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Agent Skill · 研究检索

cargo-gtm(货物总吨位)

cargo-gtm 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

cargo-gtm 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 57,864。

总安装 423周安装 18GitHub Stars 12下载 148核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:cargo-gtm(货物总吨位)
来源仓库:https://github.com/getcargohq/cargo-skills
仓库路径:skills/cargo-gtm
安装命令:
npx skills add https://github.com/getcargohq/cargo-skills --skill cargo-gtm
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/getcargohq/cargo-skills --skill cargo-gtm

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

GTM 决策路由与安全网关,管控获客、账户研究、联系人丰富化与信号监控等执行前置条件。设定质量默认值与提供商安全门控,确保营销活动合规性与效果可控。适用于大规模客户拓展、个性化营销与 Campaign 激活等 GTM 核心场景。

使用前必须阅读 workflows/global-standards.md 确保输出符合既定规范要求。cargo-gtm 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/cargo-gtm

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/getcargohq/cargo-skills --skill cargo-gtm;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

cargo-gtm 怎么安装?

在终端执行 npx skills add https://github.com/getcargohq/cargo-skills --skill cargo-gtm。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

cargo-gtm 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

cargo-gtm 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

cargo-gtm 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

cargo-gtm 用的人多吗?

公开数据是累计安装 423 次,近一周安装 18 次,下载 148 次,GitHub 12 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

cargo-gtm 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
cargo-gtm

货物总吨位 · 本页

42312需要联网未明确未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Cargo GTM — Meta Skill

Use this skill for prospecting, account research, contact enrichment, verification, lead scoring, personalization, signal monitoring, and campaign activation.

1) What this skill governs

  • Route GTM decisions, safety gates, and provider/quality defaults before execution.
  • Keep long command chains and tooling nuance in sub-docs; provider-specific implementation detail in provider-playbooks/*.md.
  • Anchor recipes in credits-based actions (the high-value action calls). Free CRUD (createLead, getLead, deleteRecords) doesn't need this skill — agents can compose those ad hoc.

Process / goal

The user is generally trying to go from "I have an ICP" to "Here's a list of prospects with verified emails and personalized signals." They may be anywhere in this process — guide them along.

Discovery order: companies first, then people. When the task requires finding contacts at companies matching criteria (portfolio, ICP, hiring signal), discover the company set first, then find people at each company. Don't start with broad people-search queries.

Documentation hierarchy

2) Read behavior — MANDATORY before any execution

STOP. Do not call any provider, run any cargo-ai orchestration action execute command, or write any search query until you have opened the correct sub-doc for your task.

These docs encode what works, what fails, and why. They contain validated parameter schemas, cheapest-provider mappings, parallel execution patterns, sample payloads, and known pitfalls. Reading the right doc for 10 seconds saves 10 failed action calls, wasted credits, and garbage output.

Routing rules — match your task to a doc and READ IT

When the task involves…You MUST read this doc firstWhat it gives you
Finding companies, finding people, building lead lists, prospecting, portfolio/VC sourcing, contact finding at known companiesguides/finding-companies-and-contacts.mdProvider filter schemas, cheapest-source decision tree, parallel patterns, role-based search rules, portfolio/VC shortcuts, contact-finding patterns.
Enriching companies or contacts, finding emails/phones/LinkedIn, waterfall enrichment, signal lookup (job change, funding, tech stack), coalescing dataguides/enriching-and-researching.mdWaterfall patterns with fallback chains, when to use cargo-native vs waterfall vs FullEnrich vs peopleDataLabs, email/phone/LinkedIn fallback orders, signal segments, output retrieval via run download-outputs.
Writing cold emails, personalizing outreach, lead scoring, qualification, sequence design, campaign copyguides/writing-outreach.mdLLM provider routing (openAi/anthropic/perplexity/gemini), prompt templates, scoring rubrics, email length/tone rules, personalization patterns.
Building or modifying a recurring workflow (cron / webhook / scheduled tool / play), designing step sequences, triggers, deploy/verify cycles../cargo-orchestration/SKILL.md (capability) + apply-patterns from this skill's recipesSchema for tool/play workflows, node graph syntax, polling strategies, output retrieval.

Recipes: step-by-step playbooks (check before executing)

Scan this list and read the recipe matching your task. When a recipe matches: follow it step-by-step as your execution plan.

