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.

10,671 stars

Best use case

sequence-load is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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

Teams using sequence-load should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/sequence-load/SKILL.md --create-dirs "https://raw.githubusercontent.com/anthropics/knowledge-work-plugins/main/partner-built/apollo/skills/sequence-load/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/sequence-load/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How sequence-load Compares

Feature / Agentsequence-loadStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 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

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