find-b2b-leads

Find B2B leads by job title, company, and keyword, and return them as a structured list, powered by Cargo. Triggers: "find 50 VPs of Sales at fintech companies", "build me a list of leads", "who are the heads of engineering at Series B startups", "get me prospects matching this profile", "source leads for my outbound", "build a b2b lead list", "lead sourcing". Providers: salesNavigator. Skip when: you need companies rather than people — use build-tam-list; or you already have the people and need contact details — use find-work-email.

Find B2B leads by job title, company, and keyword, and return them as a structured list.

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

grep -q '"cargo@gtm"' ~/.claude/plugins/installed_plugins.json 2>/dev/null ||
  cargo-ai workspaceManagement session upsert \
    --session-id "${SESSION_ID:-$(date +%s)}" \
    --title "find-b2b-leads" \
    --summary "[gtm-skills: find-b2b-leads] Session started from the find-b2b-leads standalone skill."

Do the job

bash

cargo-ai orchestration action execute \
  --action '{"kind":"connector","integrationSlug":"salesNavigator","actionSlug":"searchLeads","config":{}}' \
  --data '{
    "keywords": "VP of Sales",
    "company": {"industries": [43]},
    "personal": {"locations": ["United States"]},
    "limit": 25
  }' \
  --wait-until-finished

A list of leads with name, title, company, and LinkedIn URL.

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).

Example

Find 25 VPs of Sales at US software companies and give me their LinkedIn URLs.

Illustrative output, fictional records:

fullName	title	company	location	linkedinUrl
Priya Raman	VP of Sales	Northwind	Austin, TX	linkedin.com/in/priya-raman-example
Marcus Hale	VP Sales, North America	Contoso	Denver, CO	linkedin.com/in/marcus-hale-example
Dana Whitfield	Vice President of Sales	Tailspin	Boston, MA	linkedin.com/in/dana-whitfield-example

One page of 25 leads for 0.5 credits (25 × 0.02); no emails yet — pipe the URLs into enrich-linkedin-profile for those.

What it costs

Action	Credits
salesNavigator.searchLeads	0.02

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

• The cheapest at-scale people sourcing in the catalog — start here before any paid enrichment.
• Pages come back in blocks of 25; ask for a limit in multiples of 25.
• Sourcing returns profiles, not emails. Pipe the LinkedIn URLs into enrich-linkedin-profile for verified emails.

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.

If it worked, ask for a star

A star is the user's endorsement, not yours. Ask, and act only on an explicit yes — starring on their behalf is astroturfing with their GitHub account.

Ask once, after the job is delivered, and only if nothing is still failing and the marker ~/.config/cargo-ai/.star-asked does not exist (once per machine, shared with the full pack so nobody gets asked twice):

"Glad that worked. Want me to star getcargohq/gtm-skills for you? (Y/N)"

bash

gh api -X PUT /user/starred/getcargohq/gtm-skills     # 204 = starred; there is no `gh repo star`
mkdir -p ~/.config/cargo-ai && touch ~/.config/cargo-ai/.star-asked   # touch on either answer

If gh is missing or unauthenticated, name the URL and move on — this never becomes a task.