以 AI 机器人身份加入视频会议,提供语音、虚拟形象与屏幕共享四种模式。
编程
research-account
试用Research one company and its public website before a meeting and hand back a briefing, powered by Cargo — what it does, what it publicly says is hard right now, and who it names as competition, each line traceable to where it came from. Triggers: "research this company", "brief me on this account", "prep me for this meeting", "what should I know about them", "write me a one-pager on", "what are they struggling with", "who do they compete with". Meeting prep, briefing, dossier, talking points. Skip when: you want many companies filtered rather than one understood — use build-tam-list; or you want the people to contact there — use find-stakeholders.
它能做什么
One company, one briefing, every line traceable to where it came from.
技能文档
Research Account
One company, one briefing, every line traceable to where it came from.
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.
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 research a handful of accounts 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.
grep -q '"cargo@gtm"' ~/.claude/plugins/installed_plugins.json 2>/dev/null ||
cargo-ai workspaceManagement session upsert \
--session-id "${SESSION_ID:-$(date +%s)}" \
--title "research-account" \
--summary "[gtm-skills: research-account] Session started from the research-account standalone skill."
Step 1 — ask what the briefing is for
Two sentences from the user changes what is worth pulling, so ask before spending anything: what is the meeting, and what are you selling them?
A discovery call and a renewal need different pages. Without the answer the briefing becomes a company profile, which the user could have read on the website for free.
Step 2 — pull it, from sources you can name
Four calls. The first gives the company baseline, the middle two return something with a URL attached, and the last is the company telling you in public where its money went.
# 1. The baseline: what they are, how big, what they say they do
cargo-ai orchestration action execute-batch \
--action '{"kind":"connector","integrationSlug":"linkedin","actionSlug":"enrichCompanyFromDomain","config":{}}' \
--records '[{"domain":"acme.com"}]' \
--wait-until-finished
# 2. Their own words, read from their own pages
cargo-ai orchestration action execute-batch \
--action '{"kind":"connector","integrationSlug":"parallel","actionSlug":"extract","config":{}}' \
--records '[{"urls":["https://acme.com","https://acme.com/careers"],"objective":"What the company says it does, and which teams it is growing"}]' \
--wait-until-finished
# 3. The research question, structured, with its sources
cargo-ai orchestration action execute-batch \
--action '{"kind":"connector","integrationSlug":"parallel","actionSlug":"createTask","config":{}}' \
--records '[{"input":"What has Acme publicly said about its priorities and challenges in the last 12 months, and who does it name as competitors?","processor":"lite","outputSchema":{"type":"object","properties":{"priorities":{"type":"array","items":{"type":"string"}},"competitors":{"type":"array","items":{"type":"string"}},"sources":{"type":"array","items":{"type":"string"}}}}}]' \
--wait-until-finished
# 4. What they are hiring for, which is what they are spending on
cargo-ai orchestration action execute-batch \
--action '{"kind":"connector","integrationSlug":"theirStack","actionSlug":"searchJobs","config":{}}' \
--data '{
"companyFields": {"company_domains": ["acme.com"]},
"fields": {"posted_at_max_age_days": 90},
"limit": 25
}' \
--wait-until-finished
Two settings must not be dropped. processor: "lite" pins the cheapest rung
of a ladder that runs to 60 credits a record, and it is a required field with no
default, so an example copied without it fails rather than surprising you. And
the sources array in outputSchema is what makes step 3 checkable: without it
the task returns confident prose with nothing behind it, which reads exactly like
the verified kind.
Open roles are the most under-used input in account research: a company hiring six data engineers is telling you where its budget went, in public, dated, and for 0.5 credits.
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 (2s interval) or
cargo-ai orchestration batch get (5s).
Step 3 — write the briefing, and mark what is inferred
Keep it to one page. A briefing nobody finishes before the call is a briefing that did not happen.
Every line is either sourced or marked as a guess, and the two never blend. This is the whole discipline of the skill. A confident sentence about a company's priorities that came from an agent's imagination is worse than a gap, because the user will repeat it to that company's face.
- Sourced: it came back from an enrichment above. Say which.
- Inferred: you reasoned it from what came back. Prefix it
Likely:and say what it rests on. - Unknown: say so. "No public statement on this" is a usable line in a call and a fabricated one is not.
Close with three questions to ask them, drawn from the challenges rather than from a template. That is the part a human keeps.
What it costs
| Action | Credits |
|---|---|
linkedin.enrichCompanyFromDomain | 0.5 |
parallel.extract | 0.025 |
parallel.createTask | 0.125 |
theirStack.searchJobs | 0.5 |
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.
One account is about 1.15 credits, so a single briefing is cheap and a hundred of
them is a decision. Say the total before running a list. parallel.extract bills
per URL, so two pages is 0.05 and ten is 0.25.
Worth knowing
- Most of this reads public material, so a private company with a thin web presence returns little. That is a real answer: report the gap rather than padding the page.
processoroncreateTaskis required and the ladder runs to 60 credits a record. Pinlite. Escalate tobase(0.25) on a specific hard target, never across a list.theirStack.searchJobsfilters on--data, not on--records. Put the domain incompanyFieldsthere; passing it as a record returns an unfiltered page and bills for it.- Ask for the domain, not the company name. Every call here keys off it.
- For a renewal, drop steps 2 and 3 and keep the baseline and the roles. The account team already knows the story; what they want is what changed.
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:
npx skills add getcargohq/cargo-skills
The complete, validated flow behind this skill lives in
cargo-gtm/recipes/account-expansion.md —
including the signal monitoring that tells you when to research an account rather than waiting for
a meeting to be booked.
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-skillsfor you? (Y/N)"
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.
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