SkillAgentSearch skills...

apollo-core-workflow-a

'Implement Apollo.io lead search and enrichment workflow.

Install / Use

npx skills add jeremylongshore/tons-of-skills-marketplace --skill apollo-core-workflow-a

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

86/100

Category

Automation

Supported Platforms

Claude Code

Our assessment of apollo-core-workflow-a

apollo-core-workflow-a scores 86/100 on our quality scale, 1470th of 2,746 Automation skills we index.

Its SKILL.md is 8.0 KB long, well organised into 15 sections with 6 code examples: a thorough specification that gives an agent plenty to work with.

With 2,785 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
20/20
Description
8/15
Adoption
15/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 7 days ago, so apollo-core-workflow-a is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

apollo-core-workflow-a compared with similar skills

All 4 of these similar skills score higher than apollo-core-workflow-a; compare them before choosing.

SkillScoreStarsUpdatedFormat
apollo-core-workflow-a (this skill)by jeremylongshore862.8k7d agoSKILL.md
Agent-Reachby Panniantong10086.9k15d agoCLAUDE.md
rufloby ruvnet10073.6ktodayCLAUDE.md
Scraplingby D4Vinci10084.9ktodayMCP Server
algorithmic-artby anthropics100177.9k8d agoSKILL.md

Frequently asked questions

How do I install apollo-core-workflow-a?
Run npx skills add jeremylongshore/tons-of-skills-marketplace --skill apollo-core-workflow-a. The install tabs above show the steps for each supported agent.
Which AI agents does apollo-core-workflow-a work with?
It is written for Claude Code, as a SKILL.md file. Other agents that read the same format can often use it too.
Is apollo-core-workflow-a safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is apollo-core-workflow-a still maintained?
The repository was last updated 7 days ago, so apollo-core-workflow-a is actively maintained.

name: apollo-core-workflow-a description: 'Implement Apollo.io lead search and enrichment workflow.

Use when building lead generation features, searching for contacts,

or enriching prospect data from Apollo.

Trigger with phrases like "apollo lead search", "search apollo contacts",

"find leads in apollo", "apollo people search", "enrich contacts apollo".

' allowed-tools: Read, Write, Edit, Bash(npm:), Bash(pip:), Grep version: 1.13.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:

  • saas
  • apollo
  • workflow compatibility: Designed for Claude Code

Apollo Core Workflow A: Lead Search & Enrichment

Overview

Build the core Apollo.io prospecting pipeline: search for people and organizations, then enrich the best leads. Key distinction — search is free (no credits), enrichment costs credits. This skill uses the correct endpoints and x-api-key header authentication.

Prerequisites

  • Completed apollo-install-auth setup
  • Valid Apollo API key with search + enrichment permissions
  • Understanding of your Ideal Customer Profile (ICP)

Instructions

Step 1: Search for People (Free — No Credits)

The People API Search endpoint (POST /mixed_people/api_search) searches Apollo's 275M+ database. It does not return emails or phone numbers — use enrichment for that.

// src/workflows/lead-search.ts
import axios from 'axios';

const client = axios.create({
  baseURL: 'https://api.apollo.io/api/v1',
  headers: { 'Content-Type': 'application/json', 'x-api-key': process.env.APOLLO_API_KEY! },
});

interface PersonSearchParams {
  domains: string[];
  titles?: string[];
  seniorities?: string[];    // "c_suite", "vp", "director", "manager", "senior"
  locations?: string[];       // "United States", "San Francisco, California"
  page?: number;
  perPage?: number;
}

export async function searchPeople(params: PersonSearchParams) {
  const { data } = await client.post('/mixed_people/api_search', {
    q_organization_domains_list: params.domains,
    person_titles: params.titles,
    person_seniorities: params.seniorities,
    person_locations: params.locations,
    include_similar_titles: true,
    page: params.page ?? 1,
    per_page: params.perPage ?? 25,
  });

  return {
    people: data.people,
    total: data.pagination.total_entries,
    totalPages: data.pagination.total_pages,
    page: data.pagination.page,
  };
}

Step 2: Search for Organizations (Free)

// src/workflows/org-search.ts
interface OrgSearchParams {
  keywords?: string;
  locations?: string[];
  employeeRanges?: string[];  // ["1,10", "11,50", "51,200", "201,500"]
  industries?: string[];
  revenueRanges?: string[];   // ["0,1000000", "1000000,10000000"]
}

export async function searchOrganizations(params: OrgSearchParams) {
  const { data } = await client.post('/mixed_companies/search', {
    q_organization_keyword_tags: params.keywords ? [params.keywords] : undefined,
    organization_locations: params.locations,
    organization_num_employees_ranges: params.employeeRanges,
    organization_industry_tag_ids: params.industries,
    organization_revenue_ranges: params.revenueRanges,
    page: 1,
    per_page: 25,
  });

  return data.organizations.map((org: any) => ({
    id: org.id,
    name: org.name,
    domain: org.primary_domain,
    industry: org.industry,
    employees: org.estimated_num_employees,
    revenue: org.annual_revenue_printed,
    city: org.city,
    state: org.state,
  }));
}

