abm-campaign
ABM campaign skill for Claude Code: run a full Account-Based Marketing campaign end-to-end — from ICP definition to live LinkedIn…
Cold email skill for Claude Code and Codex: build a targeted B2B prospect list with Vibe Prospecting, enrich it with firmographics and verified work emails, write a personalized icebreaker and email per prospect from their real company data, and push every lead into a live
$ npx -y skills add explorium-ai/gtm-skills --skill cold-email-lemlist --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/cold-email-lemlistContext preview
The summary Claude sees to decide when to auto-load this skill.
Cold email skill for Claude Code and Codex: build a targeted B2B prospect list with Vibe Prospecting, enrich it with firmographics and verified work emails, write a personalized icebreaker and email per prospect from their real company data, and push every lead into a live
name: cold-email-lemlist description: "Cold email skill for Claude Code and Codex: build a targeted B2B prospect list with Vibe Prospecting, enrich it with firmographics and verified work emails, write a personalized icebreaker and email per prospect from their real company data, and push every lead into a live Lemlist campaign with personalization variables pre-filled. Use for cold outbound, email personalization at scale, and Lemlist campaign setup. Triggers on 'cold email campaign', 'push leads to Lemlist', 'write personalized outbound emails', 'build a Lemlist sequence'. Works in Claude Code, Codex, Grok, and Claude Cowork." compatibility: "Requires: Vibe Prospecting CLI (npx @vibeprospecting/vpai@latest) or connector, Lemlist API key"
Build a targeted prospect list, enrich it with firmographic and contact data, have Claude write personalized emails for each prospect, and push everything to a live Lemlist campaign — ready to send.
**What you'll end up with:**
---
Do not start Phase 1 until both checks pass.
**Cowork mode:** look for a tool matching `mcp__*__fetch-entities` in your tool list.
**Claude Code / terminal:**
npx @vibeprospecting/vpai@latest --help
Ask the user: *"Please paste your Lemlist API key. I'll verify it and we'll get started."*
Get it from: Lemlist → Settings → Integrations → API.
Once provided, verify:
export LEMLIST_API_KEY="<key-from-user>"
curl -s "https://api.lemlist.com/api/team" \
-u ":$LEMLIST_API_KEY" \
| python3 -c "
import json, sys
d = json.load(sys.stdin)
print('✅ Connected —', d.get('name', 'team found')) if '_id' in d else print('❌ Failed:', d.get('message', 'unknown error'))
"---
Ask the user for their targeting criteria if not already provided: > *"Who are we targeting? Tell me: industry, company size, geography, job titles/levels, and any tech stack or funding signals you want to filter on."*
Then run autocomplete for any controlled-vocab fields before fetching.
# Normalize industry/category values first
npx @vibeprospecting/vpai@latest autocomplete \
--args '{"field": "linkedin_category", "query": "<user industry>"}' \
--tool-reasoning 'Normalize industry filter for cold email prospect list'
# Normalize job titles if needed
npx @vibeprospecting/vpai@latest autocomplete \
--args '{"field": "job_title", "query": "<user job title>"}' \
--tool-reasoning 'Normalize job title for cold email prospect list'Sample 5 prospects first (full chain — do not stop after fetch to ask for approval):
npx @vibeprospecting/vpai@latest fetch-entities --all-parameters
npx @vibeprospecting/vpai@latest fetch-entities \
--args '{
"entity_type": "prospects",
"filters": {
"job_level": {"values": ["<user levels>"]},
"job_department": {"values": ["<user departments>"]},
"linkedin_category": {"values": ["<normalized category>"]},
"company_headcount_range": {"values": ["<user size range>"]},
"company_country_code": {"values": ["<user geo>"]},
"has_email": true
}
}' \
--number-of-results 5 \
--tool-reasoning '<user request verbatim>'Note the `session_id` and `table_name` from the output — pass these to every subsequent step.
Run the full enrich chain on those 5 (Phase 2), show the result as a table, then ask: *"Does this look right? How many prospects do you want in the full run?"* Only after approval re-run at full scale.
---
Enrich the fetched prospects with verified work email, LinkedIn URL, and direct phone.
npx @vibeprospecting/vpai@latest enrich-prospects --all-parameters
npx @vibeprospecting/vpai@latest enrich-prospects \
--args '{"enrichments": ["contacts", "profiles"]}' \
--session-id <SESSION_ID> \
--table-name <TABLE_NAME_FROM_FETCH_STEP> \
--tool-reasoning '<user request verbatim>' \
--csvDrop any prospects where `work_email` is empty — Lemlist requires a valid email to add a lead.
**Output:** `prospects-enriched.csv` — columns include `first_name`, `last_name`, `work_email`, `linkedin_url`, `job_title`, `company_name`, `company_domain`, `employee_count`, `annual_revenue`, `tech_stack`, `last_funding_type`
---
Read `prospects-enriched.csv` and write a personalized email for each prospect using their actual company data. Do not use generic templates — each email should reference something specific to that company.
Ask the user for: > *"What's the core value prop you want to lead with? And is there a specific pain point, use case, or trigger (e.g. recent funding, tech stack) you want to reference?"*
For each prospect, write:
**1. Icebreaker (1 sentence)** — a specific, researched opening line referencing something real about their company. Examples of what to use:
Open-source B2B data enrichment, prospecting, and outbound skills for Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, Grok, OpenCode, Windsurf, Hermes-Agent, OpenClaw, Claude Cowork, and 60+ other agents — powered by Explorium and Vibe Prospecting.
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