amazon-ads-new-to-brand-and-halo-sales SKILL.md skillB

amazon-ads-new-to-brand-and-halo-sales from coupler-io/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add coupler-io/skills/amazon-ads-new-to-brand-and-halo-sales@v1.0.0

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

Audit grade
B, 16 of 17 checks passed
Kind
SKILL.md skill
Repository
coupler-io/skills
Path
marketing-and-ads/amazon-ads/amazon-ads-new-to-brand-and-halo-sales/SKILL.md
Versions recorded
2
Latest version
v1.0.0, committed Oct 21, 2026
First version recorded
Oct 13, 2026
Size
14,088 bytes
Repository stars
40
License
MIT

Use for "are Amazon Sponsored Brands worth it", "is Amazon Sponsored Display working", "how many new customers do my Amazon ads bring", "what's my Amazon new-to-brand rate", "are my Amazon ads selling my other products", "is Amazon DSP worth the money", or "why does my Amazon Brands ACOS look so bad" — even when the user never says "new to brand". Covers what upper-funnel Amazon ads are worth beyond ACOS. Amazon Ads only.

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

# Amazon Ads New-to-Brand and Halo Sales

Shows what Sponsored Brands, Display and DSP bring in beyond ACOS, like first-time customers and more searches for your brand. Amazon Ads New-to-Brand and Halo Sales is a Coupler.io AI agent skill that works with live data from Amazon Ads and Amazon Ads (Unified).

**Tells you what Sponsored Brands, Sponsored Display, Sponsored TV and DSP are worth beyond their
ACOS — the new customers they bring, the halo sales across the range, and the shopping behaviour
they start — so they aren't cut for looking expensive next to Sponsored Products.**

Judged on ACOS alone, every upper-funnel Amazon ad product loses to Sponsored Products, and gets
cut. That comparison is rigged: Sponsored Products mostly sells to shoppers already searching for
the product, often existing customers, while Brands, Display and video reach people earlier. Amazon
reports what those ads do that ACOS misses — how many buyers are new to the brand, how much they
sell of the rest of the range, how many shoppers go on to search for the brand by name. The fair
read uses those.

**What you get back**
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add coupler-io/skills/amazon-ads-new-to-brand-and-halo-sales@sha256:aaaf178d418c99f4

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_ihouo2r7ara2oxrk.svg)](https://markdownregistry.com/a/art_ihouo2r7ara2oxrk)

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

Versions

The registry has recorded 2 versions of this file, between Oct 13, 2026 and Oct 21, 2026, about one every 8 days.

versioncommittedcommitsizeaudit
v1.0.0 latest2026-10-21 e36545f 14,088 BB view · diff
v1.0.02026-10-13 ee6a3a9 13,822 BB view

Audit of the latest version

B  16 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • fail: No prompt-injection phrasing (matched: ignore previous instructions)
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (14088 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 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

Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.

Source

GitHub

coupler-io/skills · 40 stars · license MIT · pushed 2026-10-30 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ihouo2r7ara2oxrk
GET https://markdownregistry.com/api/v1/resolve?ref=coupler-io/skills/amazon-ads-new-to-brand-and-halo-sales
GET https://markdownregistry.com/api/v1/blob/aaaf178d418c99f414286a0134b33a7212944f5a3cb12e5f7681e96cd0e8bd22

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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