React Doctor
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.
Defines React environment, component architecture, state/data flow, build verification, and frontend non-functional criteria from repository evidence.
$ 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-en/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-en/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-en/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-en/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-en/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-en/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-en/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-en/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-en/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-en/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-en/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-en/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-en/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-en/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-specDefines React environment, component architecture, state/data flow, build verification, and frontend non-functional criteria from repository evidence.
Frontend Technical Spec is an agent skill from shinpr/ai-coding-project-boilerplate. Defines React environment, component architecture, state/data flow, build verification, and frontend non-functional criteria from repository evidence. Use when configuring or designing a React frontend, its build, or its runtime boundaries.
Its SKILL.md is about 1.9k 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 1.9k tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 751 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.
- Keep local `.env` files outside version control and provide non-secret example files for required variable namesAutomated 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). 751 words, ~1,895 tokens.
.claude/skills/frontend-technical-spec/SKILL.md (or your agent's skills folder).Inspect package.json, the lockfile, TypeScript/build configuration, CI definitions, and representative components before applying a tool- or framework-specific rule. Treat React, Vite, Next.js, a state library, form library, or script as available only when repository evidence names it. Label surrounding-pattern conclusions as inferred. When a missing decision changes rendering architecture, compatibility, security, or verification, stop and name the exact evidence or user decision required.
These rules apply when repository configuration confirms a TypeScript-based React application. Select architecture by mapping current requirements and constraints to component responsibilities, state ownership, server/client boundaries, and observable verification points.
// Build tool environment variables (public values only; client-exposed vars need the VITE_ prefix)
const config = {
apiUrl: import.meta.env.VITE_API_URL || 'http://localhost:3000',
appName: import.meta.env.VITE_APP_NAME || 'My App'
}
// Does not work in frontend
const apiUrl = process.env.API_URL.env files outside version control and provide non-secret example files for required variable namesCorrect Approach for Secrets:
// Security risk: API key exposed in browser
const apiKey = import.meta.env.VITE_API_KEY
const response = await fetch(`https://api.example.com/data?key=${apiKey}`)
// Correct: Backend manages secrets, frontend accesses via proxy
const response = await fetch('/api/data') // Backend handles API key authenticationReact Component Architecture:
Select a component/state pattern using these rules:
State Management Patterns:
useState for component-specific stateMaintain consistent data flow throughout the React application:
Single Source of Truth: Each piece of state has one authoritative source
Unidirectional Flow: Data flows top-down via props
API Response -> State -> Props -> Render -> UI
User Input -> Event Handler -> State Update -> Re-renderImmutable Updates: Use immutable patterns for state updates
// Immutable state update
setUsers(prev => [...prev, newUser])
// Invalid mutable state update
users.push(newUser)
setUsers(users)unknown) -> Type Guard -> State (Type Guaranteed)// Type-safe data flow
async function fetchUser(id: string): Promise<User> {
const response = await fetch(`/api/users/${id}`)
const data: unknown = await response.json()
if (!isUser(data)) {
throw new Error('Invalid user data')
}
return data // Type guaranteed as User
}Select the package manager from the packageManager field, lockfile, or CI command in that order. Execute only scripts present in the selected manifest.
test - Run testsQuality checks are mandatory upon implementation completion:
Phase 1-3: Basic Checks
check - Biome (lint + format)build - TypeScript buildTransition evidence: every configured lint/format/type/build check exits successfully. A missing required script is reported with the manifest/configuration path, and the remaining checks still run; whether the missing check leaves required proof unavailable is decided by the quality-fixer result.
Phase 4-5: Tests and Final Confirmation
test - Test executioncheck:all - Overall integrated checkCompletion evidence: configured tests pass, the production build succeeds, and the integrated check remains clean after test fixes. Record an environment-dependent test as blocked with its exact prerequisite.
© 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-en/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 | 232 | — | ~1.9k | Automated safety check: Notes | MIT | |
| 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 | |
| Vercel React Best Practicessanity-io/sanity | 6.4k | 130 repos | ~1.6k | Automated safety check: Pass | MIT | |
| Frontend Module Standardssiteboon/claudecodeui | 14k | — | ~2.6k | Automated safety check: Pass | AGPL-3.0 |
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.
sanity-io/sanity
React and Next.js performance optimization guidelines from Vercel Engineering.
siteboon/claudecodeui
Enforces one repository's React and TypeScript module layout for code under src/: source-root imports, feature barrels, deliberate exports and no deep imports.
langgenius/dify
Use when implementing or refactoring React/TypeScript components and the task requires decisions about component ownership, feature boundaries, state, data…
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
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.
shinpr/ai-coding-project-boilerplate
Applies type safety and error handling rules. An agent skill from shinpr/ai-coding-project-boilerplate.
Works with
Categories
Defines React environment, component architecture, state/data flow, build verification, and frontend non-functional criteria from repository evidence. Frontend Technical Spec is an agent skill from shinpr/ai-coding-project-boilerplate. Defines React environment, component architecture, state/data flow, build verification, and frontend non-functional criteria from repository evidence.
Frontend Technical Spec fits situations like: designing a React frontend; its runtime boundaries.
Run `npx skills add shinpr/ai-coding-project-boilerplate --skill frontend-technical-spec -a claude-code`. Or copy the skill folder (.claude/skills-en/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-en/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 1.9k tokens (SKILL.md is roughly 7.6k 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: React Doctor (makeplane/plane, 61k stars), React Router Development (remix-run/react-router, 57k stars), React UI State Patterns (ChrisWiles/claude-code-showcase, 6.1k stars) and Vercel React Best Practices (sanity-io/sanity, 6.4k 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 232 GitHub stars. The repository holds 42 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.