Claude-code-plugins-plus juicebox-deploy-integration
install
source · Clone the upstream repo
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/jeremylongshore/claude-code-plugins-plus-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/saas-packs/juicebox-pack/skills/juicebox-deploy-integration" ~/.claude/skills/jeremylongshore-claude-code-plugins-plus-juicebox-deploy-integration && rm -rf "$T"
manifest:
plugins/saas-packs/juicebox-pack/skills/juicebox-deploy-integration/SKILL.mdsource content
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
| Issue | Cause | Fix |
|---|---|---|
| Invalid or expired API key | Regenerate key in Juicebox workspace settings |
| Workspace access denied | Verify matches your API key |
| Dataset or analysis ID not found | Check IDs from Juicebox dashboard |
| Exceeding API rate limits | Implement exponential backoff; batch analysis requests |
| Analysis timeout | Large dataset processing | Increase timeout or use async analysis endpoint with polling |
Resources
Next Steps
See
juicebox-webhooks-events.