linkedin-ads-wasted-spend-and-scaling SKILL.md skillB
linkedin-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/linkedin-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/linkedin-ads/linkedin-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
- 14,788 bytes
- Repository stars
- 40
- License
- MIT
Use for "where am I wasting money on LinkedIn Ads", "which LinkedIn campaigns should I pause", "what should I turn off on LinkedIn", "which LinkedIn campaigns should I scale", "is the LinkedIn Audience Network wasting my money", "clean up my LinkedIn Ads account", or "what do I cut on LinkedIn and where does the money go" — even without the words "waste" or "scale". Also use when someone wants a budget-neutral reallocation proposal for the LinkedIn Ads account. LinkedIn 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
# LinkedIn Ads Wasted Spend and Scaling Finds the LinkedIn campaigns and ads spending without results and shows where to move that money instead. LinkedIn Ads Wasted Spend and Scaling is a Coupler.io AI agent skill that works with live data from LinkedIn Ads. **Finds the LinkedIn Ads spend that isn't earning, proves it's past the point of being early, and says where that money should go instead — as one budget-neutral move.** LinkedIn has no search terms, so there's no negative keyword list to hand over. The waste sits in other places: campaigns and creatives that have spent several times the cost target with nothing to show, Audience Network impressions bought cheaply off LinkedIn that never turn into results, spend buying the same small audience for the sixth and seventh time, and campaigns aimed at the same people bidding against each other. At LinkedIn's click prices, each of these costs real money fast. **What you get back** - **Wasted spend, sized** — campaigns, creatives and placements past the significance floor with nothing to show. - **Saturation spend** — money buying impressions on people who've already seen the ad many times. …
Read the whole file at its exact version.
How to install
mdr add coupler-io/skills/linkedin-ads-wasted-spend-and-scaling@sha256:0f5137f317b2a11eThe 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_y2l6gkapz5tm2kes)
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 | 14,788 B | B | view · diff |
| v1.0.0 | 2026-10-13 | ee6a3a9 | 14,567 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 (14788 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_y2l6gkapz5tm2kes GET https://markdownregistry.com/api/v1/resolve?ref=coupler-io/skills/linkedin-ads-wasted-spend-and-scaling GET https://markdownregistry.com/api/v1/blob/0f5137f317b2a11ef9f43c745bd4b968d8f53cfbab9fc13b9ab7022b1fee04bd
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.