clui-cc-claude-overlay
A macOS overlay tool to manage Claude Code via a graphical interface with multi-tab support.
Install
mkdir -p .claude/skills/clui-cc-claude-overlay && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/16200" && unzip -o skill.zip -d .claude/skills/clui-cc-claude-overlay && rm skill.zipInstalls to .claude/skills/clui-cc-claude-overlay
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Command Line User Interface for Claude Code — a floating macOS desktop overlay with multi-tab sessions, permission approval UI, voice input, and skills marketplace.Key capabilities
- →Wrap Claude Code CLI in a floating macOS overlay
- →Manage multi-tab sessions for Claude Code
- →Provide a permission approval UI for tool calls
- →Integrate voice input via Whisper
- →Display conversation history and access a skills marketplace
How it works
Clui CC spawns `claude -p` as a subprocess for each tab, parses NDJSON streams, and manages tab lifecycles, while handling tool permission requests via HTTP hooks.
Inputs & outputs
When to use clui-cc-claude-overlay
- →Configure Claude Code desktop UI
- →Enable voice input for coding tasks
- →Manage multi-tab CLI sessions
- →Add permission approval visual interface
About this skill
Clui CC — Claude Code Desktop Overlay
Skill by ara.so — Daily 2026 Skills collection.
Clui CC wraps the Claude Code CLI in a transparent, floating macOS overlay with multi-tab sessions, a permission approval UI (PreToolUse HTTP hooks), voice input via Whisper, conversation history, and a skills marketplace. It requires an authenticated claude CLI and runs entirely local — no telemetry or cloud dependency.
Prerequisites
| Requirement | Minimum | Notes |
|---|---|---|
| macOS | 13+ | Overlay is macOS-only |
| Node.js | 18+ | LTS 20 or 22 recommended |
| Python | 3.10+ | Needs setuptools on 3.12+ |
| Claude Code CLI | any | Must be authenticated |
| Whisper CLI | any | For voice input |
# 1. Xcode CLI tools (native module compilation)
xcode-select --install
# 2. Node.js via Homebrew
brew install node
node --version # confirm ≥18
# 3. Python setuptools (required on Python 3.12+)
python3 -m pip install --upgrade pip setuptools
# 4. Claude Code CLI
npm install -g @anthropic-ai/claude-code
# 5. Authenticate Claude Code
claude
# 6. Whisper for voice input
brew install whisper-cli
Installation
Recommended: App installer (non-developer)
git clone https://github.com/lcoutodemos/clui-cc.git
# Then open the clui-cc folder in Finder and double-click install-app.command
On first launch macOS may block the unsigned app — go to System Settings → Privacy & Security → Open Anyway.
Developer workflow
git clone https://github.com/lcoutodemos/clui-cc.git
cd clui-cc
npm install
npm run dev # Hot-reloads renderer; restart for main-process changes
Command scripts
./commands/setup.command # Environment check + install deps
./commands/start.command # Build and launch from source
./commands/stop.command # Stop all Clui CC processes
npm run build # Production build (no packaging)
npm run dist # Package as macOS .app → release/
npm run doctor # Environment diagnostic
Key Shortcuts
| Shortcut | Action |
|---|---|
⌥ + Space | Show / hide the overlay |
Cmd + Shift + K | Fallback toggle (if ⌥+Space is claimed) |
Architecture
UI prompt → Main process spawns claude -p → NDJSON stream → live render
→ tool call? → permission UI → approve/deny
Process flow
- Each tab spawns
claude -p --output-format stream-jsonas a subprocess. RunManagerparses NDJSON;EventNormalizernormalizes events.ControlPlanemanages tab lifecycle:connecting → idle → running → completed/failed/dead.- Tool permission requests arrive via HTTP hooks to
PermissionServer(localhost only). - Renderer polls backend health every 1.5 s and reconciles tab state.
- Sessions resume with
--resume <session-id>.
