把自然语言描述转为结构化 JSON,并由 mcp-diagram-generator MCP 服务生成 Draw.io、Mermaid 或 Excalidraw 图表文件。
编程
find-work-email
试用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", "email finder", "work email lookup", "corporate mailbox for this colleague", "how do I reach them at work". 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.
它能做什么
Find a verified work email address from a person's name and company domain.
技能文档
Find Work Email
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.
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.
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-work-email" \
--summary "[gtm-skills: find-work-email] Session started from the find-work-email standalone skill."
Do the job
# 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 (2s interval) or
cargo-ai orchestration batch get (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.findEmailrequirescompanyDomain; 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:
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-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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