SKILLKnowledge Work

enrich-lead

プラグイン: Apollo.io
引数: [name, company, LinkedIn URL, or email]
ソース: GitHub で見る ↗

説明

リード情報の即座な充実化。人名、企業名、LinkedInのURL、メールアドレスのいずれかを入力するだけで、メールアドレス、電話番号、役職、企業情報、次のアクションまで含んだ完全な連絡先カードが手に入ります。

原文を表示

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.

ユースケース

リード情報を素早く充実させたいとき
メールアドレスや電話番号を調べるとき
企業情報や役職を確認するとき
完全な連絡先カードを作成するとき

本文

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 sarah@stripe.com
/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__claude_ai_Apollo_MCP__apollo_mixed_people_api_search 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__claude_ai_Apollo_MCP__apollo_people_match with all available identifiers:

first_name, last_name if name is known
domain or organization_name if company is known
linkedin_url if LinkedIn is provided
email if email is provided
Set reveal_personal_emails to true

If the match fails, try mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search 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__claude_ai_Apollo_MCP__apollo_organizations_enrich 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
LinkedIn	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__claude_ai_Apollo_MCP__apollo_contacts_create with run_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__claude_ai_Apollo_MCP__apollo_mixed_people_api_search with q_organization_domains_list set to this company
Find similar people — Search for people with the same title/seniority at other companies

原文・著作権は Anthropic および各プラグイン作者に帰属します。日本語訳は Claude API による自動翻訳です。

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)

Step 2 — Enrich the Person

Credit warning: Tell the user enrichment consumes 1 Apollo credit before calling.

Use mcp__claude_ai_Apollo_MCP__apollo_people_match with all available identifiers:

first_name, last_name if name is known

domain or organization_name if company is known

linkedin_url if LinkedIn is provided

email if email is provided

Set reveal_personal_emails to true

If the match fails, try mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search with looser filters and present the top 3 candidates. Ask the user to pick one, then re-enrich.

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__claude_ai_Apollo_MCP__apollo_contacts_create with run_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__claude_ai_Apollo_MCP__apollo_mixed_people_api_search with q_organization_domains_list set to this company

Find similar people — Search for people with the same title/seniority at other companies