Step 3: Enrich a Single Person (1 Credit)

// src/workflows/enrich.ts
export async function enrichPerson(params: {
  email?: string;
  linkedinUrl?: string;
  firstName?: string;
  lastName?: string;
  domain?: string;
}) {
  const { data } = await client.post('/people/match', {
    email: params.email,
    linkedin_url: params.linkedinUrl,
    first_name: params.firstName,
    last_name: params.lastName,
    organization_domain: params.domain,
    reveal_personal_emails: false,
    reveal_phone_number: true,
  });

  if (!data.person) return null;
  const p = data.person;

  return {
    id: p.id,
    name: p.name,
    title: p.title,
    email: p.email,
    phone: p.phone_numbers?.[0]?.sanitized_number,
    company: p.organization?.name,
    companyDomain: p.organization?.primary_domain,
    linkedinUrl: p.linkedin_url,
    seniority: p.seniority,
    city: p.city,
    state: p.state,
  };
}

Step 4: Bulk Enrich People (Up to 10 per Call)

export async function bulkEnrichPeople(details: Array<{
  email?: string;
  linkedin_url?: string;
  first_name?: string;
  last_name?: string;
  organization_domain?: string;
}>) {
  const { data } = await client.post('/people/bulk_match', {
    details,
    reveal_personal_emails: false,
    reveal_phone_number: false,
  });

  return (data.matches ?? []).map((match: any) => ({
    id: match.id,
    name: match.name,
    email: match.email,
    title: match.title,
    company: match.organization?.name,
  }));
}

Step 5: Build a Combined Lead Pipeline

export async function buildLeadPipeline(targetDomains: string[]) {
  const leads: any[] = [];

  for (const domain of targetDomains) {
    // Step A: Search for decision-makers (free)
    const { people } = await searchPeople({
      domains: [domain],
      seniorities: ['vp', 'director', 'c_suite'],
    });

    // Step B: Score leads before enriching (save credits)
    const worthEnriching = people.filter((p: any) => scoreLead(p) >= 50);

    // Step C: Bulk enrich top leads (costs credits)
    if (worthEnriching.length > 0) {
      const enriched = await bulkEnrichPeople(
        worthEnriching.map((p: any) => ({
          first_name: p.first_name,
          last_name: p.last_name,
          organization_domain: domain,
        })),
      );
      leads.push(...enriched);
    }
  }

  return leads.sort((a, b) => scoreLead(b) - scoreLead(a));
}

function scoreLead(person: any): number {
  let score = 0;
  if (person.email) score += 30;
  if (person.phone_numbers?.length) score += 20;
  if (['c_suite', 'vp', 'founder', 'owner'].includes(person.seniority)) score += 30;
  else if (['director'].includes(person.seniority)) score += 20;
  if (person.linkedin_url) score += 10;
  if (person.city) score += 10;
  return score;
}

Output

  • People search via POST /mixed_people/api_search (free, no credits)
  • Organization search via POST /mixed_companies/search (free)
  • Single person enrichment via POST /people/match (1 credit)
  • Bulk enrichment via POST /people/bulk_match (up to 10 per call)
  • Lead scoring to minimize credit spend before enriching

Error Handling

| Error | Cause | Solution | |-------|-------|----------| | Empty people array | Too narrow criteria | Broaden seniority levels, add include_similar_titles: true | | null from enrichment | Person not in Apollo database | Try enriching via LinkedIn URL instead of name+domain | | 429 Rate Limited | Too many requests/minute | Batch requests with 500ms delays between calls | | 403 Forbidden | Standard key used for enrichment | Upgrade to master API key in Apollo dashboard |

Examples

Quick ICP Search

// Find Series B SaaS companies with 50-500 employees
const companies = await searchOrganizations({
  keywords: 'SaaS',
  employeeRanges: ['51,200', '201,500'],
  locations: ['United States'],
});

// Find VPs of Sales at those companies
for (const company of companies.slice(0, 10)) {
  const { people, total } = await searchPeople({
    domains: [company.domain],
    titles: ['VP Sales', 'Head of Sales', 'VP Revenue'],
  });
  console.log(`${company.name} (${company.domain}): ${total} contacts`);
}

Resources

Next Steps

Proceed to apollo-core-workflow-b for email sequences and outreach.

Related Skills

View on GitHub
GitHub Stars2.8k
CategoryAutomation
Updated7d ago
Forks404

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions