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Othmane-Khadri
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fullenrich-network-activation

Parse LinkedIn Connections.csv, score ICP leads, and enrich emails via FullEnrich.

277|88|Updated Jan 4, 2026
Search Tags:#linkedin#sales pipeline#lead enrichment#connections.csv#ICP qualification#fullenrich v2#webhook callbacks
One-click install
npx skills add https://github.com/Othmane-Khadri/YALC-the-GTM-operating-system --skill fullenrich-network-activation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fullenrich-network-activation
Source: https://github.com/Othmane-Khadri/YALC-the-GTM-operating-system/tree/main/.claude/skills/fullenrich-network-activation
Command: npx skills add https://github.com/Othmane-Khadri/YALC-the-GTM-operating-system --skill fullenrich-network-activation

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Converting a LinkedIn network export into a prioritized, ICP-qualified lead list requires manual parsing, scoring, and enrichment—this skill automates that workflow so you can reach out to the right people faster without wasting FullEnrich credits.

Core Features & Use Cases

  • LinkedIn Connections.csv parsing: Reads LinkedIn’s export even with the “Notes:” preamble before the real header row.
  • ICP scoring + ranking: Applies configurable rules from config/icp.json to score connections, exclude disqualifying profiles, and sort qualified leads by score.
  • FullEnrich-verified enrichment with credit safety: Enriches only contacts missing email, estimates credits, enforces a hard approval gate, and supports dry-run previews to prevent accidental spend.
  • Team-ready workflow: Dedupes contacts across multiple exports and generates two outputs: qualified enriched leads and disqualified entries with reasons.

Quick Start

Run node scripts/run.mjs path/to/Connections.csv in dry-run mode first to preview qualified results and the exact estimated FullEnrich credit cost before spending any credits.

Frequently Asked Questions about fullenrich-network-activation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I convert a LinkedIn Connections.csv export into ICP-qualified leads?▼

To convert a LinkedIn Connections.csv export into ICP-qualified leads, the skill parses the nonstandard CSV preamble, applies configurable rule-based ICP scoring from config/icp.json, and outputs ranked qualified leads and disqualified entries.

How does FullEnrich v2 bulk enrichment handle credit safety for missing emails?▼

FullEnrich v2 bulk enrichment ensures credit safety by performing a dry-run cost preview, enforcing a hard user confirmation gate, chunking requests to 100 or fewer, and enriching only contacts missing an email to prevent accidental credit spend.

Can I parse a LinkedIn connections export with a Notes preamble before the header row?▼

Yes, you can parse a LinkedIn connections export with a Notes preamble because the skill specifically reads and processes LinkedIn's nonstandard CSV format, skipping the preamble to locate the real header row for accurate data extraction.

Do I need a FULLENRICH_API_KEY to run a dry-run preview of the lead enrichment workflow?▼

You need a FULLENRICH_API_KEY configured in your environment to run the lead enrichment workflow, but running the script in dry-run mode allows you to preview qualified results and estimated credit costs without spending any FullEnrich credits.

What is the best way to dedupe contacts across multiple LinkedIn network exports for team onboarding?▼

The best way to dedupe contacts across multiple LinkedIn network exports for team onboarding is using this skill's built-in deduplication, which processes multiple files and generates a single priority-network.csv output containing unique, ICP-qualified leads.

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