sequence-load▌
anthropics/knowledge-work-plugins · updated Apr 8, 2026
Find, enrich, and load contacts into an outreach sequence — end to end. The user provides targeting criteria and a sequence name via "$ARGUMENTS".
Sequence Load
Find, enrich, and load contacts into an outreach sequence — end to end. The user provides targeting criteria and a sequence name via "$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,domainfor each personreveal_personal_emailsset totrue
-
Create contacts — For each enriched person, use
mcp__claude_ai_Apollo_MCP__apollo_contacts_createwith:first_name,last_name,email,title,organization_namedirect_phoneormobile_phoneif availablerun_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 IDemailer_campaign_id: same sequence IDcontact_ids: array of created contact IDssend_email_from_email_account_id: the chosen email account IDsequence_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 |
|---|
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
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★51 reviews- ★★★★★Ganesh Mohane· Dec 28, 2024
sequence-load has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Shikha Mishra· Dec 24, 2024
Registry listing for sequence-load matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Michael Diallo· Dec 24, 2024
sequence-load has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★James Bhatia· Dec 12, 2024
sequence-load fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Sakura Jain· Dec 4, 2024
Keeps context tight: sequence-load is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ava Taylor· Dec 4, 2024
Registry listing for sequence-load matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Camila Liu· Nov 23, 2024
Useful defaults in sequence-load — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★James Chawla· Nov 23, 2024
I recommend sequence-load for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Kofi Johnson· Nov 23, 2024
sequence-load reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Yash Thakker· Nov 15, 2024
sequence-load reduced setup friction for our internal harness; good balance of opinion and flexibility.
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