Agent skill
when-bridging-web-cli-use-web-cli-teleport
Bridge web interfaces with CLI workflows for seamless bidirectional integration
Install this agent skill to your Project
npx add-skill https://github.com/aiskillstore/marketplace/tree/main/skills/dnyoussef/when-bridging-web-cli-use-web-cli-teleport
SKILL.md
Web-CLI Teleport SOP
Overview
Bridge web interfaces with CLI workflows for seamless integration, enabling web applications to trigger CLI commands and CLI tools to display web interfaces.
Agents & Responsibilities
backend-dev
Role: Implement bridge API and integration logic Responsibilities:
- Build REST API for CLI integration
- Implement WebSocket for real-time communication
- Handle authentication and security
- Manage state synchronization
system-architect
Role: Design bridge architecture and patterns Responsibilities:
- Design integration architecture
- Define communication protocols
- Plan security model
- Ensure scalability
Phase 1: Design Bridge Architecture
Objective
Design architecture for bidirectional web-CLI communication.
Scripts
# Generate architecture diagram
npx claude-flow@alpha architect design \
--type "web-cli-bridge" \
--output bridge-architecture.json
# Define API specification
cat > api-spec.yaml <<EOF
openapi: 3.0.0
info:
title: Web-CLI Bridge API
version: 1.0.0
paths:
/cli/execute:
post:
summary: Execute CLI command from web
requestBody:
content:
application/json:
schema:
type: object
properties:
command: { type: string }
args: { type: array }
responses:
'200':
description: Command output
/web/render:
post:
summary: Render web UI from CLI
requestBody:
content:
application/json:
schema:
type: object
properties:
component: { type: string }
data: { type: object }
EOF
# Store architecture
npx claude-flow@alpha memory store \
--key "bridge/architecture" \
--file bridge-architecture.json
Architecture Patterns
Web → CLI:
Web UI → REST API → CLI Executor → Command → Output → API → Web UI
CLI → Web:
CLI Tool → WebSocket → Web Server → Browser → UI Render
Bidirectional:
Web UI ←→ WebSocket ←→ Bridge Server ←→ CLI Tools
Phase 2: Implement Web Interface
Objective
Build web interface that can trigger and monitor CLI commands.
Scripts
# Create web application
npx create-react-app web-cli-bridge
cd web-cli-bridge
# Install dependencies
npm install axios socket.io-client
# Generate web components
npx claude-flow@alpha generate component \
--name "CLIExecutor" \
--type "react" \
--output src/components/CLIExecutor.jsx
# Build web interface
npm run build
# Deploy web app
npx claude-flow@alpha deploy web \
--source ./build \
--target ./deploy/web
Web Component Example
// src/components/CLIExecutor.jsx
import React, { useState, useEffect } from 'react';
import axios from 'axios';
import io from 'socket.io-client';
function CLIExecutor() {
const [command, setCommand] = useState('');
const [output, setOutput] = useState('');
const [socket, setSocket] = useState(null);
useEffect(() => {
const newSocket = io('http://localhost:3001');
setSocket(newSocket);
newSocket.on('cli-output', (data) => {
setOutput(prev => prev + data + '\n');
});
return () => newSocket.close();
}, []);
const executeCommand = async () => {
try {
const response = await axios.post('/api/cli/execute', {
command,
args: command.split(' ').slice(1)
});
setOutput(response.data.output);
} catch (error) {
setOutput(`Error: ${error.message}`);
}
};
return (
<div className="cli-executor">
<input
type="text"
value={command}
onChange={(e) => setCommand(e.target.value)}
placeholder="Enter CLI command..."
/>
<button onClick={executeCommand}>Execute</button>
<pre className="output">{output}</pre>
</div>
);
}
export default CLIExecutor;
Phase 3: Implement CLI Bridge
Objective
Build CLI-side bridge that connects to web interface.
Scripts
# Create bridge server
mkdir cli-bridge
cd cli-bridge
npm init -y
npm install express socket.io cors child_process
# Generate bridge server
npx claude-flow@alpha generate server \
--type "bridge" \
--output server.js
# Start bridge server
node server.js &
# Test connection
curl -X POST http://localhost:3001/api/cli/execute \
-H "Content-Type: application/json" \
-d '{"command": "ls", "args": ["-la"]}'
Bridge Server Implementation
// server.js
const express = require('express');
const http = require('http');
const socketIo = require('socket.io');
const { exec } = require('child_process');
const cors = require('cors');
const app = express();
const server = http.createServer(app);
const io = socketIo(server, { cors: { origin: '*' } });
app.use(cors());
app.use(express.json());
// Execute CLI command from web
app.post('/api/cli/execute', (req, res) => {
const { command, args = [] } = req.body;
const fullCommand = `${command} ${args.join(' ')}`;
exec(fullCommand, (error, stdout, stderr) => {
if (error) {
return res.status(500).json({
error: error.message,
stderr
});
}
res.json({
output: stdout,
stderr
});
// Broadcast to all connected clients
io.emit('cli-output', stdout);
});
});
// Render web UI from CLI
app.post('/api/web/render', (req, res) => {
const { component, data } = req.body;
io.emit('render-component', {
component,
data
});
res.json({ success: true });
});
// WebSocket connection
io.on('connection', (socket) => {
console.log('Client connected');
socket.on('disconnect', () => {
console.log('Client disconnected');
});
});
server.listen(3001, () => {
console.log('Bridge server running on port 3001');
});
CLI Tool Integration
#!/bin/bash
# cli-tool-with-web.sh
# Function to render web UI from CLI
render_web_ui() {
local component=$1
local data=$2
curl -X POST http://localhost:3001/api/web/render \
-H "Content-Type: application/json" \
-d "{\"component\": \"$component\", \"data\": $data}"
}
# Example: Show analysis results in web UI
analyze_code() {
local path=$1
local results=$(npx claude-flow@alpha analyze "$path" --format json)
# Send results to web interface
render_web_ui "AnalysisResults" "$results"
echo "Results sent to web interface"
}
analyze_code ./src
Phase 4: Test Integration
Objective
Validate bidirectional communication and error handling.
