npx skills add https://github.com/w95/awesome-claude-corporate-skills
apolloio/apollo-mcp-plugin
enrich-lead
Instant lead enrichment. Drop a name, company, LinkedIn URL, or email and get the full contact card with email, phone, title, company intel, and next actions.
Installation
npx skills add apolloio/apollo-mcp-plugin --skill enrich-lead
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Other skills from apolloio/apollo-mcp-plugin.
npx skills add apolloio/apollo-mcp-plugin
More details
Agent compatibility
Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.
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main
Package contents
Files included with this skill beyond the listing page.
-
skill md
SKILL.md2,922 B -
docs
SUMMARY.md174 B
History
- First seen on skills.sh
- First recorded snapshot · 427 installs
SKILL.md
Enrich Lead
Turn any identifier into a full contact dossier. The user provides identifying info via "$ARGUMENTS".
Examples
/apollo:enrich-lead Tim Zheng at Apollo/apollo:enrich-lead https://www.linkedin.com/in/timzheng/apollo:enrich-lead [email protected]/apollo:enrich-lead Jane Smith, VP Engineering, Notion/apollo:enrich-lead CEO of Figma
Step 1 — Parse Input
From "$ARGUMENTS", extract every identifier available:
- First name, last name
- Company name or domain
- LinkedIn URL
- Email address
- Job title (use as a matching hint)
If the input is ambiguous (e.g. just "CEO of Figma"), first use mcp__claudeaiApollo_MCP__apollomixedpeopleapisearch with relevant title and domain filters to identify the person, then proceed to enrichment.
Step 2 — Enrich the Person
Credit warning: Tell the user enrichment consumes 1 Apollo credit before calling.
Use mcp__claudeaiApollo_MCP__apollopeoplematch with all available identifiers:
firstname,lastnameif name is knowndomainororganization_nameif company is knownlinkedin_urlif LinkedIn is providedemailif email is provided- Set
revealpersonalemailstotrue
If the match fails, try mcp__claudeaiApollo_MCP__apollomixedpeopleapisearch with looser filters and present the top 3 candidates. Ask the user to pick one, then re-enrich.
Step 3 — Enrich Their Company
Use mcp__claudeaiApollo_MCP__apolloorganizationsenrich with the person's company domain to pull firmographic context.
Step 4 — Present the Contact Card
Format the output exactly like this:
[Full Name] | [Title] [Company Name] · [Industry] · [Employee Count] employees
| Field | Detail |
|---|---|
| Email (work) | ... |
| Email (personal) | ... (if revealed) |
| Phone (direct) | ... |
| Phone (mobile) | ... |
| Phone (corporate) | ... |
| Location | City, State, Country |
| URL | |
| Company Domain | ... |
| Company Revenue | Range |
| Company Funding | Total raised |
| Company HQ | Location |
Step 5 — Offer Next Actions
Ask the user which action to take:
- Save to Apollo — Create this person as a contact via
mcp__claudeaiApollo_MCP__apollocontactscreatewithrun_dedupe: true - Add to a sequence — Ask which sequence, then run the sequence-load flow
- Find colleagues — Search for more people at the same company using
mcp__claudeaiApollo_MCP__apollomixedpeopleapisearchwithqorganizationdomains_listset to this company - Find similar people — Search for people with the same title/seniority at other companies