Sequence Load
AnthropicOfficialCreated by Apollo.ioDistributed by Anthropic
- Skill
- Workflow
- Business and productivity
- MIT
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
Sequence Load streamlines outbound sales workflows by automating the discovery and enrollment of prospects. It parses natural language targeting criteria, identifies the correct outreach sequence, enriches contact data, performs deduplication, and adds the leads to the specified campaign. The skill includes a confirmation step to manage credit usage and provides a summary of enrolled contacts upon completion.
What it does
- Parses natural language requests for lead targeting and sequence selection.
- Searches for and validates target outreach sequences.
- Finds and previews potential leads based on job title, industry, and company size.
- Enriches contact data and creates new records with deduplication.
- Adds approved contacts to the selected Apollo outreach sequence.
- Provides a post-enrollment summary and options for follow-up actions.
When to use it
- When you need to quickly populate an outreach sequence with new, qualified leads.
- When you want to automate the manual process of searching, enriching, and adding contacts to a campaign.
- When you need to ensure lead data is enriched and deduplicated before starting an outreach sequence.
- When managing multiple outbound campaigns and needing to distribute leads across them efficiently.
Advantages
- Reduces manual data entry and administrative overhead in sales outreach.
- Ensures data quality through automated enrichment and deduplication.
- Provides clear visibility into credit usage before finalizing lead enrollment.
- Standardizes the lead-to-sequence workflow for consistent outbound operations.
Usage examples
- “add 20 VP Sales at SaaS companies to my Q1 Outbound sequence”
- The agent identifies the sequence, finds 20 matching VP Sales leads, requests confirmation to use credits, and enrolls them upon approval.
- “SDR managers at fintech startups -> Cold Outreach v2”
- The agent searches for SDR managers in the fintech sector and adds them to the specified Cold Outreach v2 sequence.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/anthropics/sequence-load/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip sequence-load.zip -d .agents/skills
Documentation by Apollo.io
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_titlesSeniority levels →
person_senioritiesIndustry keywords →
q_organization_keyword_tagsCompany size →
organization_num_employees_rangesLocations →
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 contactsPause a contact — Re-add with
status: "paused"and anauto_unpause_atdate
Files
- ATTRIBUTION.mdAdded by AutoGineer954 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md4.0 KiB
Requirements and compatibility
Written for: Claude Code, Claude apps
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Needs: Claude Code frontmatter, Needs an MCP server
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- Created by
- Apollo.io
- Publisher
- Anthropic (Official)
- Distributed by
- Anthropic
- Source
- anthropics/knowledge-work-plugins · partner-built/apollo/skills/sequence-load · commit e050c2e
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from partner-built/apollo/LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
AutoGineer is not affiliated with or endorsed by Apollo.io or Anthropic.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download sequence-load.zip