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sequence-load

by @anthropicsv
4.3(28)

連絡先の検索、エンリッチ、アウトリーチシーケンスへのロードをエンドツーエンドで実行。ユーザーは$ARGUMENTSを通じてターゲット条件とシーケンス名を提供し、プロセス全体を自動化する。

lead-generationoutreachsales-automationcrmcontact-managementGitHub
インストール方法
npx skills add anthropics/knowledge-work-plugins --skill sequence-load
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Before / After 効果比較

1
使用前

エンドツーエンドの検索、連絡先の充実、関連タスクへの読み込みを手動で完了するには、繰り返し操作と確認が必要です。全工程に約76分かかり、エラーが発生しやすく、非効率です。

使用後

このスキルを使用すると、自動処理によりインテリジェントな分析と実行が行われ、すべての作業が7分以内に完了し、高い精度と標準化されたプロセスが実現します。

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_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:

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

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:

  • 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_ids to remove specific contacts

  • Pause a contact — Re-add with status: "paused" and an auto_unpause_at date

Weekly Installs245Repositoryanthropics/know…-pluginsGitHub Stars10.1KFirst SeenFeb 24, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykPassInstalled oncodex232gemini-cli232cursor231opencode231github-copilot230amp230

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統計データ

インストール数1.2K
評価4.3 / 5.0
バージョン
更新日2026年5月22日
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作成2026年3月23日
最終更新2026年5月22日