waterfall-enrichment SKILL.md skillA

waterfall-enrichment from leadmagic/gtm-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add leadmagic/gtm-skills/waterfall-enrichment@v1.0.0

Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
leadmagic/gtm-skills
Path
skills/automation/waterfall-enrichment/SKILL.md
Versions recorded
6
Latest version
v1.0.0, committed Oct 1, 2026
First version recorded
Jun 8, 2026
Size
5,456 bytes
Repository stars
65
License
MIT

Design multi-provider enrichment waterfalls — provider ordering by cost-per-hit, 3 separate waterfalls for company, email, and phone data, always verify after finding. Use when building enrichment waterfalls or improving data coverage.

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

# Waterfall Enrichment

## Overview

No single B2B data provider covers more than 60-75% of contacts. A multi-provider
waterfall chains providers in sequence, each firing only when the previous
returns empty. The result: 85-92% coverage at optimized cost.

This skill covers complete waterfall architecture: 3 separate waterfalls for
company data, email, and phone — each with independently optimized provider
ordering and verification integration.

## Authoritative Foundations
- **DAMA-DMBOK — Data quality dimensions** — Score each provider on accuracy, completeness, validity, and timeliness, not coverage alone.
- **Clay — Waterfall enrichment** — Query providers in sequence and stop at the first validated result to control cost.
- **Google and Yahoo — Bulk sender requirements (2024)** — Validate every email the waterfall returns; bounces and complaints from bad data damage sender reputation.

## When to Use

- "Build an enrichment waterfall"
- "Improve our data coverage"
- "Chain multiple enrichment providers"
- "Design a cost-optimized enrichment pipeline"
- "Set up waterfall enrichment in Clay"

## Step-by-Step Process

### Phase 1: Three Separate Waterfalls
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add leadmagic/gtm-skills/waterfall-enrichment@sha256:b1edc181ec1ec4fd

The line at the top of this page pins the label v1.0.0, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_af6jy67nogfngl7v.svg)](https://markdownregistry.com/a/art_af6jy67nogfngl7v)

5 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 6 versions of this file, between Jun 8, 2026 and Oct 1, 2026, about one every 23 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-10-01 ca0d2ec 5,456 BA view · diff
v1.0.02026-09-02 a19750a 5,416 BA view · diff
v1.0.02026-06-10 e030e67 5,410 BA view · diff
v1.0.02026-06-10 17b6e1f 5,575 BA view · diff
v1.0.02026-06-08 07ce0cd 5,576 BA view · diff
v1.0.02026-06-08 2fb2a99 5,282 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5456 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

GitHub

leadmagic/gtm-skills · 65 stars · license MIT · pushed 2026-10-14 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_af6jy67nogfngl7v
GET https://markdownregistry.com/api/v1/resolve?ref=leadmagic/gtm-skills/waterfall-enrichment
GET https://markdownregistry.com/api/v1/blob/b1edc181ec1ec4fd68784e6b110d98d16ad58e8b0c296a219098f3eb1ebf5bfe

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.

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Every file in leadmagic/gtm-skills

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