Skip to content

■ SKILLS // SKILL SPECS

data-enrichment-master

Lead enrichment, firmographics, technographics, and data quality

■ [!] ON THIS PAGE ▼
■ INSTALL // npx @self.md/cli install data-enrichment-master
AuthorGTM Agents
Namespace@gtmagents/gtm-agents
Category#data
Version1.0.0
Stars★ 64
Downloads↓ 4
Verification[ ✓ ] self.md verified

Lead enrichment, firmographics, technographics, and data quality

Installation

npx claude-plugins install @gtmagents/gtm-agents/data-enrichment-master

Contents

Folders: agents, commands, config, skills

Files: README.md

Documentation

Overview

Comprehensive data enrichment system supporting 150+ providers with 800+ enrichment capabilities for GTM teams. This master plugin orchestrates all data enrichment operations including company intelligence, contact discovery, technographics, intent signals, and validation services.

Core Capabilities

🏢 Company Enrichments

  • Basic Company Data: Name, domain, industry, size, location, founding date
  • Financial Intelligence: Funding rounds, revenue estimates, valuations, investors
  • Technology Stack: Software tools, platforms, integrations, security tools
  • Market Intelligence: News mentions, social presence, job openings, competitors

👤 People Enrichments

  • Contact Information: Work/personal emails, phone numbers, social profiles
  • Professional Details: Job titles, work history, skills, education, networks
  • Personal Information: Demographics, interests, social activity, preferences

🔄 Enrichment Methods

  1. Individual Actions: Single-provider enrichments for specific data points
  2. Waterfall Enrichments: Sequential provider searches until success
  3. AI-Powered Enrichments: Web research, content generation, classification
  4. Integration-Based: 100+ data provider integrations
  5. Custom Enrichments: HTTP APIs, webhooks, CSV imports, formulas

Supported Providers (150+)

Tier 1 Providers (Most Used)

  • Apollo.io: Email, phone, LinkedIn profiles (1-2 credits)
  • ZoomInfo: Comprehensive B2B intelligence (2-3 credits)
  • Clearbit: Company & person enrichment (1-2 credits)
  • Hunter: Email discovery & verification (1-2 credits)
  • People Data Labs: Person profiles & company data (1-2 credits)

Email & Contact Discovery (25 providers)

Apollo, Hunter, RocketReach, ContactOut, Findymail, BetterContact, Prospeo, Snov.io, Wiza, SignalHire, Swordfish, Reverse Contact, DropContact, Enrow, Icypeas, LeadMagic, FullEnrich, Enrichley, SureConnect, and more

Company Intelligence (20 providers)

Clearbit, ZoomInfo, Crunchbase, PitchBook, Owler, dealroom.co, Ocean.io, Firmable, Datagma, SMARTe, Store Leads, Versium, The Org, and more

Technology Intelligence (8 providers)

BuiltWith, HG Insights, Mixrank, Similarweb, Semrush, SerpStat, technographic detection tools

AI & Content Generation (15 providers)

OpenAI/GPT, Anthropic, Google Gemini, Cohere, Mistral, Perplexity, B2D AI, Harmonic.ai, custom AI tasks

Verification Services (8 providers)

ZeroBounce, NeverBounce, Debounce, ClearoutPhone, email/phone validation services

CRM & Sales Tools (25 providers)

Salesforce, HubSpot, Pipedrive, Close, Dynamics 365, Gong, Outreach, Salesloft, Reply.io, and more

Social Media & Content (15 providers)

LinkedIn, Instagram, X.com (Twitter), YouTube, Reddit, influencer platforms, content intelligence

Web Scraping & Data Extraction (10 providers)

Apify, PhantomBuster, ScrapeMagic, Bright Data, Zenrows, custom scrapers

Command Interface

# Basic enrichment
/data-enrichment:enrich --type company --domain "acme.com"
/data-enrichment:enrich --type person --email "[email protected]"

# Waterfall enrichment (tries multiple providers)
/data-enrichment:waterfall-email --name "John Smith" --company "Acme Corp"
/data-enrichment:waterfall-phone --email "[email protected]"

