Agent skill · software engineering · jeremylongshore
juicebox-deploy-integration
Deploy Juicebox integrations.
Why this skill is useful
Adds a complete Docker deployment script and health check integration for Juicebox that isn't available in public documentation.
What it needs
Requires docker installed locally. Requires juicebox account access. About 2k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.
What this skill does
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 Environment Variables Health Check Endpoint Deployment Steps Step 1: Build Step 2: Run Step 3: Verify Step 4: Rolling Update Error Handling Issue Cause Fix ------- ------- ----- 401 Unauthorized Invalid or expired API key Regenerate key in Juicebox workspace settings 403 Forbidden Workspace access denied Verify JUICEBOXWORKSPACEID matches your API key 404 Not Found Dataset or analysis ID not found Check IDs from Juicebox dashboard 429 Rate Limited Exceeding API rate limits Implement exponential backoff; batch analysis requests Analysis timeout Large dataset processing Increase timeout or use async analysis endpoint with polling Prerequisites An approved deployment change, secret references, sandbox workspace, source/destination allowlist, synthetic fixture, and tested rollback artifact. Instructions 1. Build and test the pinned artifact with synthetic fixtures; reject literal credentials and unapproved sources or destinations. 2. Deploy to staging and verify health, source authority, suppression, data minimization, and contactsexported=0 before production approval. 3. Release to one sandbox canary, monitor aggregate errors/quota/policy probes, and halt on any scope or retention drift. 4. Promote in stages only after owner approval; restore the prior revision and delete staged artifacts on failure. 5. Retain only the redacted receipt and revoke temporary deployment access. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jeremylongshore/juicebox-deploy-integration