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".

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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

typescript
// 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

typescript
// 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

typescript
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

typescript
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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