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apollo-outreach

Research and enrich B2B leads using the Apollo.io API. Use when the user says "find leads", "prospect research", "company enrichment", "find decision makers", "B2B leads", "lead research", "enrich contacts", "find VP of marketing at", or asks about finding people at specific comp

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Prix non confirmé★ 677 Stars GitHubRegistre mis à jour · 5 sept. 2026agent-skill

Vue d’ensemble

Research and enrich B2B leads using the Apollo.io API. Use when the user says "find leads", "prospect research", "company enrichment", "find decision makers", "B2B leads", "lead research", "enrich contacts", "find VP of marketing at", or asks about finding people at specific companies or in specific roles.

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Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.

Apollo.io B2B Lead Research Skill

You are a B2B sales intelligence expert. Use the Apollo.io API to find prospects, enrich company data, and build targeted lead lists for outreach campaigns.

Prerequisites

This skill requires APOLLO_API_KEY. Check for it in environment variables or ~/.claude/.env.global. If not found, inform the user:

This skill requires an Apollo.io API key. Set it via:
  export APOLLO_API_KEY=your_key_here
Or add it to ~/.claude/.env.global

Get your API key at: https://app.apollo.io/#/settings/integrations/api

API Reference

Base URL: https://api.apollo.io Auth: X-Api-Key header or api_key query parameter. Rate limit: ~600 requests/hour (varies by plan).

Find prospects by role, company, location, and more:

curl -s -X POST "https://api.apollo.io/api/v1/mixed_people/search" \
  -H "Content-Type: application/json" \
  -H "X-Api-Key: ${APOLLO_API_KEY}" \
  -d '{
    "q_keywords": "vp marketing",
    "person_titles": ["VP Marketing", "Head of Marketing", "CMO"],
    "organization_num_employees_ranges": ["51,200"],
    "person_locations": ["United States"],
    "page": 1,
    "per_page": 10
  }'

Useful filters:

  • q_keywords - Keyword search across name, title, company
  • person_titles - Array of job titles
  • person_locations - Array of locations
  • organization_industry_tag_ids - Industry filter
  • organization_num_employees_ranges - Employee count (e.g., "1,10", "11,50", "51,200", "201,1000", "1001,5000")
  • q_organization_domains - Search within specific company domains
Organization Enrichment

Get detailed company info from a domain:

curl -s -X POST "https://api.apollo.io/api/v1/organizations/enrich" \
  -H "Content-Type: application/json" \
  -H "X-Api-Key: ${APOLLO_API_KEY}" \
  -d '{"domain": "example.com"}'

Returns: company name, industry, employee count, revenue, tech stack, social links, description, founded year, and more.

Bulk Organization Lookup
curl -s -X POST "https://api.apollo.io/api/v1/organizations/bulk_enrich" \
  -H "Content-Type: application/json" \
  -H "X-Api-Key: ${APOLLO_API_KEY}" \
  -d '{"domains": ["example.com", "company2.com", "company3.com"]}'
People Enrichment

Enrich a contact by email:

curl -s -X POST "https://api.apollo.io/api/v1/people/match" \
  -H "Content-Type: application/json" \
  -H "X-Api-Key: ${APOLLO_API_KEY}" \
  -d '{
    "email": "john@example.com",
    "reveal_personal_emails": false,
    "reveal_phone_number": false
  }'

Lead Research Process

Step 1: Define ICP (Ideal Customer Profile)

Ask or infer:

  • Target titles: What roles are you selling to?
  • Company size: Employee count range
  • Industry: Specific verticals
  • Geography: Target regions/countries
  • Tech stack: Specific technologies they use
  • Revenue range: Company revenue target
Step 2: Build Search Query

Translate ICP into Apollo search filters. Run multiple searches with variations:

  • Different title variations (VP Marketing = VP of Marketing = Vice President, Marketing)
  • Adjacent roles (CMO, Director of Marketing, Head of Growth)
  • Company size tiers separately
Step 3: Enrich Results

For each prospect found:

  1. Note their current title, company, and location
  2. Enrich their company domain for additional context
  3. Look for mutual connections or shared background
Step 4: Qualify & Prioritize

Score leads on:

FactorWeightCriteria
Title match30%Exact title vs. adjacent role
Company size25%Sweet spot for your product
Industry fit20%Core vs. adjacent industry
Recency15%How recently they started the role
Signals10%Hiring, funding, tech stack changes
Step 5: Output Lead List

Format results as:

# Lead Research Report: {ICP Description}
**Date:** {date}
**Prospects Found:** {count}
**Companies Represented:** {count}

## Top Prospects

| # | Name | Title | Company | Employees | Industry | Score |
|---|------|-------|---------|-----------|----------|-------|
| 1 | {name} | {title} | {company} | {size} | {industry} | {score}/100 |

## Company Insights

### {Company Name}
- **Domain:** {domain}
- **Industry:** {industry}
- **Employees:** {count}
- **Revenue:** {range}
- **Tech Stack:** {technologies}
- **Key Contacts Found:** {count}

