills add shinpr/ai-coding-project-boilerplate --skill frontend-technical-spec -a claude-code`. Or copy the skill folder (.claude/skills-ja/frontend-technical-spec in shinpr/ai-coding-project-boilerplate) into .claude/skills/frontend-technical-spec in your project. Claude Code loads it when a task matches its description.
Run `npx skills add shinpr/ai-coding-project-boilerplate --skill frontend-technical-spec -a codex`. Or copy the skill folder (.claude/skills-ja/frontend-technical-spec in shinpr/ai-coding-project-boilerplate) into .agents/skills/frontend-technical-spec 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 shinpr/ai-coding-project-boilerplate --skill frontend-technical-spec -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/frontend-technical-spec, .gemini/skills/frontend-technical-spec, .github/skills/frontend-technical-spec and .opencode/skills/frontend-technical-spec in your project.
Going by SKILL.md and its folder, Frontend Technical Spec needs credentials named VITE_API_KEY. Our summary lists: A credential in VITE_API_KEY.
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 notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Frontend Technical Spec is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.6k 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 Frontend Technical Spec: Web Artifacts Builder (anthropics/skills, 180k stars), React Doctor (makeplane/plane, 61k stars), React Router Development (remix-run/react-router, 57k stars) and React UI State 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.
shinpr (a GitHub user) maintains it in shinpr/ai-coding-project-boilerplate, which has 233 GitHub stars. The repository holds 41 skills in this directory. The repository was last updated on October 4, 2026.
Source: shinpr/ai-coding-project-boilerplate on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.