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-core-workflow-b
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Source & Community
Updated At Mar 11, 2026, 05:33 AM
Skill Stats
SKILL.md 213 Lines
Total Files 1
Total Size 6.6 KB
License MIT
---
name: juicebox-core-workflow-b
description: |
Implement Juicebox candidate enrichment workflow.
Use when enriching profile data, gathering additional candidate details,
or building comprehensive candidate profiles.
Trigger with phrases like "juicebox enrich profile", "juicebox candidate details",
"enrich candidate data", "juicebox profile enrichment".
allowed-tools: Read, Write, Edit, Bash(npm:*), Bash(pip:*), Grep
version: 1.0.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
compatible-with: claude-code, codex, openclaw
---
# Juicebox Core Workflow B: Candidate Enrichment
## Overview
Build comprehensive candidate profiles using Juicebox people search and enrichment. Covers profile data extraction, multi-source enrichment, experience timeline construction, and CRM-ready candidate record generation.
## Prerequisites
- Juicebox API key
- Understanding of people search parameters
- CRM or ATS for candidate export
- Data validation rules for enriched profiles
## Instructions
### Step 1: Search and Retrieve Candidate Profiles
```typescript
const JUICEBOX_API = 'https://api.juicebox.ai/v1';
async function searchCandidates(query: {
title?: string;
company?: string;
location?: string;
skills?: string[];
yearsExperience?: number;
}) {
const response = await fetch(`${JUICEBOX_API}/people/search`, {
method: 'POST',
headers: {
'Authorization': `Bearer ${process.env.JUICEBOX_API_KEY}`,
'Content-Type': 'application/json',
},
body: JSON.stringify({
query: query.title,
filters: {
current_company: query.company,
location: query.location,
skills: query.skills,
min_years_experience: query.yearsExperience,
},
limit: 25,
}),
});
return response.json();
}
```
### Step 2: Enrich Profile with Full Details
```typescript
interface EnrichedProfile {
name: string;
headline: string;
location: string;
email?: string;
linkedin_url?: string;
current_company: string;
current_title: string;
experience: Array<{
company: string;
title: string;
startDate: string;
endDate?: string;
duration: string;
}>;
skills: string[];
education: Array<{ school: string; degree: string; year?: number }>;
}
async function enrichProfile(profileId: string): Promise<EnrichedProfile> {
const response = await fetch(`${JUICEBOX_API}/people/${profileId}/enrich`, {
headers: {
'Authorization': `Bearer ${process.env.JUICEBOX_API_KEY}`,
},
});
const data = await response.json();
return {
name: data.full_name,
headline: data.headline || '',
location: data.location || '',
email: data.email,
linkedin_url: data.linkedin_url,
current_company: data.current_company?.name || '',
current_title: data.current_title || '',
experience: (data.experience || []).map((exp: any) => ({
company: exp.company_name,
title: exp.title,
startDate: exp.start_date,
endDate: exp.end_date,
duration: calculateDuration(exp.start_date, exp.end_date),
})),
skills: data.skills || [],
education: data.education || [],
};
}
function calculateDuration(start: string, end?: string): string {
const startDate = new Date(start);
const endDate = end ? new Date(end) : new Date();
const months = Math.round((endDate.getTime() - startDate.getTime()) / (30 * 86400000)); # 86400000 = configured value
const years = Math.floor(months / 12);
const remainingMonths = months % 12;
return years > 0 ? `${years}y ${remainingMonths}m` : `${remainingMonths}m`;
}
```
### Step 3: Batch Enrichment Pipeline
```typescript
async function batchEnrich(profileIds: string[], concurrency = 3) {
const results: EnrichedProfile[] = [];
const errors: Array<{ id: string; error: string }> = [];
for (let i = 0; i < profileIds.length; i += concurrency) {
const batch = profileIds.slice(i, i + concurrency);
const batchResults = await Promise.allSettled(
batch.map(id => enrichProfile(id))
);
for (let j = 0; j < batchResults.length; j++) {
const result = batchResults[j];
if (result.status === 'fulfilled') {
results.push(result.value);
} else {
errors.push({ id: batch[j], error: result.reason?.message || 'Unknown' });
}
}
// Rate limiting
if (i + concurrency < profileIds.length) {
await new Promise(r => setTimeout(r, 1000)); # 1000: 1 second in ms
}
}
return { enriched: results, errors };
}
```
### Step 4: Generate CRM-Ready Candidate Records
```typescript
function toCRMRecord(profile: EnrichedProfile) {
return {
first_name: profile.name.split(' ')[0],
last_name: profile.name.split(' ').slice(1).join(' '),
email: profile.email,
title: profile.current_title,
company: profile.current_company,
location: profile.location,
linkedin: profile.linkedin_url,
source: 'juicebox',
total_experience_years: calculateTotalExperience(profile.experience),
top_skills: profile.skills.slice(0, 10).join(', '),
notes: `${profile.headline}\n\nExperience: ${profile.experience.length} roles`,
};
}
function calculateTotalExperience(experience: any[]): number {
const totalMonths = experience.reduce((sum, exp) => {
const start = new Date(exp.startDate);
const end = exp.endDate ? new Date(exp.endDate) : new Date();
return sum + Math.round((end.getTime() - start.getTime()) / (30 * 86400000)); # 86400000 = configured value
}, 0);
return Math.round(totalMonths / 12);
}
```
## Error Handling
| Issue | Cause | Solution |
|-------|-------|----------|
| No email found | Profile has no public email | Try alternative enrichment sources |
| Profile not found | Invalid profile ID | Validate IDs from search results |
| Rate limit | Too many concurrent requests | Reduce concurrency, add delays |
| Incomplete experience | Partial profile data | Mark as incomplete, flag for manual review |
## Examples
### Full Candidate Pipeline
```typescript
const candidates = await searchCandidates({
title: 'Senior Software Engineer',
skills: ['TypeScript', 'React'],
location: 'San Francisco',
});
const ids = candidates.results.map((c: any) => c.id);
const { enriched, errors } = await batchEnrich(ids);
const crmRecords = enriched.map(toCRMRecord);
console.log(`Enriched ${enriched.length} candidates, ${errors.length} errors`);
```
## Resources
- [Juicebox API Documentation](https://docs.juicebox.ai)
- [Juicebox People Search](https://docs.juicebox.ai/people-search)
## Output
- Configuration files or code changes applied to the project
- Validation report confirming correct implementation
- Summary of changes made and their rationale