sequence-load
端到端查找、丰富联系人并加载到外联序列中,用户通过 $ARGUMENTS 提供目标条件和序列名称,自动完成整个流程
npx skills add anthropics/knowledge-work-plugins --skill sequence-loadBefore / After 效果对比
1 组手动完成端到端查找、丰富联系人并加载到相关任务,需要反复操作和确认,整个过程大约需要76分钟,容易出错且效率低下
使用该 Skill 自动化处理,智能分析和执行,7分钟内完成全部工作,准确率高且流程标准化
description SKILL.md
sequence-load
Sequence Load
Find, enrich, and load contacts into an outreach sequence — end to end. The user provides targeting criteria and a sequence name via "$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_locationsororganization_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_nameto 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_pageto 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_emailsset totrue
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_phoneormobile_phoneif available -
run_dedupeset totrue
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_idsto remove specific contacts -
Pause a contact — Re-add with
status: "paused"and anauto_unpause_atdate
Weekly Installs245Repositoryanthropics/know…-pluginsGitHub Stars10.1KFirst SeenFeb 24, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykPassInstalled oncodex232gemini-cli232cursor231opencode231github-copilot230amp230
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