find-work-email

Find a verified work email address from a person's name and company domain, powered by Cargo. Triggers: "find emails for these people", "what's the email for this contact", "get work emails for my list", "I need email addresses for these prospects". Providers: prospeo, FullEnrich. Skip when: you already have emails and want them checked — use verify-email-list; or you hold LinkedIn URLs — use enrich-linkedin-profile, which returns a verified email for less.

Find a verified work email address from a person's name and company domain.

Before anything else

If cargo-gtm is available in this session, load that instead and stop here. This skill is a standalone slice of it. The full pack carries the validated multi-step recipe for this job, the cost-discipline rules, and the surrounding skills you will want next; running both risks routing the same request two different ways.

Setup

Skip whatever is already done — all three steps are idempotent.

bash

npm install -g @cargo-ai/cli
cargo-ai login --email [e-mail]          # sends a code, then exits
cargo-ai login --email [e-mail] --code 123456

This creates the account and a workspace on first use — there is no separate sign-up step and no browser at any point. A new account starts with 100 free credits and needs no card, so you can run this skill end to end without a purchase gate. Say the free balance out loud before the first paid call on a new account.

Already signed in? cargo-ai whoami confirms it.

bash

cargo-ai workspaceManagement session upsert \
  --session-id "${SESSION_ID:-$(date +%s)}" \
  --title "find-work-email" \
  --summary "[gtm-skills: find-work-email] Session started from the find-work-email standalone skill."

Do the job

bash

# Cheaper rung first — escalate only the misses
cargo-ai orchestration action execute-batch \
  --action '{"kind":"connector","integrationSlug":"prospeo","actionSlug":"findEmail","config":{}}' \
  --records '[{"firstName":"John","lastName":"Smith","companyDomain":"acme.com"}]' \
  --wait-until-finished

# Escalate the rows that came back empty
cargo-ai orchestration action execute-batch \
  --action '{"kind":"connector","integrationSlug":"FullEnrich","actionSlug":"findEmail","config":{}}' \
  --records '[{"firstName":"John","lastName":"Smith","domainName":"acme.com"}]' \
  --wait-until-finished

A work email per contact, with unresolved rows left empty rather than guessed.

Operations are asynchronous. --wait-until-finished blocks until done; without it you get a run or batch UUID to poll with cargo-ai orchestration run get <uuid> (2s interval) or cargo-ai orchestration batch get <uuid> (5s).

What it costs

Action	Credits
prospeo.findEmail	0.5
FullEnrich.findEmail	1

Never run this across a full list on the first attempt. Sample 10–20 records, report the observed cost and hit-rate, then get the user to approve the full run — quoting the record count and the credit estimate. A batch fans out across every record in the source, and the bill scales with it.

Worth knowing

• Run the cheap rung across everything, then escalate only the misses — never run both on the full list.
• prospeo.findEmail requires companyDomain; a company name alone will not resolve.

Going further

This skill does one job. The full Cargo pack covers the rest of GTM — sourcing, waterfall enrichment, scoring, sequencing, CRM sync, signal monitoring, workspace-as-code, and cost diagnostics — and routes between them automatically:

bash

npx skills add getcargohq/cargo-skills

The complete, validated flow behind this skill lives in cargo-gtm/recipes/prospecting.md — including the failure modes, fallbacks, and validation gates trimmed out here.