Project structure
src/
├── main/
│ ├── claude/ # ControlPlane, RunManager, EventNormalizer
│ ├── hooks/ # PermissionServer (PreToolUse HTTP hooks)
│ ├── marketplace/ # Plugin catalog fetch + install
│ ├── skills/ # Skill auto-installer
│ └── index.ts # Window creation, IPC handlers, tray
├── renderer/
│ ├── components/ # TabStrip, ConversationView, InputBar, …
│ ├── stores/ # Zustand session store
│ ├── hooks/ # Event listeners, health reconciliation
│ └── theme.ts # Dual palette + CSS custom properties
├── preload/ # Secure IPC bridge (window.clui API)
└── shared/ # Canonical types, IPC channel definitions
IPC API (window.clui)
The preload bridge exposes window.clui in the renderer. Key methods:
// Send a prompt to the active tab's claude process
window.clui.sendPrompt(tabId: string, text: string): Promise<void>
// Approve or deny a pending tool-use permission
window.clui.resolvePermission(requestId: string, approved: boolean): Promise<void>
// Create a new tab (spawns a new claude -p process)
window.clui.createTab(): Promise<{ tabId: string }>
// Resume a past session by id
window.clui.resumeSession(tabId: string, sessionId: string): Promise<void>
// Subscribe to normalized events from a tab
window.clui.onTabEvent(tabId: string, callback: (event: NormalizedEvent) => void): () => void
// Get conversation history list
window.clui.getHistory(): Promise<SessionMeta[]>
Working with Tabs and Sessions
Creating a tab and sending a prompt (renderer)
import { useEffect, useState } from 'react'
export function useClaudeTab() {
const [tabId, setTabId] = useState<string | null>(null)
const [messages, setMessages] = useState<NormalizedEvent[]>([])
useEffect(() => {
window.clui.createTab().then(({ tabId }) => {
setTabId(tabId)
const unsubscribe = window.clui.onTabEvent(tabId, (event) => {
setMessages((prev) => [...prev, event])
})
return unsubscribe
})
}, [])
const send = (text: string) => {
if (!tabId) return
window.clui.sendPrompt(tabId, text)
}
return { messages, send }
}
Resuming a past session
async function resumeLastSession() {
const history = await window.clui.getHistory()
if (history.length === 0) return
const { tabId } = await window.clui.createTab()
const lastSession = history[0] // most recent first
await window.clui.resumeSession(tabId, lastSession.sessionId)
}
Permission Approval UI
Tool calls are intercepted by PermissionServer via PreToolUse HTTP hooks before execution. The renderer receives a permission_request event and must resolve it.
// Renderer: listen for permission requests
window.clui.onTabEvent(tabId, async (event) => {
if (event.type !== 'permission_request') return
const { requestId, toolName, toolInput } = event
// Show your approval UI, then:
const approved = await showApprovalDialog({ toolName, toolInput })
await window.clui.resolvePermission(requestId, approved)
})
// Main process: PermissionServer registers a hook with claude -p
// The hook endpoint receives POST requests from Claude Code like:
// { "tool": "bash", "input": { "command": "rm -rf dist/" }, "session_id": "..." }
// It holds the request until the renderer resolves it.
Voice Input
Voice input uses Whisper locally. It is installed automatically by install-app.command or via brew install whisper-cli. No API key is needed — transcription runs entirely on-device.
// Triggered from InputBar component via IPC
window.clui.startVoiceInput(): Promise<void>
window.clui.stopVoiceInput(): Promise<{ transcript: string }>
Skills Marketplace
Install skills (plugins) from Anthropic's GitHub repos without leaving the UI.
// Fetch available skills (cached 5 min, fetched from raw.githubusercontent.com)
const skills = await window.clui.marketplace.list()
// [{ id, name, description, repoUrl, version }, ...]