# Bulk enrichment
/data-enrichment:bulk-enrich --file "prospects.csv" --enrichments "email,phone,company"

# AI-powered research
/data-enrichment:ai-research --company "acme.com" --depth comprehensive

# Intent signals
/data-enrichment:intent-signals --domain "acme.com" --timeframe 30days

# Technographics
/data-enrichment:tech-stack --domain "acme.com"

# Validation
/data-enrichment:validate-emails --list "emails.csv"
/data-enrichment:validate-phones --list "phones.csv"

Enrichment Workflows

Standard Company Enrichment

Input: Company domain
Process:
  1. Basic company data (Clearbit)
  2. Financial intelligence (Crunchbase/PitchBook)
  3. Technology stack (BuiltWith)
  4. News & social (Google News, social platforms)
  5. Intent signals (B2D AI, intent providers)
Output: Complete company profile with 50+ data points

Contact Discovery Waterfall

Input: Name + Company
Process:
  1. Try Apollo.io
  2. If not found, try Hunter
  3. If not found, try RocketReach
  4. If not found, try People Data Labs
  5. Validate with ZeroBounce
Output: Verified email and phone with confidence score

Account Intelligence Package

Input: Target account list
Process:
  1. Company enrichment (all data points)
  2. Decision maker identification
  3. Technology stack analysis
  4. Intent signal monitoring
  5. Competitive intelligence
  6. Trigger event detection
Output: Complete account dossier for sales

Credit Optimization

Credit Usage by Category

  • Basic Lookups: 0.5-1 credit (validation, verification)
  • Standard Enrichments: 1-2 credits (email, phone, basic company)
  • Premium Intelligence: 2-3 cr

Included Skills

This plugin includes 2 skill definitions:

data-sourcing

Optimize provider selection, routing, and credit usage across 150+ enrichment sources for company/contact intelligence.

View skill definition

Data Sourcing & Provider Optimization Skill

When to Use

  • Selecting provider stacks for email, phone, company, or intent enrichment
  • Building or tuning waterfall sequences to improve success rates
  • Auditing credit consumption or provider performance
  • Designing enrichment logic for GTM ops, RevOps, or data engineering teams

Framework

You are an expert at selecting and optimizing data providers from 150+ available options to maximize data quality while minimizing credit costs. Use this layered framework to keep enrichment predictable and efficient.

Core Principles

  1. Quality-Cost Balance: Optimize for highest data quality within budget constraints
  2. Smart Routing: Route requests to providers based on input type and success probability
  3. Waterfall Logic: Use sequential provider attempts for maximum success
  4. Caching Strategy: Leverage cached data to reduce redundant API calls
  5. Bulk Optimization: Process similar requests together for volume discounts

Provider Selection Matrix

For Email Discovery

Best Input Scenarios:

  • Have LinkedIn URL: ContactOut → RocketReach → Apollo
  • Have Name + Company: Apollo → Hunter → RocketReach → FindyMail
  • Have Domain Only: Hunter → Apollo → Clearbit
  • Have Email (need validation): ZeroBounce → NeverBounce → Debounce

Quality Tiers:

  • Premium (90%+ success): ZoomInfo, BetterContact waterfall
  • Standard (75%+ success): Apollo, Hunter, RocketReach
  • Budget (6

firmographic-analysis

Use when interpreting company-level enrichment data to segment accounts, spot buying triggers, and tailor outreach.

View skill definition

Firmographic Analysis Skill

When to Use

  • Prioritizing enriched accounts for GTM plays.
  • Building segments for ABM, territory planning, or personalized campaigns.
  • Validating enriched firmographic data quality.

Framework

  1. Normalize Fields – ensure industry, size, revenue, region, and funding fields use consistent taxonomies.
  2. Scoring Matrix – apply ICP scoring (industry fit, employee band, revenue, growth rate).
  3. Trigger Detection – highlight events like funding, IPO prep, hiring spikes, geographic expansion.
  4. Segment Mapping – assign each company to journey stages or playbooks (e.g., “High-growth SaaS 200-500”).
  5. Recommendation Output – produce persona targets, value props, and urgency level per segment.

Templates

  • Segment summary table (columns: segment, criteria, TAM, coverage owner, next action).
  • Trigger event log with timestamps/source, impact rating, and follow-up play.
  • Messaging workbook mapping persona × segment × proof points for instant enablement pulls.

Tips

  • Keep taxonomy dictionaries centrally managed so enrichment jobs and analytics share the same lookups.
  • Re-score accounts quarterly or after major firmographic events (funding, layoffs) to keep priorities fresh.
  • Pair quant scores with qualitative notes from AEs/CSMs to avoid over-rotating on enrichment data alone.

Source

View on GitHub