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Juicebox Hello World

Create a minimal Juicebox people search example.

Installable skillMITBy jeremylongshoreUpdated Oct 31, 2026
INTENDED FORClaude CodeInstall in a listed agent.

instructions.md

---
name: juicebox-hello-world-df2f6e6401b4
description: 'Create a minimal Juicebox people search example.

  Trigger: "juicebox hello world", "first people search", "test juicebox".

  '
allowed-tools: Read, Write, Edit, Bash(npm:*), Grep
version: 1.16.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- recruiting
- juicebox
compatibility: Designed for Claude Code
---
# Juicebox Hello World

## Overview

Three examples: natural language people search, profile enrichment, and contact data from 800M+ profiles.

## Instructions

### Example 1: Natural Language Search

```typescript
import { JuiceboxClient } from '@juicebox/sdk';
const client = new JuiceboxClient({ apiKey: process.env.JUICEBOX_API_KEY });

const results = await client.search({
  query: 'senior ML engineer at FAANG with PhD in Bay Area',
  limit: 10,
  filters: { experience_years: { min: 5 } }
});
results.profiles.forEach(p =>
  console.log(`${p.name} | ${p.title} at ${p.company} | ${p.location}`)
);
```

### Example 2: Profile Enrichment

```typescript
const enriched = await client.enrich({
  linkedin_url: 'https://linkedin.com/in/example',
  fields: ['skills', 'experience', 'education', 'contact']
});
console.log(`Skills: ${enriched.skills.join(', ')}`);
if (enriched.tech_profile?.github) {
  console.log(`GitHub: ${enriched.tech_profile.github.repos} repos`);
}
```

### Example 3: Contact Data (Python)

```python
results = client.search(query='PM fintech NYC', limit=5, include_contact=True)
for p in results.profiles:
    email = p.contact.email if p.contact else 'N/A'
    print(f"{p.name} | {p.title} | {email}")
```

## Error Handling

| Error | Cause | Solution |
|-------|-------|----------|
| Empty results | Query too narrow | Broaden terms or remove filters |
| Partial contact | Limited coverage | Not all profiles have contact data |

## Prerequisites

- A sandbox workspace, synthetic prospects, documented source authority, approved destination, suppression policy, and deletion path for test artifacts.

## Output

Return an onboarding receipt with workspace, source-authority result, input/accepted/quarantined counts, suppression result, destination, export-count assertion, retention date, and cleanup state. Do not include names, contact details, enrichment values, or credentials.

## Examples

Run a synthetic prospect fixture and record `workspace=hello-sandbox; source=approved; accepted=2; quarantined=0; suppression=pass; contacts_exported=0; cleanup=complete`.

## Resources

- [Search API](https://docs.juicebox.work/api/search)
- [PeopleGPT](https://juicebox.ai/peoplegpt)

## Next Steps

Explore `juicebox-sdk-patterns` for production code.

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Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.