luma-inbound-webhook-enrich skillA
luma-inbound-webhook-enrich is agent-read markdown (skill) from getaero-io/gtm-eng-skills: 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..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# 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 1. **Trigger:** Luma registration / unsubscribe (document exact event names you subscribe to). 2. **Idempotency:** upsert key = email (plus event id). 3. **Normalize:** LinkedIn slug → canonical `https://www.linkedin.com/in/...` URL. 4. **Enrich:** cheap fields first; gate expensive providers. 5. **Write:** CRM or customer DB fields listed in `references/field-map.md`. 6. **Failure mode:** keep original failed payload; dead-letter queue; backfill later. 7. **Versioning:** bump play/workflow version on each mapping change; never silent overwrite of prod without dry-run. ## Backfill pattern 1. Export failed webhook payloads (or Luma guest delta since last success). 2. Re-run through the **current** versioned play. 3. Leave original failed records intact for audit. 4. Report: attempted / succeeded / still failing. ## Pair with - `luma-event-campaign` for outbound staging …
Read the whole file at its exact version.
How to install
mdr add getaero-io/gtm-eng-skills/luma-inbound-webhook-enrich@git:20260921.d62ab79mdr add getaero-io/gtm-eng-skills/luma-inbound-webhook-enrich@sha256:296451cf9d97b337Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_ztyj6eeqf62udzo5)
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Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (1690 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
getaero-io/gtm-eng-skills · 60 stars · license MIT · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ztyj6eeqf62udzo5 GET https://markdownregistry.com/api/v1/resolve?ref=getaero-io/gtm-eng-skills/luma-inbound-webhook-enrich GET https://markdownregistry.com/api/v1/blob/296451cf9d97b3377412dda95c94d6f1d15c9516fc981aaf041c9b3d5228b910
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