enrich-linkedin-profile

Turn a LinkedIn profile URL into a full person profile plus a verified work email in a single call, powered by Cargo. Triggers: "enrich these LinkedIn profiles", "get details from this LinkedIn URL", "I have LinkedIn URLs and need emails", "enrich LinkedIn data", "who is this person". Providers: aiArk. Skip when: you do not have the LinkedIn URL yet — use find-linkedin-url first; or you only have a name and domain — use find-work-email.

Cargo@cargo-ai

Install

openclaw skills install @cargo-ai/enrich-linkedin-profile

Enrich LinkedIn Profile

Turn a LinkedIn profile URL into a full person profile plus a verified work email in a single call.

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 you@company.com          # sends a code, then exits
cargo-ai login --email you@company.com --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 "enrich-linkedin-profile" \
  --summary "[gtm-skills: enrich-linkedin-profile] Session started from the enrich-linkedin-profile standalone skill."

Do the job

bash

cargo-ai orchestration action execute-batch \
  --action '{"kind":"connector","integrationSlug":"aiArk","actionSlug":"enrichPerson","config":{}}' \
  --records '[{"linkedinUrl":"https://www.linkedin.com/in/example"}]' \
  --wait-until-finished

Full profile — role, seniority, company, history — plus a verified email address.

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
`aiArk.enrichPerson`	0.1

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

Bills 0 when no email is found, so a miss is free.
The single best value in the catalog when you already hold LinkedIn URLs: profile and verified email together for less than a separate email lookup alone.

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.