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
- Level 1 —
SKILL.md(this file): decision model, guardrails, routing table, links to sub-docs. - Level 2 — Phase docs:
guides/finding-companies-and-contacts.md,guides/enriching-and-researching.md,guides/writing-outreach.md. - Level 2.5 — Recipes:
recipes/*.md— step-by-step playbooks for specific scenarios. - Level 3 — Provider playbooks:
provider-playbooks/<slug>.md— provider-specific quirks, costs, and fallback behavior.
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 first | What it gives you |
|---|---|---|
| Finding companies, finding people, building lead lists, prospecting, portfolio/VC sourcing, contact finding at known companies | guides/finding-companies-and-contacts.md | Provider 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 data | guides/enriching-and-researching.md | Waterfall 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 copy | guides/writing-outreach.md | LLM 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 recipes | Schema 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.
| Recipe | Use when… |
|---|---|
recipes/prospecting.md | End-to-end find → enrich → verify → sync (P1/P2/P3 variants) |
recipes/build-tam.md | Building a Total Addressable Market list at scale (100–10,000 companies) |
recipes/linkedin-url-lookup.md | Resolving a person's LinkedIn profile URL from name + company with strict identity validation |
recipes/portfolio-prospecting.md | Investor / accelerator → portfolio companies → contacts |
recipes/job-change-monitoring.md | waterfall.detectJobChange (cargo-unique) on a contact segment |
recipes/funding-watch.md | Tracking companies that recently raised funding |
recipes/tech-intent.md | Finding companies by tech-stack or hiring-intent signals |
recipes/icp-discovery.md | Diffing Closed-Won vs Closed-Lost segments to surface ICP signals |
recipes/outreach-activation.md | Turning a signal segment into send-ready outreach (enrich → verify → personalize → sequencer handoff) |
recipes/re-engagement.md | Waking up stale contacts only when a fresh signal fires (job change, funding, tech intent) |
recipes/lost-deal-revival.md | Reviving Closed-Lost CRM deals by branching on lost_reason (champion left, budget, timing) |
recipes/account-expansion.md | Multi-threading existing customer accounts — net-new buyers, deduped against the workspace's Contacts model |
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:
| Provider | Role | Key actions (cost in credits) |
|---|---|---|
| salesNavigator | Sourcing | searchLeads (0.02), searchAccounts (0.05), findCompanyInsights/Metrics/EmployeesCount/Distribution (0.25 each) |
| cargo (native) | Firmographic + signal intelligence | enrichBusinessFirmographics (0.5), …Technographics (1), …FundingAndAcquisitions (0.5), enrichProspectDetails/LinkedinProfile/LinkedinPosts (2), matchBusiness/matchProspect (0.5), 13 more |
| waterfall | Multi-source enrichment + signal | enrichContact (2), enrichCompany (1), verifyEmail (0.1), detectJobChange (3), searchProspects (3), findPhone (7) |
| FullEnrich | Premium contact lookup | findEmail (1), findPhone (6), findPhoneAndEmail (7), reverseEmailLookup (2) |
| theirStack | Tech-stack + hiring intent | searchTechnologies (0.5), searchJobs (0.5), searchCompanies (0.5) |
| peopleDataLabs | Heavyweight backfill | enrichPerson (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-finishedReturns {"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/examples/actions.md:
kind: "connector"action shape:{"kind":"connector","integrationSlug":"<slug>","actionSlug":"<slug>","config":{}}.connectorUuidis NOT inconfig— the platform resolves the workspace's authenticated connector fromintegrationSlugautomatically.- For multi-step node graphs:
connectorUuidlives at the top level of the node, not inconfig. 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:
provider-playbooks/salesNavigator.md— cheapest sourcing in the catalog (0.02–0.05/record).provider-playbooks/cargo.md— 22 native enrichment + signal actions; thematch*actions are key for dedup.provider-playbooks/waterfall.md— swiss-army-knife: enrichment, verification, and the cargo-uniquedetectJobChangesignal.provider-playbooks/FullEnrich.md— premium contact lookup;reverseEmailLookupis unique.provider-playbooks/theirStack.md— tech-stack + hiring-intent signals.provider-playbooks/peopleDataLabs.md— heavyweight backfill at flat 3-credit tier.
9) References
references/stage-action-map.md— cheapest credits-based action per stage across the full 120-integration catalog.references/credits-cost-table.md— auto-generated cost table for all 141 credits-based actions.references/waterfall-strategy.md— canonical waterfall chains by enrichment goal (every recipe's "fallback" follows these).references/alternatives.md— provider swap-ins from the long tail when the priority stack can't serve.references/output-retrieval.md—run download-outputspatterns for fetching action data.