## Outreach Recommendations

### Personalization Angles
1. {Specific angle based on company data}
2. {Specific angle based on role/industry}

### Suggested Sequence
- Email 1: {angle}
- Email 2: {follow-up angle}
- LinkedIn: {connection request approach}

Important Notes

  • Apollo rate limits are strict (~600/hour). Batch requests and cache results.
  • Some endpoints require a paid plan. Handle 403 responses gracefully.
  • Never store or expose personal email addresses or phone numbers in outputs unless explicitly requested.
  • Respect opt-out lists and GDPR/CAN-SPAM compliance.
  • Use enrichment data for personalization, not for unsolicited spam.
Voir la source ↗
Métadonnées du fichier
name: apollo-outreach
description: Research and enrich B2B leads using the Apollo.io API. Use when the user says "find leads", "prospect research", "company enrichment", "find decision makers", "B2B leads", "lead research", "enrich contacts", "find VP of marketing at", or asks about finding people at specific companies or in specific roles.
Voir le texte original
---
name: apollo-outreach
description: Research and enrich B2B leads using the Apollo.io API. Use when the user says "find leads", "prospect research", "company enrichment", "find decision makers", "B2B leads", "lead research", "enrich contacts", "find VP of marketing at", or asks about finding people at specific companies or in specific roles.
---

# Apollo.io B2B Lead Research Skill

You are a B2B sales intelligence expert. Use the Apollo.io API to find prospects, enrich company data, and build targeted lead lists for outreach campaigns.

## Prerequisites

This skill requires `APOLLO_API_KEY`. Check for it in environment variables or `~/.claude/.env.global`. If not found, inform the user:

```
This skill requires an Apollo.io API key. Set it via:
  export APOLLO_API_KEY=your_key_here
Or add it to ~/.claude/.env.global

Get your API key at: https://app.apollo.io/#/settings/integrations/api
```

## API Reference

Base URL: `https://api.apollo.io`
Auth: `X-Api-Key` header or `api_key` query parameter.
Rate limit: ~600 requests/hour (varies by plan).

### People Search

Find prospects by role, company, location, and more:

```bash
curl -s -X POST "https://api.apollo.io/api/v1/mixed_people/search" \
  -H "Content-Type: application/json" \
  -H "X-Api-Key: ${APOLLO_API_KEY}" \
  -d '{
    "q_keywords": "vp marketing",
    "person_titles": ["VP Marketing", "Head of Marketing", "CMO"],
    "organization_num_employees_ranges": ["51,200"],
    "person_locations": ["United States"],
    "page": 1,
    "per_page": 10
  }'
```

**Useful filters:**
- `q_keywords` - Keyword search across name, title, company
- `person_titles` - Array of job titles
- `person_locations` - Array of locations
- `organization_industry_tag_ids` - Industry filter
- `organization_num_employees_ranges` - Employee count (e.g., "1,10", "11,50", "51,200", "201,1000", "1001,5000")
- `q_organization_domains` - Search within specific company domains

### Organization Enrichment

Get detailed company info from a domain:

```bash
curl -s -X POST "https://api.apollo.io/api/v1/organizations/enrich" \
  -H "Content-Type: application/json" \
  -H "X-Api-Key: ${APOLLO_API_KEY}" \
  -d '{"domain": "example.com"}'
```

Returns: company name, industry, employee count, revenue, tech stack, social links, description, founded year, and more.

### Bulk Organization Lookup

```bash
curl -s -X POST "https://api.apollo.io/api/v1/organizations/bulk_enrich" \
  -H "Content-Type: application/json" \
  -H "X-Api-Key: ${APOLLO_API_KEY}" \
  -d '{"domains": ["example.com", "company2.com", "company3.com"]}'
```

### People Enrichment

Enrich a contact by email:

```bash
curl -s -X POST "https://api.apollo.io/api/v1/people/match" \
  -H "Content-Type: application/json" \
  -H "X-Api-Key: ${APOLLO_API_KEY}" \
  -d '{
    "email": "john@example.com",
    "reveal_personal_emails": false,
    "reveal_phone_number": false
  }'
```

## Lead Research Process

### Step 1: Define ICP (Ideal Customer Profile)

Ask or infer:
- **Target titles:** What roles are you selling to?
- **Company size:** Employee count range
- **Industry:** Specific verticals
- **Geography:** Target regions/countries
- **Tech stack:** Specific technologies they use
- **Revenue range:** Company revenue target

### Step 2: Build Search Query

Translate ICP into Apollo search filters. Run multiple searches with variations:
- Different title variations (VP Marketing = VP of Marketing = Vice President, Marketing)
- Adjacent roles (CMO, Director of Marketing, Head of Growth)
- Company size tiers separately

### Step 3: Enrich Results

For each prospect found:
1. Note their current title, company, and location
2. Enrich their company domain for additional context
3. Look for mutual connections or shared background

### Step 4: Qualify & Prioritize

Score leads on:

| Factor | Weight | Criteria |
|--------|--------|----------|
| Title match | 30% | Exact title vs. adjacent role |
| Company size | 25% | Sweet spot for your product |
| Industry fit | 20% | Core vs. adjacent industry |
| Recency | 15% | How recently they started the role |
| Signals | 10% | Hiring, funding, tech stack changes |

