audience-targeting SKILL.md skillA
audience-targeting from skillmedev/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add skillmedev/skills/audience-targeting@git:20261005.bea4ea5Pins git:20261005.bea4ea5 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- skillmedev/skills
- Path
skills/audience-targeting/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261005.bea4ea5, committed Oct 5, 2026
- First version recorded
- Jul 5, 2026
- Size
- 8,027 bytes
- Repository stars
- 19
- License
- MIT
Builds and refines audience and segment targeting for paid campaigns - first-party audience construction, lookalike expansion, exclusion lists, platform sizing floors, and saturation diagnosis - and delivers a filled targeting matrix per campaign. Use when someone asks "who should I target with these ads", "why is my ad set stuck in learning", "my CPMs keep rising but conversions are flat", "should I use a 1% or 5% lookalike", or is launching a campaign, diagnosing poor reach quality, or…
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
# Audience Targeting A perfect ad shown to the wrong audience converts poorly, and the most common budget leak in paid media is not bad creative - it is unexcluded customers, oversized lookalikes, and ad sets too small to ever exit the learning phase. This skill defines who sees the ad, in what order audiences get built, and when an audience is exhausted. Targeting work begins before creative work and gets revisited monthly as audiences saturate. ## Operating procedure ### Step 1: Gather inputs Collect before recommending any audience. Label estimates as guesses. - Platform(s) and monthly budget per platform. - Campaign objective: acquisition, retargeting, or retention. - First-party assets available: CRM customer list (with LTV field if it exists), site traffic volume by page type, email engagement data. - Target CAC or CPA, and the conversion event being optimized. - Prior campaign learnings: known bad segments, past winning audiences. ### Step 2: Build first-party audiences before anything else …
Read the whole file at its exact version.
How to install
mdr add skillmedev/skills/audience-targeting@sha256:35bfa0458c0b9872The line at the top of this page pins the label git:20261005.bea4ea5, 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_k5suothlgo2kqu42)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jul 5, 2026 and Oct 5, 2026, about one every 46 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261005.bea4ea5 latest | 2026-10-05 | bea4ea5 | 8,027 B | A | view · diff |
| git:20260705.a28c4ce | 2026-07-05 | a28c4ce | 7,987 B | A | view · diff |
| git:20260705.acb5571 | 2026-07-05 | acb5571 | 8,033 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 (8027 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
skillmedev/skills · 19 stars · license MIT · pushed 2026-10-13 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_k5suothlgo2kqu42 GET https://markdownregistry.com/api/v1/resolve?ref=skillmedev/skills/audience-targeting GET https://markdownregistry.com/api/v1/blob/35bfa0458c0b9872ed06d3aa62329d5dd7387a2573306cd122ab01600a4f7910
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.