Scripts
# Test web → CLI
curl -X POST http://localhost:3001/api/cli/execute \
-H "Content-Type: application/json" \
-d '{"command": "npx", "args": ["claude-flow@alpha", "swarm", "status"]}'
# Test CLI → web
bash cli-tool-with-web.sh
# Test WebSocket connection
node test-websocket.js
# Run integration tests
npm test -- --testPathPattern=integration
# Load testing
npx artillery quick --count 10 -n 20 http://localhost:3001/api/cli/execute
Integration Tests
// tests/integration.test.js
const request = require('supertest');
const io = require('socket.io-client');
const app = require('../server');
describe('Web-CLI Bridge Integration', () => {
let socket;
beforeAll((done) => {
socket = io('http://localhost:3001');
socket.on('connect', done);
});
afterAll(() => {
socket.close();
});
it('should execute CLI command from web', async () => {
const response = await request(app)
.post('/api/cli/execute')
.send({ command: 'echo', args: ['test'] });
expect(response.status).toBe(200);
expect(response.body.output).toContain('test');
});
it('should broadcast CLI output via WebSocket', (done) => {
socket.on('cli-output', (data) => {
expect(data).toBeDefined();
done();
});
request(app)
.post('/api/cli/execute')
.send({ command: 'echo', args: ['websocket test'] });
});
it('should render web UI from CLI', async () => {
const response = await request(app)
.post('/api/web/render')
.send({
component: 'TestComponent',
data: { test: true }
});
expect(response.status).toBe(200);
expect(response.body.success).toBe(true);
});
});
Phase 5: Deploy and Monitor
Objective
Deploy bridge to production and monitor performance.
Scripts
# Build for production
npm run build:web
npm run build:server
# Deploy with Docker
cat > Dockerfile <<EOF
FROM node:18-alpine
WORKDIR /app
COPY package*.json ./
RUN npm ci --production
COPY . .
EXPOSE 3001
CMD ["node", "server.js"]
EOF
docker build -t web-cli-bridge .
docker run -d -p 3001:3001 web-cli-bridge
# Monitor with Prometheus
cat > prometheus.yml <<EOF
scrape_configs:
- job_name: 'bridge'
static_configs:
- targets: ['localhost:3001']
EOF
# Setup logging
mkdir logs
node server.js > logs/bridge.log 2>&1 &
# Monitor logs
tail -f logs/bridge.log
# Health check
curl http://localhost:3001/health
Success Criteria
- Bridge architecture designed
- Web interface functional
- CLI bridge operational
- Integration tested
- Deployed and monitored
Performance Targets
- API response time: <200ms
- WebSocket latency: <50ms
- Command execution: <5s
- Uptime: >99.9%
Best Practices
- Security: Implement authentication and authorization
- Error Handling: Graceful error handling on both sides
- Logging: Comprehensive logging for debugging
- Rate Limiting: Prevent abuse
- Validation: Validate all inputs
- Monitoring: Track performance metrics
- Documentation: Document API and protocols
- Testing: Comprehensive integration tests
Common Issues & Solutions
Issue: Command Execution Timeout
Symptoms: Long-running commands hang Solution: Implement timeout mechanism, use async execution
Issue: WebSocket Disconnections
Symptoms: Frequent disconnections Solution: Implement reconnection logic, use heartbeat
Issue: Security Vulnerabilities
Symptoms: Unauthorized command execution Solution: Implement authentication, whitelist commands
Integration Points
- swarm-orchestration: Execute orchestration from web
- performance-analysis: Display metrics in web UI
- slash-commands: Expose commands via web
References
- WebSocket Protocol
- REST API Design
- CLI Integration Patterns
- Security Best Practices
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
perigon-backend
Perigon ASP.NET Core + EF Core + Aspire conventions
perigon-agent
Pointers for Copilot/agents to apply Perigon conventions
perigon-angular
Angular 21+ standalone/Material/signal conventions for Perigon WebApp
fastapi-mastery
Comprehensive FastAPI development skill covering REST API creation, routing, request/response handling, validation, authentication, database integration, middleware, and deployment. Use when working with FastAPI projects, building APIs, implementing CRUD operations, setting up authentication/authorization, integrating databases (SQL/NoSQL), adding middleware, handling WebSockets, or deploying FastAPI applications. Triggered by requests involving .py files with FastAPI code, API endpoint creation, Pydantic models, or FastAPI-specific features.
context7-efficient
Token-efficient library documentation fetcher using Context7 MCP with 86.8% token savings through intelligent shell pipeline filtering. Fetches code examples, API references, and best practices for JavaScript, Python, Go, Rust, and other libraries. Use when users ask about library documentation, need code examples, want API usage patterns, are learning a new framework, need syntax reference, or troubleshooting with library-specific information. Triggers include questions like "Show me React hooks", "How do I use Prisma", "What's the Next.js routing syntax", or any request for library/framework documentation.
browser-use
Browser automation using Playwright MCP. Navigate websites, fill forms, click elements, take screenshots, and extract data. Use when tasks require web browsing, form submission, web scraping, UI testing, or any browser interaction.
Didn't find tool you were looking for?