juicebox-hello-world
Provides code snippets to quickly test Juicebox people search and profile enrichment functionality.
Install
mkdir -p .claude/skills/juicebox-hello-world && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/5497" && unzip -o skill.zip -d .claude/skills/juicebox-hello-world && rm skill.zipInstalls to .claude/skills/juicebox-hello-world
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Create a minimal Juicebox people search example.Key capabilities
- →Search for people using natural language queries
- →Filter search results by experience years
- →Enrich profiles with skills, experience, education, and contact information
- →Retrieve contact data for search results
- →Process multiple profile enrichments in a single call
How it works
The skill uses the Juicebox SDK to send natural language queries or profile identifiers to the Juicebox API. The API then returns structured data, enriched details, or contact information based on the request.
Inputs & outputs
When to use juicebox-hello-world
- →Testing the Juicebox API connection
- →Performing a basic natural language candidate search
- →Retrieving enriched profile data from a LinkedIn URL
About this skill
Juicebox Hello World
Overview
Three examples: natural language people search, profile enrichment, and contact data from 800M+ profiles.
Instructions
Example 1: Natural Language Search
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
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)
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 |
Resources
Next Steps
Explore juicebox-sdk-patterns for production code.
When not to use it
- →When a query is too narrow and returns empty results
- →When not all profiles are expected to have contact data
Prerequisites
Limitations
- →Querying with overly specific terms may yield no results
- →Contact data availability varies per profile
How it compares
This workflow directly integrates the Juicebox SDK for people search and profile enrichment, unlike manual data gathering.
Compared to similar skills
juicebox-hello-world side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| juicebox-hello-world (this skill) | 1 | 27d | Review | Beginner |
| mcp-builder | 136 | 3mo | Review | Advanced |
| copilot-sdk | 7 | 4mo | Review | Intermediate |
| openrouter-function-calling | 5 | 27d | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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