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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.

Install / Use

npx skills add anthropics/knowledge-work-plugins --skill sequence-load

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

87/100

Supported Platforms

Universal

Tags

Our assessment of sequence-load

sequence-load scores 87/100 on our quality scale, 243rd of 628 AI & Machine Learning skills we index (top 39%).

Its SKILL.md is 3.9 KB long, well organised into 10 sections and no code examples: a solid amount of guidance for an agent.

With 25,526 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
13/20
Description
15/15
Adoption
19/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated yesterday, so sequence-load is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-26. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

sequence-load compared with similar skills

All 4 of these similar skills score higher than sequence-load; compare them before choosing.

SkillScoreStarsUpdatedFormat
sequence-load (this skill)by anthropics8725.5k1d agoSKILL.md
claude-memby thedotmack10094.7ktodayCLAUDE.md
Understand-Anythingby Egonex-AI10084.2k13d agoCLAUDE.md
headroomby headroomlabs-ai10073.8ktodayCLAUDE.md
CowAgentby zhayujie10047.1ktodayCLAUDE.md

Frequently asked questions

How do I install sequence-load?
Run npx skills add anthropics/knowledge-work-plugins --skill sequence-load. The install tabs above show the steps for each supported agent.
Which AI agents does sequence-load work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is sequence-load safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is sequence-load still maintained?
The repository was last updated yesterday, so sequence-load is actively maintained.

name: sequence-load description: "Find leads matching criteria and bulk-add them to an Apollo outreach sequence. Handles enrichment, contact creation, deduplication, and enrollment in one flow." user-invocable: true argument-hint: "[targeting criteria + sequence name]"

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:

  1. 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
  2. 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:

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

Related Skills

View on GitHub
GitHub Stars25.5k
CategoryAI
Updated1d ago
Forks3.0k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions