juicebox-deploy-integration
Deploy Juicebox integrations. Trigger: "deploy juicebox", "juicebox production deploy".
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
```dockerfile
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
```bash
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
```typescript
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
```bash
docker build -t juicebox-integration:latest .
```
### Step 2: Run
```bash
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
```bash
curl -s http://localhost:3000/health | jq .
```
### Step 4: Rolling Update
```bash
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 |
|-------|-------|-----|
| `401 Unauthorized` | Invalid or expired API key | Regenerate key in Juicebox workspace settings |
| `403 Forbidden` | Workspace access denied | Verify `JUICEBOX_WORKSPACE_ID` 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 |
## Resources
- Juicebox API Docs
## Next Steps
See `juicebox-webhooks-events`.
Related in Cloud & DevOps
appbuilder-action-scaffolder
IncludedCreate, implement, deploy, and debug Adobe Runtime actions with consistent layout, validation, and error handling. Use this skill whenever the user needs to add actions to an App Builder project, understand action structure (params, response format, web/raw actions), configure actions in the manifest, use App Builder SDKs (State, Files, Events, database), deploy and invoke actions via CLI, debug action issues, or implement patterns such as webhook receivers, custom event providers, journaling consumers, large payload redirects, action sequence pipelines, and Asset Compute workers. Also trigger when users mention serverless functions in Adobe context, action logging, IMS authentication for actions, or cron-style scheduled actions.
orchestrating-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. Use this skill when the user needs a multi-step Data Cloud pipeline, cross-phase troubleshooting, or data space and data kit management. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase sf data360 workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching phase-specific skill), the task is STDM/session tracing/parquet telemetry (use observing-agentforce), standard CRM SOQL (use querying-soql), or Apex implementation (use generating-apex).
github-project-automation
IncludedAutomate GitHub repository setup with CI/CD workflows, issue templates, Dependabot, and CodeQL security scanning. Includes 12 production-tested workflows and prevents 18 errors: YAML syntax, action pinning, and configuration. Use when: setting up GitHub Actions CI/CD, creating issue/PR templates, enabling Dependabot or CodeQL scanning, deploying to Cloudflare Workers, implementing matrix testing, or troubleshooting YAML indentation, action version pinning, secrets syntax, runner versions, or CodeQL configuration. Keywords: github actions, github workflow, ci/cd, issue templates, pull request templates, dependabot, codeql, security scanning, yaml syntax, github automation, repository setup, workflow templates, github actions matrix, secrets management, branch protection, codeowners, github projects, continuous integration, continuous deployment, workflow syntax error, action version pinning, runner version, github context, yaml indentation error
sf-datacloud
IncludedSalesforce Data Cloud product orchestrator for connect→prepare→harmonize→segment→act workflows. TRIGGER when: user needs a multi-step Data Cloud pipeline, asks to set up or troubleshoot Data Cloud across phases, manages data spaces or data kits, or wants a cross-phase `sf data360` workflow. DO NOT TRIGGER when: work is isolated to a single phase (use the matching sf-datacloud-* skill), the task is STDM/session tracing/parquet telemetry (use sf-ai-agentforce-observability), standard CRM SOQL (use sf-soql), or Apex implementation (use sf-apex).
fabric-cli
IncludedUse this skill for Fabric.so CLI workflows with the `fabric` terminal command: diagnose/install/login, search or browse a Fabric library, save notes/links/files, create folders, ask the Fabric AI assistant, manage tasks/workspaces, generate shell completion, check subscription usage, produce JSON output, and use Fabric as persistent agent memory. Do not use for Microsoft Fabric/Azure/Power BI `fab`, Daniel Miessler's Fabric framework, Python Fabric SSH, Fabric.js, or textile/fashion fabric.
lark
IncludedLark/Feishu CLI skills: lark-cli operations for docs, markdown, sheets, base, calendar, im, mail, task, okr, drive, wiki, slides, whiteboard, apps, approval, attendance, contact, vc, minutes, event. Use when the user needs to operate Lark/Feishu resources via lark-cli, send messages, manage documents, spreadsheets, calendars, tasks, OKRs, deploy web pages, or any Feishu/Lark workspace operations.