facebook-ads-audience-targeting-analysis SKILL.md skillA
facebook-ads-audience-targeting-analysis 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/facebook-ads-audience-targeting-analysis@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- coupler-io/skills
- Path
marketing-and-ads/facebook-ads/facebook-ads-audience-targeting-analysis/SKILL.md- Versions recorded
- 2
- Latest version
- v1.0.0, committed Oct 21, 2026
- First version recorded
- Oct 13, 2026
- Size
- 10,998 bytes
- Repository stars
- 40
- License
- MIT
Use for "which audiences are working on Meta", "is my lookalike better than broad", "is retargeting worth it", "who is actually converting", "should I still be running interest targeting", "which age group should I bid on", or "my audiences feel tired" — even when the user never says "audience". This is the targeting read: which audiences earn their spend and which are paying for the same people twice. Meta / Facebook 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
# Facebook Ads Audience Targeting Analysis Shows which Meta audiences bring results and which ones are paying to reach the same people twice. Facebook Ads Audience Targeting Analysis is a Coupler.io AI agent skill that works with live data from Facebook Ads (Meta Ads). **Tells you which audiences earn their spend, and which ones you are paying twice to reach.** Meta will not tell you which audience a result came from. There is no audience column in the reporting layer — targeting is a setting, not a dimension — so the only record of what an ad set was aimed at is the name somebody typed when they built it. That means an honest audience analysis has to start by admitting what it is reading, and most audience reporting quietly does not. **What you get back** - **Cost per result by audience group**, built from the ad set naming convention, with the convention stated so you can see what was assumed. - **Prospecting against retargeting**, with the caveat that retargeting is measured on demand someone else created — it always looks cheaper and rarely is. - **Age and gender performance** with bid-adjustment candidates, and a minimum-volume floor so you are …
Read the whole file at its exact version.
How to install
mdr add coupler-io/skills/facebook-ads-audience-targeting-analysis@sha256:b1b946e916d8a085The 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_n5l5emr56rs2jxto)
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 | 10,998 B | A | view · diff |
| v1.0.0 | 2026-10-13 | ee6a3a9 | 10,770 B | A | view |
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 (10998 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
coupler-io/skills · 40 stars · license MIT · pushed 2026-10-30 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_n5l5emr56rs2jxto GET https://markdownregistry.com/api/v1/resolve?ref=coupler-io/skills/facebook-ads-audience-targeting-analysis GET https://markdownregistry.com/api/v1/blob/b1b946e916d8a08571136d6fd1322db58ba06e1981013d884cc5121514865b8f
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.