sequence-load

Find leads matching criteria and bulk-add them to an Apollo outreach sequence. Handles enrichment, contact creation, deduplication, and enrollment in one flow.

INSTALLATION
npx skills add https://github.com/anthropics/knowledge-work-plugins --skill sequence-load
Run in your project or agent environment. Adjust flags if your CLI version differs.

SKILL.md

Sequence Load

Find, enrich, and load contacts into an outreach sequence — end to end. The user provides targeting criteria and a sequence name via "$ARGUMENTS".

Examples

  • /apollo:sequence-load add 20 VP Sales at SaaS companies to my "Q1 Outbound" sequence
  • /apollo:sequence-load SDR managers at fintech startups → Cold Outreach v2
  • /apollo:sequence-load list sequences (shows all available sequences)
  • /apollo:sequence-load directors of engineering, 500+ employees, US → Demo Follow-up
  • /apollo:sequence-load reload 15 more leads into "Enterprise Pipeline"

Step 1 — Parse Input

From "$ARGUMENTS", extract:

Targeting criteria:

  • Job titles → person_titles
  • Seniority levels → person_seniorities
  • Industry keywords → q_organization_keyword_tags
  • Company size → organization_num_employees_ranges
  • Locations → person_locations or organization_locations

Sequence info:

  • Sequence name (text after "to", "into", or "→")
  • Volume — how many contacts to add (default: 10 if not specified)

If the user just says "list sequences", skip to Step 2 and show all available sequences.

Step 2 — Find the Sequence

Use mcp__claude_ai_Apollo_MCP__apollo_emailer_campaigns_search to find the target sequence:

  • Set q_name to the sequence name from input

If no match or multiple matches:

  • Show all available sequences in a table: | Name | ID | Status |
  • Ask the user to pick one

Step 3 — Get Email Account

Use mcp__claude_ai_Apollo_MCP__apollo_email_accounts_index to list linked email accounts.

  • If one account → use automatically
  • If multiple → show them and ask which to send from

Step 4 — Find Matching People

Use mcp__claude_ai_Apollo_MCP__apollo_mixed_people_api_search with the targeting criteria.

  • Set per_page to the requested volume (or 10 by default)

Present the candidates in a preview table:

#

Name

Title

Company

Location

Ask: "Add these [N] contacts to [Sequence Name]? This will consume [N] Apollo credits for enrichment."

Wait for confirmation before proceeding.

Step 5 — Enrich and Create Contacts

For each approved lead:

-

Enrich — Use mcp__claude_ai_Apollo_MCP__apollo_people_bulk_match (batch up to 10 per call) with:

  • first_name, last_name, domain for each person
  • reveal_personal_emails set to true

-

Create contacts — For each enriched person, use mcp__claude_ai_Apollo_MCP__apollo_contacts_create with:

  • first_name, last_name, email, title, organization_name
  • direct_phone or mobile_phone if available
  • run_dedupe set to true

Collect all created contact IDs.

Step 6 — Add to Sequence

Use mcp__claude_ai_Apollo_MCP__apollo_emailer_campaigns_add_contact_ids with:

  • id: the sequence ID
  • emailer_campaign_id: same sequence ID
  • contact_ids: array of created contact IDs
  • send_email_from_email_account_id: the chosen email account ID
  • sequence_active_in_other_campaigns: false (safe default)

Step 7 — Confirm Enrollment

Show a summary:

Sequence loaded successfully

Field

Value

Sequence

[Name]

Contacts added

[count]

Sending from

[email address]

Credits used

[count]

Contacts enrolled:

Name

Title

Company

Email

Step 8 — Offer Next Actions

Ask the user:

  • Load more — Find and add another batch of leads
  • Review sequence — Show sequence details and all enrolled contacts
  • Remove a contact — Use mcp__claude_ai_Apollo_MCP__apollo_emailer_campaigns_remove_or_stop_contact_ids to remove specific contacts
  • Pause a contact — Re-add with status: "paused" and an auto_unpause_at date
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