Agent Academy

Agent Academy is a free, source-linked library of skills, prompts, MCP servers and bot templates, organised into courses by profession, for people who hand real work to AI agents: 1,467 live resources, each with its original link, license and safety tags.

Skill

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.

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https://github.com/anthropics/knowledge-work-plugins/blob/main/partner-built/apollo/skills/enrich-lead/SKILL.md

Install
npx skills add anthropics/knowledge-work-plugins --skill enrich-lead

Original content

Full originalMITSource

Republished in full under its license, with attribution. The source is authoritative.

name: enrich-lead
description: "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."
user-invocable: true
argument-hint: "[name, company, LinkedIn URL, or email]"

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

FieldDetail
Email (work)...
Email (personal)... (if revealed)
Phone (direct)...
Phone (mobile)...
Phone (corporate)...
LocationCity, State, Country
LinkedInURL
Company Domain...
Company RevenueRange
Company FundingTotal raised
Company HQLocation

Step 5 — Offer Next Actions

Ask the user which action to take:

  1. Save to Apollo — Create this person as a contact via mcp__claude_ai_Apollo_MCP__apollo_contacts_create with run_dedupe: true
  2. Add to a sequence — Ask which sequence, then run the sequence-load flow
  3. 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
  4. Find similar people — Search for people with the same title/seniority at other companies

Related

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account-context

360-degree view of an account - CRM data, recent email threads, docs, transcripts, and internal chat chatter, synthesized into one brief. Use when the user asks "tell me about [account]" (an existing customer; for a prospect, account-research), "account context for [name]", "what's going on with [account]", or "catch me up on [account]".

Sourcegithub.com/anthropics/knowledge-work-plugins/blob/main/sales/skills/account-context/SKILL.md

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account-plan

Build or refresh a strategic account plan - current state, goals, stakeholder coverage, opportunity map, risks, and the action plan - written to a doc and key fields synced to the CRM. Use when the user says "build an account plan for [account]", "update the [account] plan", "account planning for [account]", or before a planning cycle / QBR.

Sourcegithub.com/anthropics/knowledge-work-plugins/blob/main/sales/skills/account-plan/SKILL.md

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account-research

Research a company using Common Room data. Triggers on 'research [company]', 'tell me about [domain]', 'pull up signals for [account]', 'what's going on with [company]', or any account-level question.

Sourcegithub.com/anthropics/knowledge-work-plugins/blob/main/partner-built/common-room/skills/account-research/SKILL.md

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account-research

Research a target company and optionally a specific contact - company overview, recent news, likely priorities, and fit against your ICP. Cross-references existing CRM records. Use when the user asks to "research [company]", "look into [company]", "prospect research on [company]", "look up [person]", "intel on [prospect]", "who is [person] at [company]", or "tell me about [company]" when the company is a prospect…

Sourcegithub.com/anthropics/knowledge-work-plugins/blob/main/sales/skills/account-research/SKILL.md

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account-tiering

Score and tier a list of accounts (or your full book) against ICP fit and engagement signals to prioritize where to spend time. Use when the user asks to "tier my accounts", "prioritize my book", "which accounts should I focus on", or "score these accounts".

Sourcegithub.com/anthropics/knowledge-work-plugins/blob/main/sales/skills/account-tiering/SKILL.md

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call-prep

Prepare for a customer or prospect call using Common Room signals. Triggers on 'prep me for my call with [company]', 'prepare for a meeting with [company]', 'what should I know before talking to [company]', or any call preparation request.

Sourcegithub.com/anthropics/knowledge-work-plugins/blob/main/partner-built/common-room/skills/call-prep/SKILL.md

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