Agent skill
juicebox-core-workflow-a
Execute Juicebox people search workflow. Use when building candidate sourcing pipelines, searching for professionals, or implementing talent discovery features. Trigger with phrases like "juicebox people search", "find candidates juicebox", "juicebox talent search", "search professionals juicebox".
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/juicebox-core-workflow-a
SKILL.md
Juicebox People Search Workflow
Overview
Implement a complete people search workflow using Juicebox AI for candidate sourcing and talent discovery.
Prerequisites
- Juicebox SDK configured
- Understanding of search query syntax
- Knowledge of result filtering
Instructions
Step 1: Define Search Parameters
// types/search.ts
export interface CandidateSearch {
role: string;
skills: string[];
location?: string;
experienceYears?: { min?: number; max?: number };
companies?: string[];
education?: string[];
}
export function buildSearchQuery(params: CandidateSearch): string {
const parts = [params.role];
if (params.skills.length > 0) {
parts.push(`skills:(${params.skills.join(' OR ')})`);
}
if (params.location) {
parts.push(`location:"${params.location}"`);
}
return parts.join(' AND ');
}
Step 2: Implement Search Pipeline
// workflows/candidate-search.ts
import { JuiceboxService } from '../lib/juicebox-client';
export class CandidateSearchPipeline {
constructor(private juicebox: JuiceboxService) {}
async searchCandidates(criteria: CandidateSearch) {
const query = buildSearchQuery(criteria);
// Initial broad search
const results = await this.juicebox.searchPeople(query, {
limit: 100,
fields: ['name', 'title', 'company', 'location', 'skills', 'experience']
});
// Score and rank candidates
const scored = results.profiles.map(profile => ({
...profile,
score: this.calculateFitScore(profile, criteria)
}));
// Sort by fit score
return scored.sort((a, b) => b.score - a.score);
}
private calculateFitScore(profile: Profile, criteria: CandidateSearch): number {
let score = 0;
// Skills match
const matchedSkills = profile.skills.filter(s =>
criteria.skills.includes(s.toLowerCase())
);
score += matchedSkills.length * 10;
// Experience match
if (criteria.experienceYears) {
const years = profile.experienceYears || 0;
if (years >= (criteria.experienceYears.min || 0)) {
score += 20;
}
}
return score;
}
}
Step 3: Handle Pagination
async function* searchAllCandidates(
juicebox: JuiceboxService,
query: string
): AsyncGenerator<Profile> {
let cursor: string | undefined;
do {
const results = await juicebox.searchPeople(query, {
limit: 50,
cursor
});
for (const profile of results.profiles) {
yield profile;
}
cursor = results.nextCursor;
} while (cursor);
}
Output
- Search query builder
- Candidate scoring system
- Paginated result handling
- Ranked candidate list
Error Handling
| Error | Cause | Solution |
|---|---|---|
| No Results | Query too restrictive | Broaden criteria |
| Slow Response | Large dataset | Use pagination |
| Score Issues | Missing data | Handle null values |
Examples
Full Pipeline Usage
const pipeline = new CandidateSearchPipeline(juiceboxService);
const candidates = await pipeline.searchCandidates({
role: 'Senior Software Engineer',
skills: ['typescript', 'react', 'node.js'],
location: 'San Francisco Bay Area',
experienceYears: { min: 5 }
});
console.log(`Found ${candidates.length} matching candidates`);
candidates.slice(0, 10).forEach(c => {
console.log(`${c.name} (Score: ${c.score}) - ${c.title} at ${c.company}`);
});
Resources
Next Steps
After implementing search, explore juicebox-core-workflow-b for candidate enrichment.
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