Why Use This This skill provides specialized capabilities for jeremylongshore's codebase.
Use Cases Developing new features in the jeremylongshore repository Refactoring existing code to follow jeremylongshore standards Understanding and working with jeremylongshore's codebase structure
Install Guide 2 steps 1 2 Install inside Ananke
Click Install Skill, paste the link below, then press Install.
https://github.com/jeremylongshore/claude-code-plugins-plus-skills/tree/main/plugins/saas-packs/juicebox-pack/skills/juicebox-reference-architecture Skill Snapshot Auto scan of skill assets. Informational only.
Valid SKILL.md Checks against SKILL.md specification
Source & Community
Updated At Jan 9, 2026, 12:57 AM
Skill Stats
SKILL.md 267 Lines
Total Files 1
Total Size 9.4 KB
License MIT
---
name: juicebox-reference-architecture
description: |
Implement Juicebox reference architecture.
Use when designing system architecture, planning integrations,
or implementing enterprise-grade Juicebox solutions.
Trigger with phrases like "juicebox architecture", "juicebox design",
"juicebox system design", "juicebox enterprise".
allowed-tools: Read, Write, Edit, Bash(gh:*), Bash(curl:*)
version: 1.0.0
license: MIT
author: Jeremy Longshore <[email protected] >
---
# Juicebox Reference Architecture
## Overview
Enterprise-grade reference architecture for Juicebox-powered recruiting and people search applications.
## Architecture Patterns
### Pattern 1: Simple Integration
```
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Client │────▶│ Backend │────▶│ Juicebox │
│ (React) │ │ (Node) │ │ API │
└─────────────┘ └─────────────┘ └─────────────┘
```
**Best for:** Small applications, MVPs, single-tenant systems
### Pattern 2: Cached Architecture
```
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ Client │────▶│ Backend │────▶│ Redis │
│ (React) │ │ (Node) │ │ Cache │
└─────────────┘ └─────────────┘ └──────┬──────┘
│
┌───────▼───────┐
│ Juicebox │
│ API │
└───────────────┘
```
**Best for:** Medium applications, cost optimization
### Pattern 3: Enterprise Architecture
```
┌─────────────────────────────────────────┐
│ Load Balancer │
└────────────────────┬────────────────────┘
│
┌────────────────────────────┼────────────────────────────┐
│ │ │
┌───────▼───────┐ ┌────────▼────────┐ ┌────────▼────────┐
│ API Server │ │ API Server │ │ API Server │
│ (Node.js) │ │ (Node.js) │ │ (Node.js) │
└───────┬───────┘ └────────┬────────┘ └────────┬────────┘
│ │ │
└────────────────────────────┼────────────────────────────┘
│
┌────────────────────┼────────────────────┐
│ │ │
┌───────▼───────┐ ┌────────▼────────┐ ┌────────▼────────┐
│ Redis │ │ PostgreSQL │ │ Message │
│ (Cache) │ │ (Profiles) │ │ Queue │
└───────────────┘ └─────────────────┘ └────────┬────────┘
│
┌────────▼────────┐
│ Worker Pool │
│ (Enrichment) │
└────────┬────────┘
│
┌────────▼────────┐
│ Juicebox API │
└─────────────────┘
```
**Best for:** Large-scale applications, multi-tenant, high availability
## Implementation
### Core Components
#### 1. API Gateway
```typescript
// gateway/index.ts
import express from 'express';
import { createRateLimiter } from './middleware/rate-limiter';
import { authenticate } from './middleware/auth';
import { validateRequest } from './middleware/validation';
const app = express();
app.use('/api/v1/search', [
authenticate,
createRateLimiter({ windowMs: 60000, max: 100 }),
validateRequest(searchSchema),
searchController
]);
app.use('/api/v1/profiles', [
authenticate,
createRateLimiter({ windowMs: 60000, max: 200 }),
validateRequest(profileSchema),
profileController
]);
```
#### 2. Service Layer
```typescript
// services/people-search.service.ts
export class PeopleSearchService {
constructor(
private juicebox: JuiceboxClient,
private cache: CacheService,
private db: DatabaseService,
private queue: QueueService
) {}
async search(query: string, options: SearchOptions): Promise<SearchResult> {
// Check cache first
const cacheKey = this.getCacheKey(query, options);
const cached = await this.cache.get(cacheKey);
if (cached) return cached;
// Perform search
const results = await this.juicebox.search.people({
query,
...options
});
// Cache results
await this.cache.set(cacheKey, results, 300);
// Queue enrichment for top results
if (options.autoEnrich) {
await this.queue.add('enrich-profiles', {
profileIds: results.profiles.slice(0, 10).map(p => p.id)
});
}
return results;
}
async getProfile(id: string): Promise<Profile> {
// Check local DB first
const local = await this.db.profiles.findUnique({ where: { id } });
if (local && !this.isStale(local)) {
return local;
}
// Fetch from Juicebox
const profile = await this.juicebox.profiles.get(id);
// Store locally
await this.db.profiles.upsert({
where: { id },
create: profile,
update: profile
});
return profile;
}
}
```
#### 3. Worker Pool
```typescript
// workers/enrichment.worker.ts
import { Worker } from 'bullmq';
const worker = new Worker('enrich-profiles', async (job) => {
const { profileIds } = job.data;
const enriched = await juiceboxService.enrichProfiles(profileIds);
// Store enriched data
for (const profile of enriched) {
await db.profiles.upsert({
where: { id: profile.id },
create: { ...profile, enrichedAt: new Date() },
update: { ...profile, enrichedAt: new Date() }
});
}
return { enrichedCount: enriched.length };
}, { connection: redis });
```
#### 4. Database Schema
```sql
-- PostgreSQL schema
CREATE TABLE profiles (
id VARCHAR(255) PRIMARY KEY,
name VARCHAR(500),
title VARCHAR(500),
company VARCHAR(500),
location VARCHAR(500),
email VARCHAR(255),
phone VARCHAR(50),
linkedin_url VARCHAR(500),
skills JSONB,
experience JSONB,
education JSONB,
raw_data JSONB,
created_at TIMESTAMP DEFAULT NOW(),
updated_at TIMESTAMP DEFAULT NOW(),
enriched_at TIMESTAMP
);
CREATE INDEX idx_profiles_company ON profiles(company);
CREATE INDEX idx_profiles_location ON profiles(location);
CREATE INDEX idx_profiles_skills ON profiles USING GIN(skills);
```
## Deployment Topology
```yaml
# kubernetes/deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: juicebox-api
spec:
replicas: 3
template:
spec:
containers:
- name: api
resources:
requests:
memory: "256Mi"
cpu: "250m"
limits:
memory: "512Mi"
cpu: "500m"
---
apiVersion: apps/v1
kind: Deployment
metadata:
name: juicebox-workers
spec:
replicas: 2
template:
spec:
containers:
- name: worker
resources:
requests:
memory: "512Mi"
cpu: "500m"
```
## Output
- Architecture diagrams
- Core service implementations
- Database schema
- Kubernetes manifests
## Resources
- [Architecture Guide](https://juicebox.ai/docs/architecture)
- [Enterprise Patterns](https://juicebox.ai/docs/enterprise)
## Next Steps
After architecture setup, see `juicebox-multi-env-setup` for environment configuration.