luma-inbound-webhook-enrich SKILL.md skillA
luma-inbound-webhook-enrich from getaero-io/gtm-eng-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add getaero-io/gtm-eng-skills/luma-inbound-webhook-enrich@git:20260921.d62ab79Pins git:20260921.d62ab79 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- getaero-io/gtm-eng-skills
- Path
drafts/luma-inbound-webhook-enrich/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260921.d62ab79, committed Sep 21, 2026
- Size
- 1,690 bytes
- Repository stars
- 73
- License
- MIT
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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file 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@sha256:296451cf9d97b337The line at the top of this page pins the label git:20260921.d62ab79, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_ztyj6eeqf62udzo5)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 21, 2026.
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 · 73 stars · license MIT · pushed 2026-11-05 · 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
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.