---
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

---

Attribution added by YourAIKit. It is not part of the upstream file.

- Source: https://github.com/anthropics/knowledge-work-plugins/tree/main/partner-built/apollo/skills/prospect
- Credit: Anthropic, Knowledge Work Plugins (apollo)
- Upstream copy: anthropics/knowledge-work-plugins at commit 33d3dea41a341b341d4f5da2e8801ae0c89be2b8, partner-built/apollo/skills/prospect/SKILL.md
- Copyright: Copyright (c) 2025 Apollo.io
- License: MIT. Full text: https://youraikit.com/licenses/anthropics-knowledge-work-plugins-partner-built-apollo/LICENSE
- The full upstream license text (LICENSE) follows.

License (LICENSE):

```text
MIT License

Copyright (c) 2025 Apollo.io

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
```