### Step 5: Output Lead List

Format results as:

```markdown
# Lead Research Report: {ICP Description}
**Date:** {date}
**Prospects Found:** {count}
**Companies Represented:** {count}

## Top Prospects

| # | Name | Title | Company | Employees | Industry | Score |
|---|------|-------|---------|-----------|----------|-------|
| 1 | {name} | {title} | {company} | {size} | {industry} | {score}/100 |

## Company Insights

### {Company Name}
- **Domain:** {domain}
- **Industry:** {industry}
- **Employees:** {count}
- **Revenue:** {range}
- **Tech Stack:** {technologies}
- **Key Contacts Found:** {count}

## Outreach Recommendations

### Personalization Angles
1. {Specific angle based on company data}
2. {Specific angle based on role/industry}

### Suggested Sequence
- Email 1: {angle}
- Email 2: {follow-up angle}
- LinkedIn: {connection request approach}
```

## Important Notes

- Apollo rate limits are strict (~600/hour). Batch requests and cache results.
- Some endpoints require a paid plan. Handle 403 responses gracefully.
- Never store or expose personal email addresses or phone numbers in outputs unless explicitly requested.
- Respect opt-out lists and GDPR/CAN-SPAM compliance.
- Use enrichment data for personalization, not for unsolicited spam.

Examiner la source

Prix et coûts d’utilisation

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Licence
MIT
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Source du skill enregistrée

Un chemin vers les instructions est enregistré. Cela ne constitue pas un test, une garantie de sécurité ou de compatibilité.

Réviser avant installation: Éviter l’installation automatique

Licence: MIT

  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • The skill relies on external API responses, but does not include explicit instructions for sanitizing or safely handling data returned by Apollo.io, which could contain untrusted content.
  • No error handling guidance is provided for API rate limits, failed requests, invalid API keys, or malformed responses.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
Ouvrir l’audit complet

Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

  1. 1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
  2. 2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
  3. 3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

Répertorié

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source
OpenClaudia/openclaudia-skills
Licence
MIT
Version
1.0.0
Dernier push GitHub
25 août 2026
Registre mis à jour
5 sept. 2026
Chemin des instructions
skills/apollo-outreach/SKILL.md @ 221b37d7ab95

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

72/100

Solide

Confiance

60/100

Sandbox uniquement

Audit

75/100

Revue nécessaire

Ouvrir l’audit completVoir le rapport d’évaluation
  • Dependency or permission surface needs review
  • Permission surface may require sandboxing
  • The skill relies on external API responses, but does not include explicit instructions for sanitizing or safely handling data returned by Apollo.io, which could contain untrusted content.
  • No error handling guidance is provided for API rate limits, failed requests, invalid API keys, or malformed responses.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
Verified installs
—
Résultats
—

Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.

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L’API Registry fournit les signaux de décision, confiance, audit, cas d’usage et installation sans analyser l’interface.

Ouvrir l’API d’installationFormat texte LLMOuvrir ManifestPlan de résolution auto
Plus de détails
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      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "The skill relies on external API responses, but does not include explicit instructions for sanitizing or safely handling data returned by Apollo.io, which could contain untrusted content.",
      "No error handling guidance is provided for API rate limits, failed requests, invalid API keys, or malformed responses.",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "Dependency/runtime risk: command execution surface, credential or environment access",
      "Permission surface: secrets or environment access, shell or command execution"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 72,
    "label": "Strong"
  },
  "supply": {
    "track": "Marketing and growth automation",
    "scenario": "Sales and CRM",
    "maintenance": "2mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [
    {
      "slug": "yanliudesign-mono-color-skill",
      "name": "mono-color",
      "url": "https://www.openagentskill.com/skills/yanliudesign-mono-color-skill",
      "stars": 1919,
      "install_command": "npx skills add yanliudesign/mono-color-skill --skill mono-color",
      "trust_score": 83,
      "audit_score": 90
    }
  ],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "The skill relies on external API responses, but does not include explicit instructions for sanitizing or safely handling data returned by Apollo.io, which could contain untrusted content.",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing",
    "No error handling guidance is provided for API rate limits, failed requests, invalid API keys, or malformed responses.",
    "Quality score needs review"
  ],
  "agent_contract": {
    "task_input": "Use apollo-outreach in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 68/100 Manual review",
      "Audit: 75/100 Needs review",
      "Safety: 31/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "openclaudia-apollo-outreach (apollo-outreach)",
      "install_command": "npx skills add OpenClaudia/openclaudia-skills --skill apollo-outreach",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "openclaudia-apollo-outreach",
      "task": "Use apollo-outreach in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/openclaudia-apollo-outreach",
    "api": "https://www.openagentskill.com/api/agent/skills/openclaudia-apollo-outreach",
    "audit": "https://www.openagentskill.com/skills/openclaudia-apollo-outreach/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=openclaudia-apollo-outreach&task=Use%20apollo-outreach%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20apollo-outreach%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20apollo-outreach%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/openclaudia-apollo-outreach/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/openclaudia-apollo-outreach"
  }
}

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OpenClaudia
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Index communautaire OpenAgentSkill

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