JU

juicebox-deploy-integration

Provides containerization and health check configurations for production Juicebox integration services.

Install

mkdir -p .claude/skills/juicebox-deploy-integration && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/4696" && unzip -o skill.zip -d .claude/skills/juicebox-deploy-integration && rm skill.zip

Installs to .claude/skills/juicebox-deploy-integration

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.

Deploy Juicebox integrations.
29 charsno explicit “when” trigger
Intermediate

Key capabilities

  • Build production Docker images
  • Configure environment variables for API access
  • Manage rolling updates
  • Verify API connectivity in production

How it works

The skill provides a Dockerfile and deployment steps to containerize the Juicebox integration service. It includes a health check endpoint that verifies connectivity to the Juicebox API.

Inputs & outputs

You give it
Source code and API credentials
You get back
Containerized production service

When to use juicebox-deploy-integration

  • Deploy Juicebox integration services
  • Configure production environments
  • Set up health check monitoring

About this skill

Juicebox Deploy Integration

Overview

Deploy a containerized Juicebox AI analysis integration service with Docker. This skill covers building a production image that connects to the Juicebox API for managing datasets, running AI-powered analyses, and retrieving structured insights. Includes environment configuration for dataset access and analysis pipelines, health checks that verify API connectivity and dataset availability, and rolling update strategies for zero-downtime deployments serving real-time analysis results.

Docker Configuration

FROM node:20-slim AS builder
WORKDIR /app
COPY package*.json ./
RUN npm ci
COPY tsconfig.json ./
COPY src/ ./src/
RUN npm run build

FROM node:20-slim
RUN addgroup --system app && adduser --system --ingroup app app
WORKDIR /app
COPY --from=builder /app/dist ./dist
COPY --from=builder /app/node_modules ./node_modules
COPY package*.json ./
USER app
EXPOSE 3000
HEALTHCHECK --interval=30s --timeout=5s --retries=3 \
  CMD curl -f http://localhost:3000/health || exit 1
CMD ["node", "dist/index.js"]

Environment Variables

export JUICEBOX_API_KEY="jb_live_xxxxxxxxxxxx"
export JUICEBOX_BASE_URL="https://api.juicebox.ai/v1"
export JUICEBOX_WORKSPACE_ID="ws_xxxxxxxxxxxx"
export LOG_LEVEL="info"
export PORT="3000"
export NODE_ENV="production"

Health Check Endpoint

import express from 'express';

const app = express();

app.get('/health', async (req, res) => {
  try {
    const response = await fetch(`${process.env.JUICEBOX_BASE_URL}/datasets`, {
      headers: { 'Authorization': `Bearer ${process.env.JUICEBOX_API_KEY}` },
    });
    if (!response.ok) throw new Error(`Juicebox API returned ${response.status}`);
    res.json({ status: 'healthy', service: 'juicebox-integration', timestamp: new Date().toISOString() });
  } catch (error) {
    res.status(503).json({ status: 'unhealthy', error: (error as Error).message });
  }
});

Deployment Steps

Step 1: Build

docker build -t juicebox-integration:latest .

Step 2: Run

docker run -d --name juicebox-integration \
  -p 3000:3000 \
  -e JUICEBOX_API_KEY -e JUICEBOX_BASE_URL -e JUICEBOX_WORKSPACE_ID \
  juicebox-integration:latest

Step 3: Verify

curl -s http://localhost:3000/health | jq .

Step 4: Rolling Update

docker build -t juicebox-integration:v2 . && \
docker stop juicebox-integration && \
docker rm juicebox-integration && \
docker run -d --name juicebox-integration -p 3000:3000 \
  -e JUICEBOX_API_KEY -e JUICEBOX_BASE_URL -e JUICEBOX_WORKSPACE_ID \
  juicebox-integration:v2

Error Handling

IssueCauseFix
401 UnauthorizedInvalid or expired API keyRegenerate key in Juicebox workspace settings
403 ForbiddenWorkspace access deniedVerify JUICEBOX_WORKSPACE_ID matches your API key
404 Not FoundDataset or analysis ID not foundCheck IDs from Juicebox dashboard
429 Rate LimitedExceeding API rate limitsImplement exponential backoff; batch analysis requests
Analysis timeoutLarge dataset processingIncrease timeout or use async analysis endpoint with polling

Resources

  • Juicebox API Docs

Next Steps

See juicebox-webhooks-events.

When not to use it

  • When workspace IDs do not match API keys
  • When real-time analysis is not required

Prerequisites

Docker runtimeJuicebox API key

Limitations

  • 403 Forbidden if workspace access is denied
  • 429 Rate Limited if exceeding API limits
  • Analysis timeout on large dataset processing

How it compares

It provides a specific Docker configuration and health check pattern for Juicebox AI services instead of generic container deployment.

Compared to similar skills

juicebox-deploy-integration side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
juicebox-deploy-integration (this skill)127dCautionIntermediate
gcp-cloud-run55moReviewIntermediate
deployment-engineer44moNo flagsAdvanced
devops26moReviewIntermediate

Try saying

Example prompts that trigger this skill in your AI assistant.

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