tiktok-ads-audience-targeting-analysis SKILL.md skillB
tiktok-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/tiktok-ads-audience-targeting-analysis@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/tiktok-ads/tiktok-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
- 13,832 bytes
- Repository stars
- 40
- License
- MIT
Use for "which audiences are working on TikTok", "is interest targeting worth it", "should I just go broad", "who is actually converting", "which age group should I bid on", "are my behaviour segments earning their spend", or "is my targeting or my creative doing the work" — even when the user never says "audience". This is the who-converts read: which segments earn their spend and whether targeting is buying anything the creative was not already buying. TikTok 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
# TikTok Ads Audience Targeting Analysis Shows which TikTok audiences bring results and whether your targeting does better than simply going broad. TikTok Ads Audience Targeting Analysis is a Coupler.io AI agent skill that works with live data from TikTok Ads. **Tells you which audiences earn their spend on TikTok, and whether your targeting is doing any work the creative was not already doing.** TikTok is the one major platform where the honest answer to "which audience should I target" is often "none of them". Delivery is creative-led: the same video handed to a tight interest stack and to broad frequently lands on similar people at similar cost, and the tight stack pays a premium for the privilege. But nobody can prove that from Ads Manager, because the interface shows what was targeted, not what was reached — and those are different things once the system starts optimising. Meanwhile the audience report holds age, gender, interest and behaviour breakdowns that most accounts never open. **What you get back** - **A segment table ranked on cost per result**, not on volume, with the volume floor stated so you know which lines are real. …
Read the whole file at its exact version.
How to install
mdr add coupler-io/skills/tiktok-ads-audience-targeting-analysis@sha256:d1013b767cc4a6ccThe 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_5cgaqujaqbwxb5kb)
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 | 13,832 B | B | view · diff |
| v1.0.0 | 2026-10-13 | ee6a3a9 | 13,611 B | B | view |
Audit of the latest version
- fail: No prompt-injection phrasing (matched: Do not tell the user)
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (13832 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_5cgaqujaqbwxb5kb GET https://markdownregistry.com/api/v1/resolve?ref=coupler-io/skills/tiktok-ads-audience-targeting-analysis GET https://markdownregistry.com/api/v1/blob/d1013b767cc4a6ccf653391c2a221ebd487e6f9d876b331661363ab9dbb1b9d3
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.