// Install a skill (downloads tarball from api.github.com)
await window.clui.marketplace.install(skillId: string)
// List installed skills
const installed = await window.clui.marketplace.listInstalled()
Network calls made by the marketplace:
| Endpoint | Purpose | Required |
|---|---|---|
raw.githubusercontent.com/anthropics/* | Skill catalog (5 min cache) | No — graceful fallback |
api.github.com/repos/anthropics/*/tarball/* | Skill tarball download | No — skipped on failure |
Theme Configuration
// src/renderer/theme.ts — dual palette with CSS custom properties
// Toggle via the UI or programmatically:
window.clui.setTheme('dark' | 'light' | 'system')
Custom CSS properties are applied to :root and can be overridden in renderer stylesheets:
:root {
--clui-bg: rgba(20, 20, 20, 0.85);
--clui-text: #f0f0f0;
--clui-accent: #7c5cfc;
--clui-pill-radius: 24px;
}
Adding a Custom Skill
Skills are auto-loaded from ~/.clui/skills/. A skill is a directory with a skill.js entry:
// ~/.clui/skills/my-skill/skill.js
module.exports = {
name: 'my-skill',
version: '1.0.0',
description: 'Does something useful',
// Called when the skill is activated by a matching prompt
async onPrompt(context) {
const { prompt, tabId, clui } = context
if (!prompt.includes('my trigger')) return false // pass through
await clui.sendMessage(tabId, `Handled by my-skill: ${prompt}`)
return true // consumed — don't forward to claude
},
}
Troubleshooting
Self-check
npm run doctor
Common issues
App blocked on first launch → System Settings → Privacy & Security → Open Anyway
node-pty fails to compile
xcode-select --install
python3 -m pip install --upgrade pip setuptools
npm install
claude not found
npm install -g @anthropic-ai/claude-code
claude # authenticate
which claude # confirm it's on PATH
Whisper not found
brew install whisper-cli
which whisper-cli
Port conflict on PermissionServer The HTTP hook server runs on localhost only. If another process occupies its port, restart with:
./commands/stop.command
./commands/start.command
setuptools missing (Python 3.12+)
python3 -m pip install --upgrade pip setuptools
Overlay not showing
- Try the fallback shortcut:
Cmd + Shift + K - Check that Clui CC has Accessibility permission: System Settings → Privacy & Security → Accessibility
Tested Versions
| Component | Version |
|---|---|
| macOS | 15.x Sequoia |
| Node.js | 20.x LTS, 22.x |
| Python | 3.12 (+ setuptools) |
| Electron | 33.x |
| Claude Code CLI | 2.1.71 |
References
When not to use it
- →When the task can be completed without a macOS overlay
- →When the user does not have an authenticated `claude` CLI
- →When the task does not require multi-tab sessions or voice input
Prerequisites
Limitations
- →The overlay is macOS-only.
- →Node.js 18+ is required, with LTS 20 or 22 recommended.
- →Python 3.10+ is required, needing `setuptools` on 3.12+.
How it compares
This skill provides a visual, interactive desktop overlay for Claude Code, enhancing the CLI experience with features like multi-tab sessions and voice input.
Compared to similar skills
clui-cc-claude-overlay side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| clui-cc-claude-overlay (this skill) | 0 | 5mo | Review | Intermediate |
| windsurf-mcp-integration | 1 | 2mo | Review | Advanced |
| resources | 1 | 2mo | Review | Intermediate |
| emailable-automation | 0 | 3mo | No flags | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
More by Aradotso
View all by Aradotso →You might also like
windsurf-mcp-integration
jeremylongshore
Manage integrate MCP servers with Windsurf for extended capabilities. Activate when users mention "mcp integration", "model context protocol", "external tools", "mcp server", or "cascade tools". Handles MCP server configuration and integration. Use when working with windsurf mcp integration functionality. Trigger with phrases like "windsurf mcp integration", "windsurf integration", "windsurf".
resources
windmill-labs
MUST use when managing resources.
emailable-automation
onfire7777
Automate Emailable tasks via Rube MCP (Composio). Always search tools first for current schemas.
onboard
jwadhwa2259
Configure CodeScope for this project. Detects project type, languages, and build commands, then walks through agent model selection and workflow preferences. Run this before /codescope:bootstrap.
mcp-builder
anthropics
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
telegram-bot-builder
davila7
Expert in building Telegram bots that solve real problems - from simple automation to complex AI-powered bots. Covers bot architecture, the Telegram Bot API, user experience, monetization strategies, and scaling bots to thousands of users. Use when: telegram bot, bot api, telegram automation, chat bot telegram, tg bot.