bing-ads-audience-targeting-analysis SKILL.md skillB

bing-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.

Install it, pinned
mdr add coupler-io/skills/bing-ads-audience-targeting-analysis@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/microsoft-ads/bing-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
13,600 bytes
Repository stars
40
License
MIT

Use for "which audiences are working on Microsoft Ads", "is LinkedIn profile targeting worth it on Bing", "which industries or job functions convert on Microsoft Ads", "is remarketing worth it on Bing", "which age group should I bid up on Microsoft Ads", "are my in-market audiences earning their spend on Bing", or "should my Bing audiences be bid only" — even when the user never says "audience". This is the who-converts read, including the LinkedIn profile cuts no other search platform reports.

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

# Microsoft Bing Ads Audience Targeting Analysis

Shows which Microsoft Ads audiences bring results, including LinkedIn job and industry targeting, and how to set your bids. Microsoft Bing Ads Audience Targeting Analysis is a Coupler.io AI agent skill that works with live data from Microsoft Ads (Bing Ads).

**Tells you which Microsoft Ads audiences earn their spend — remarketing, in-market, age and gender,
and the LinkedIn profile cuts by company, industry and job function — and what bid each deserves.**

Microsoft Ads is the only search platform that reports performance by LinkedIn profile: the
company, industry and job function of the person searching. For a B2B account that's the most
valuable cut in the platform, and it's usually ignored because the rows are sparse and the report
isn't in the dataflow. Audience lists have a trap of their own: a list set to "bid only" doesn't
restrict anything, so its numbers are the overlap of that list with traffic the keywords would have
bought anyway — which changes what a good result means.

**What you get back**

- **Every audience against the campaign it sits in** — cost per conversion and return, with the
  targeting setting stated.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add coupler-io/skills/bing-ads-audience-targeting-analysis@sha256:cc55fea6ebc3ea69

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_cuxldoaouyqr5tgn.svg)](https://markdownregistry.com/a/art_cuxldoaouyqr5tgn)

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 13,600 BB view · diff
v1.0.02026-10-13 ee6a3a9 13,340 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 (13600 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_cuxldoaouyqr5tgn
GET https://markdownregistry.com/api/v1/resolve?ref=coupler-io/skills/bing-ads-audience-targeting-analysis
GET https://markdownregistry.com/api/v1/blob/cc55fea6ebc3ea69c538ae05282418222b871fafc0d870c0445325c2453bc9ef

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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