Build a Total Addressable Market list: size the audience, source companies from ICP filters, then find contacts at those companies at scale.
日本語の概要は準備中です。原文の説明を表示しています。
getaero-io/gtm-eng-skills662026年10月12日 更新
無料GitHub で公開
luma-inbound-webhook-enrich
DRAFT. Design and harden a standing Luma registration/unsubscribe webhook that enriches guests and writes to CRM or customer DB — with backfill and versioning. Not installed by deepline skills.
含まれるファイル（3）
- SKILL.md1.7 KB
- references/field-map.md2.6 KB
- templates/play-sketch.json2.8 KB
SKILL.md（原文）
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Luma inbound webhook enrich (DRAFT)
Goal
Registration events become a durable system: webhook → validate → normalize LinkedIn → enrich → upsert CRM/DB → optional Slack notify. Not a one-off CSV import after the event.
Design checklist
- Trigger: Luma registration / unsubscribe (document exact event names you subscribe to).
- Idempotency: upsert key = email (plus event id).
- Normalize: LinkedIn slug → canonical
https://www.linkedin.com/in/...URL. - Enrich: cheap fields first; gate expensive providers.
- Write: CRM or customer DB fields listed in
references/field-map.md. - Failure mode: keep original failed payload; dead-letter queue; backfill later.
- Versioning: bump play/workflow version on each mapping change; never silent overwrite of prod without dry-run.
Backfill pattern
- Export failed webhook payloads (or Luma guest delta since last success).
- Re-run through the current versioned play.
- Leave original failed records intact for audit.
- Report: attempted / succeeded / still failing.
Pair with
luma-event-campaignfor outbound stagingevent-ops-score-and-doorfor capacity decisions (separate from inbound enrich)
Guardrails
- Do not log raw PII into public git.
- Secrets only via secret store / workflow secrets — never in SKILL.md.
- Ask before replaying large historical backfills (cost + CRM noise).
レビュー
まだレビューはありません。使ってみた感想をお寄せください。
同じリポジトリのスキル
概要と使いどころ
Convert a Clay table configuration into local Deepline scripts. Handles extraction (MCP or script), documentation, action mapping, script generation, and parity validation against Clay ground truth.
日本語の概要は準備中です。原文の説明を表示しています。
getaero-io/gtm-eng-skills662026年10月12日 更新
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日本語の概要は準備中です。原文の説明を表示しています。
getaero-io/gtm-eng-skills662026年10月12日 更新
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日本語の概要は準備中です。原文の説明を表示しています。
getaero-io/gtm-eng-skills662026年10月12日 更新
Build, publish, and verify a Deepline Play as a durable state machine over Customer DB tables, including a small paid pilot. Invoke this skill explicitly when the user asks to build an engine.
日本語の概要は準備中です。原文の説明を表示しています。
getaero-io/gtm-eng-skills662026年10月12日 更新
Send feedback or bug reports to the Deepline team. Use when the user asks to report feedback or share a session, and proactively when a Deepline Play is disproportionately slow, appears stuck, or an ordinary outcome requires avoidable product steps.
日本語の概要は準備中です。原文の説明を表示しています。
getaero-io/gtm-eng-skills662026年10月12日 更新