cargo-quickstart
Guided first-run demo for Cargo — one persona question to 25 real leads with a cost receipt in under two minutes, ending by saving the pull as a recurring play. Triggers: "show me what Cargo can do", "give me a demo", "take me on a tour", "quickstart", "getting started with Cargo", "I just installed Cargo", "my workspace is empty", "does this actually work". Skip when: the user has a real job to run (build a list, enrich a CSV, find emails) — use cargo-gtm; when they want CLI reference or routing — use the cargo router skill.
How do I install this agent skill?
npx skills add https://github.com/getcargohq/cargo-skills --skill cargo-quickstartIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The cargo-quickstart skill is a guided demo for the Cargo platform that automates lead discovery using the vendor's CLI tool. It installs the @cargo-ai/cli package from NPM and executes searches based on user-provided buyer personas. The analysis identified that user input is interpolated into shell commands, which presents a potential injection surface if not handled securely by the agent. All external dependencies and network activities are associated with the vendor's official infrastructure.
- Socketpass
No alerts
- Snykwarn
Risk: MEDIUM · 1 issue
What does this agent skill do?
Cargo Quickstart — first value in two minutes
One guided demo: pull ~25 fresh leads matching a buyer persona the user picks, show the cost receipt, then save the pull as a recurring play. The point is not the list — it's that in minute 3 the user owns a running system, not a one-off result.
A new account starts with 100 free credits — no card. This demo spends about 0.5 of them. Say that out loud before the first paid call ("this costs about half a credit of your 100 free ones"): it converts the moment from a purchase decision into a look around, which is the whole job of a quickstart. Never let a new user think the demo is why they'd run out.
Bootstrap
Already signed in (cargo-ai whoami returns a workspace)? Skip to the next section.
npm install -g @cargo-ai/cli # no global install? prefix every command with `npx @cargo-ai/cli`
cargo-ai login --email you@company.com # emailed code, no browser; creates the account on first use
# alternatives: --oauth (browser) · --token <api-token> (CI)
cargo-ai whoami # confirm the active workspace before any write
Every command prints JSON to stdout; failures exit non-zero with {"errorMessage": "..."}. Anything that creates a run or a batch is async — pass --wait-until-finished or poll the matching get. When the full skill bundle is installed, ../cargo/references/prerequisites.md adds the CLI version pin, token scopes, and the admin-only surface.
The one question
Ask exactly one question before doing anything:
"Who do you sell to?" (a persona in a few words — e.g. "Heads of RevOps at mid-market SaaS")
Everything else — provider, filters, limits — you decide. Don't ask about output format, volume, or providers; defaults below.
Speed budget — HARD RULES
The demo has a two-minute budget from answer to deliverable. On the fast path:
- No discovery detours. Do not run
cargo-ai --version,cargo-ai whoami,connection connector list, or any exploratory command first. Auth problems will surface as errors on the first real call — handle them then. - One command block per step, no narration between commands.
- Paid work is capped at ~1 credit total. The demo uses the cheapest sourcing action in the catalog (
salesNavigator.searchLeads, 0.02/record → 25 records ≈ 0.5 credits). Nothing else paid runs without asking. - Never dead-end. Every step has a fallback (ladder below). If a rung fails, drop one rung silently and keep moving.
Fast path
Translate the persona into a searchLeads filter (quote the exact title phrase in keywords; a bare keyword matches loosely and pollutes the page) and run:
# 1. Execute — returns a run object; note run.uuid and run.workflowUuid.
# searchLeads returns a 25-row page minimum (limit below 25 still bills 25 × 0.02 = 0.5 credits).
cargo-ai orchestration action execute \
--action '{"kind":"connector","integrationSlug":"salesNavigator","actionSlug":"searchLeads"}' \
--data '{"keywords": "\"<persona title phrase>\"", "limit": 25}' \
--wait-until-finished > /tmp/quickstart-run.json
# 2. Fetch the output data (NOT in the execute stdout) — signed URL, then filter to THIS run
RUN_UUID=$(jq -r '.run.uuid' /tmp/quickstart-run.json)
WF_UUID=$(jq -r '.run.workflowUuid' /tmp/quickstart-run.json)
curl -s "$(cargo-ai orchestration run download-outputs \
--workflow-uuid "$WF_UUID" --output-node-slug action --format json | jq -r '.url')" \
> /tmp/quickstart-outputs.json
# 3. Show the table (the file holds ALL of the workflow's runs — filter by _uuid;
# each row's .output is the leads array directly, fields are snake_case)
jq -r --arg u "$RUN_UUID" \
'[.[] | select(._uuid==$u)][0].output[] | [.full_name, .job_title, .company_name, (.recently_hired // false)] | @tsv' \
/tmp/quickstart-outputs.json | head -25
Show the table (name · title · company · recently-hired), not the raw JSON. recently_hired: true rows are the demo's headline — lead with them ("6 of these 25 just started the job — the exact moment to reach out").
Fallback ladder (on auth/error, drop a rung — don't stop)
salesNavigator.searchLeads(0.02/record) — primary.theirStack.searchJobs(0.5) — reframe as "companies hiring your persona right now" (job postings for the persona's title). Same wow, different angle.waterfall.searchProspects(3/record) — exceeds the ~1-credit demo cap, so this rung asks first: "The two cheap sources aren't connected; I can pull 5 matches via waterfall for ~15 credits instead — run it, or connect Sales Navigator first (free)?" Run only on an explicit yes, withlimitcapped at 5.- Nothing connected at all → run the free path:
cargo-ai connection integration list | head, show what could be wired, and offer to connect one (browser auth) — the demo resumes after.
The receipt (mandatory, verbatim discipline)
The demo is itself the pilot from ../cargo-gtm/references/cost-discipline.md. Close it with a receipt:
- Credits spent + balance remaining (
cargo-ai billing subscription get— remaining =subscriptionAvailableCreditsCount − subscriptionCreditsUsedCount). For a brand-new account, frame it against the 100 free starting credits rather than as a bare number — "0.5 spent, 99.5 of your 100 free credits left" lands very differently from "99.5 credits remaining". - Hit-rate: "25 of 25 returned" (or what actually came back, and which rows look off).
Minute 3 — save it as a play
Immediately offer to make the pull recurring — this is the step that shows what Cargo is:
"Want this to run by itself? I can save this exact search as a play that runs weekly and writes new matches into a model — new
<persona>leads land without you asking."
On yes, follow ../cargo-gtm/recipes/save-as-play.md with the demo's action + filter as the workflow body and a weekly cron.
After the demo — route onward
Propose 2–3 next steps grounded in the rows just pulled, per the next-step spec in ../cargo-gtm/SKILL.md (§4): e.g. "enrich these 25 with firmographics (~0.5 cr each)", "find + verify emails for the best 10 (~1.4 cr each)", or something else entirely. From here, real GTM work belongs to cargo-gtm — read it before anything beyond the demo.
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/getcargohq/cargo-skills/cargo-quickstart">View cargo-quickstart on skillZs</a>