amazon-ads-wasted-spend-and-scaling SKILL.md skillB
amazon-ads-wasted-spend-and-scaling from coupler-io/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add coupler-io/skills/amazon-ads-wasted-spend-and-scaling@v1.0.0Pins 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-wasted-spend-and-scaling/SKILL.md- Versions recorded
- 2
- Latest version
- v1.0.0, committed Oct 21, 2026
- First version recorded
- Oct 13, 2026
- Size
- 14,609 bytes
- Repository stars
- 40
- License
- MIT
Use for "where am I wasting money on Amazon Ads", "find me negative keywords for Amazon", "Amazon search term report analysis", "which Amazon search terms should I harvest", "which Amazon campaigns should I scale", "clean up my Amazon PPC", "which Amazon keywords should I pause", or "what do I cut on Amazon and where does the money go" — even without the words "waste" or "scale". Also use when someone wants a budget-neutral reallocation for the Amazon Ads account. 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 Wasted Spend and Scaling Finds Amazon search terms that spend without selling, builds your negative keyword list, and moves the money to terms that sell. Amazon Ads Wasted Spend and Scaling is a Coupler.io AI agent skill that works with live data from Amazon Ads and Amazon Ads (Unified). **Finds the Amazon Ads search terms and targets spending without selling, builds safe negatives, harvests the winners into their own targeting, and moves the money — as one budget-neutral plan.** Most Amazon waste lives in the search term report: automatic and broad campaigns matching shoppers to queries the product will never sell on, and product-targeting matches onto competitor listings that take clicks and no orders. Most analyses sort by spend and cut the top rows, which removes search terms that were simply early. And the winners are left where they are — sold through a loose campaign at a loose bid, instead of moved into exact targeting where the bid can be set for them. **What you get back** - **Wasted spend, sized** — search terms and product matches past the significance floor with no orders. - **A negative list with match types**, checked against terms that sell. …
Read the whole file at its exact version.
How to install
mdr add coupler-io/skills/amazon-ads-wasted-spend-and-scaling@sha256:989e5c3b743c0496The 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.
[](https://markdownregistry.com/a/art_5x4jwcawrfn2b6pr)
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.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-10-21 | e36545f | 14,609 B | B | view · diff |
| v1.0.0 | 2026-10-13 | ee6a3a9 | 14,344 B | B | view |
Audit of the latest version
- 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 (14609 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
coupler-io/skills · 40 stars · license MIT · pushed 2026-10-30 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_5x4jwcawrfn2b6pr GET https://markdownregistry.com/api/v1/resolve?ref=coupler-io/skills/amazon-ads-wasted-spend-and-scaling GET https://markdownregistry.com/api/v1/blob/989e5c3b743c0496f91b87b34ad866be65586f435c11faf33cbf328556df096d
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.