RecipeUse when…
recipes/prospecting.mdEnd-to-end find → enrich → verify → sync (P1/P2/P3 variants)
recipes/build-tam.mdBuilding a Total Addressable Market list at scale (100–10,000 companies)
recipes/linkedin-url-lookup.mdResolving a person's LinkedIn profile URL from name + company with strict identity validation
recipes/portfolio-prospecting.mdInvestor / accelerator → portfolio companies → contacts
recipes/job-change-monitoring.mdwaterfall.detectJobChange (cargo-unique) on a contact segment
recipes/funding-watch.mdTracking companies that recently raised funding
recipes/tech-intent.mdFinding companies by tech-stack or hiring-intent signals
recipes/icp-discovery.mdDiffing Closed-Won vs Closed-Lost segments to surface ICP signals

If none match, scan the phase docs above for the closest pattern and adapt — or invoke agents/execution-plan-creator.md to compose a custom chain with provider/action slugs and cost estimates.

3) Priority provider stack (recipes lead with these 6)

These six credits-based providers cover the full prospecting → enrichment → verification → signal pipeline at the lowest credit cost in the catalog. Every recipe in this skill's recipes/ leads with this stack:

ProviderRoleKey actions (cost in credits)
salesNavigatorSourcingsearchLeads (0.02), searchAccounts (0.05), findCompanyInsights/Metrics/EmployeesCount/Distribution (0.25 each)
cargo (native)Firmographic + signal intelligenceenrichBusinessFirmographics (0.5), …Technographics (1), …FundingAndAcquisitions (0.5), enrichProspectDetails/LinkedinProfile/LinkedinPosts (2), matchBusiness/matchProspect (0.5), 13 more
waterfallMulti-source enrichment + signalenrichContact (2), enrichCompany (1), verifyEmail (0.1), detectJobChange (3), searchProspects (3), findPhone (7)
FullEnrichPremium contact lookupfindEmail (1), findPhone (6), findPhoneAndEmail (7), reverseEmailLookup (2)
theirStackTech-stack + hiring intentsearchTechnologies (0.5), searchJobs (0.5), searchCompanies (0.5)
peopleDataLabsHeavyweight backfillenrichPerson (3), enrichCompany (3), searchPeople (3), searchCompanies (3), queryPeople/Companies (3)

See provider-playbooks/ for per-provider deep dives. See references/stage-action-map.md for the complete cheapest-action-per-stage table across the full 120-integration catalog.

4) Recipe spine (default chain)

1. SOURCE   → salesNavigator.searchLeads / searchAccounts            (0.02–0.05/record)
2. DEDUPE   → cargo.matchProspect / cargo.matchBusiness              (0.5/record)
3. ENRICH   → cargo.enrichBusinessFirmographics / Technographics
              + waterfall.enrichContact / enrichCompany              (0.5–2/record)
4. SIGNAL   → cargo.enrichBusinessFundingAndAcquisitions
              + theirStack.searchJobs
              + waterfall.detectJobChange                            (0.5–3/record)
5. CONTACT  → FullEnrich.findEmail (fallback peopleDataLabs)         (1–3/record)
6. VERIFY   → waterfall.verifyEmail                                  (0.1/record)
7. BACKFILL → peopleDataLabs.enrichPerson (only if step 5 missed)    (3/record)

Adapt by phase: drop steps that aren't relevant to the user's goal. For pure sourcing, run step 1 only. For "enrich a list I already have," run steps 2–7.

5) Output retrieval — use run download-outputs, not run download

When the agent needs the actual data produced by an action (enriched fields, found emails, search results), use:

cargo-ai orchestration run download-outputs \
  --workflow-uuid <uuid> \
  --output-node-slug <slug> \
  --format json \
  --is-finished

Returns {"url": "..."} — a signed URL to a CSV/JSON containing only the output node's data. Faster and cheaper than run download (which pulls full run records). See references/output-retrieval.md and ../cargo-analytics/SKILL.md.

6) Action shape rules (every recipe)

Every action JSON in this skill follows the rules in ../cargo-orchestration/references/actions.md:

  • kind: "connector" action shape: {"kind":"connector","integrationSlug":"<slug>","actionSlug":"<slug>","config":{}}. connectorUuid is NOT in config — the platform resolves the workspace's authenticated connector from integrationSlug automatically.
  • For multi-step node graphs: connectorUuid lives at the top level of the node, not in config. Cross-node interpolation uses {{nodes.<slug>.<field>}}. Agent node outputs wrap under .answer (read as {{nodes.<slug>.answer.<field>}}).

7) When stuck — file a workspace report

If a recipe fails repeatedly and the cause isn't obvious, escalate via cargo-ai workspaceManagement report create. See ../cargo-workspace-management/SKILL.md (Reports section).

8) Provider playbooks

Per-provider deep dives for the priority stack. Long-tail providers don't have dedicated playbooks yet — fall back to references/alternatives.md and references/stage-action-map.md.

Priority stack:

9) References

平台分布

Codex

37.1%
按下载量换算55

Claude

32.39%
按下载量换算48

Cursor

18.11%
按下载量换算27

Gemini CLI

9.59%
按下载量换算14

安全审计

暂无安全审计结果可展示。

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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