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Marketing Foundation

Compact two-skill starter: clarify positioning and choose a lead magnet. Use Marketing Launch for the broader eight-skill go-to-market workflow.

Marketing Launch

Build an evidence-led marketing plan from ICP and competition through positioning, campaigns, growth and measurement.

Agent Audit Essentials

Diagnose architecture and context, plan agent-team responsibilities, then organize project context and session handoffs. Memory and cost-runtime reviews remain outside this pack.

Conversion and Activation Review

Review the journey from landing page and lead capture through registration, first value and transparent upgrades.

Campaign Content and Brand Review

Plan a campaign, draft its channel content and review the work against actual brand guidance.

Content and Launch Planning

Prioritize an editorial roadmap and plan how to launch and distribute it across suitable channels.

Customer, Market and Community Research

Understand customer needs, compare competitors and plan a community around real member value.

Lead Magnet to Lifecycle Nurture

Choose a relevant lead magnet, then draft a permission-based nurture journey with entry, suppression and exit rules.

API Contract and Observability

Define the API contract, then plan how to observe its latency, failures and retries. Guidance and checklist; no production changes.

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Profile a dataset, choose and interpret statistical methods, then validate calculations and conclusions before sharing.

B2B Outreach Foundation

Define the target account, prioritize buying signals, plan a human LinkedIn engagement routine and prepare evidence-led responses to buyer concerns.

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01 · Category

What the MCP returns at this step

107 · Business · Planning

Apollo — ICP Prospecting

Guides apollo — icp prospecting from supplied and authorized context.

businessplanninganthropicworkflowplanung

Apollo — ICP Prospecting · Original SKILL.md

---
name: prospect
description: "Full ICP-to-leads pipeline. Describe your ideal customer in plain English and get a ranked table of enriched decision-maker leads with emails and phone numbers."
user-invocable: true
argument-hint: "[describe your ideal customer]"
---

# Prospect

Go from an ICP description to a ranked, enriched lead list in one shot. The user describes their ideal customer via "$ARGUMENTS".

## Examples

- `/apollo:prospect VP of Engineering at Series B+ SaaS companies in the US, 200-1000 employees`
- `/apollo:prospect heads of marketing at e-commerce companies in Europe`
- `/apollo:prospect CTOs at fintech startups, 50-500 employees, New York`
- `/apollo:prospect procurement managers at manufacturing companies with 1000+ employees`
- `/apollo:prospect SDR leaders at companies using Salesforce and Outreach`

## Step 1 — Parse the ICP

Extract structured filters from the natural language description in "$ARGUMENTS":

**Company filters:**
- Industry/vertical keywords → `q_organization_keyword_tags`
- Employee count ranges → `organization_num_employees_ranges`
- Company locations → `organization_locations`
- Specific domains → `q_organization_domains_list`

**Person filters:**
- Job titles → `person_titles`
- Seniority levels → `person_seniorities`
- Person locations → `person_locations`

If the ICP is vague, ask 1-2 clarifying questions before proceeding. At minimum, you need a title/role and an industry or company size.

## Step 2 — Search for Companies

Use `mcp__claude_ai_Apollo_MCP__apollo_mixed_companies_search` with the company filters:
- `q_organization_keyword_tags` for industry/vertical
- `organization_num_employees_ranges` for size
- `organization_locations` for geography
- Set `per_page` to 25

## Step 3 — Enrich Top Companies

Use `mcp__claude_ai_Apollo_MCP__apollo_organizations_bulk_enrich` with the domains from the top 10 results. This reveals revenue, funding, headcount, and firmographic data to help rank companies.

## Step 4 — Find Decision Makers

Use `mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search` with:
- `person_titles` and `person_seniorities` from the ICP
- `q_organization_domains_list` scoped to the enriched company domains
- `per_page` set to 25

## Step 5 — Enrich Top Leads

> **Credit warning**: Tell the user exactly how many credits will be consumed before proceeding.

Use `mcp__claude_ai_Apollo_MCP__apollo_people_bulk_match` to enrich up to 10 leads per call with:
- `first_name`, `last_name`, `domain` for each person
- `reveal_personal_emails` set to `true`

If more than 10 leads, batch into multiple calls.

## Step 6 — Present the Lead Table

Show results in a ranked table:

### Leads matching: [ICP Summary]

| # | Name | Title | Company | Employees | Revenue | Email | Phone | ICP Fit |
|---|---|---|---|---|---|---|---|---|

**ICP Fit** scoring:
- **Strong** — title, seniority, company size, and industry all match
- **Good** — 3 of 4 criteria match
- **Partial** — 2 of 4 criteria match

**Summary**: Found X leads across Y companies. Z credits consumed.

## Step 7 — Offer Next Actions

Ask the user:

1. **Save all to Apollo** — Bulk-create contacts via `mcp__claude_ai_Apollo_MCP__apollo_contacts_create` with `run_dedupe: true` for each lead
2. **Load into a sequence** — Ask which sequence and run the sequence-load flow for these contacts
3. **Deep-dive a company** — Run `/apollo:company-intel` on any company from the list
4. **Refine the search** — Adjust filters and re-run
5. **Export** — Format leads as a CSV-style table for easy copy-paste

When to use

Use for the stated task with user-supplied, authorized business context.

Requirements

This source can refer to connectors, files, accounts, or related skills. They are not bundled, connected, or authorized by this catalog entry. Keep findings tied to supplied evidence.

Starting prompt

Use the skill below for [TASK]. Ask for missing context, distinguish facts from assumptions, and do not connect accounts, send messages, or make external changes unless the user explicitly requests and authorizes them.

Not for

Automatic connector use, account access, sending, publishing, record changes, or claims unsupported by supplied evidence.

What M11 added

M11 added routing metadata, source attribution, integrity tracking and explicit boundaries around connectors and external actions. The original Apache-2.0 skill is retained unchanged.

Original authorship remains with anthropics/knowledge-work-plugins · Original source ↗

Original license & copyright

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Pre-recordec, pre-tested, elements to capture elements into Packeted-User-Relations to capture - [

pre-requisites, statements, recorded-cams
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Source SHA-256: 6ec8535206190b38599a13f2df2786626a2f6790e4d9bd40ecd0b97b2e4a8e3c
Snapshot checked: 2026-10-05T00:00:00.000Z

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