Skip to content
Back to skills

Mk 181

ASecurity

Remarketing Audience Naming. Use when you need names identifying events, windows, and exclusions; apply this method to the specified inputs and verify the deliverable

  • 259 stars
  • 0 votes
  • 0 copies
  • 2 views
  • Added October 23, 2026
ai-agentsgo

Security analysis

A100/100

Pro scans all 3 files and shows the line behind each finding

Scanned October 23, 2026

npx -y skills add backtrue/thinkwithblack-skill --skill mk-181 --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Mk 181?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Mk 181
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/backtrue-mk-181/badge)](https://www.skillsdirectory.com/skills/backtrue-mk-181)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: mk-181
description: "Remarketing Audience Naming. Use when you need names identifying events, windows, and exclusions; apply this method to the specified inputs and verify the deliverable"
---

# MK-181|Remarketing Audience Naming

For a regular chat, upload `packs/mk-181.md`; it includes the shared rules, this method, and required references

## Purpose

This Skill delivers: **Names identifying events, windows, and exclusions**

Event groups do not necessarily represent the same people dropping off at each stage; verify counting and attribution across data sources

## Required Inputs

Source, event, product/page scope, inclusion window, exclusions, existing naming rules and version/date

## Method Steps

1. Custom audience names should let you and the team quickly understand the source, event, product, and period later
2. Names must distinguish at least VC, ATC, Purchase, website/Page/IG, and the associated product
3. The original course prescribes no unique string format; prioritize readability, maintainability, and clarity

## Calculation and Interpretation

Verify source periods, audience overlap, and exclusions; funnel changes alone do not prove psychological causes

## Required Output Fields

| Order | Field | How to complete |
|---:|---|---|
| 1 | Proposed name string | Use the supplied source, calculation, or explicit unknown |
| 2 | Event and source | Use the supplied source, calculation, or explicit unknown |
| 3 | Product or page scope | Use the supplied source, calculation, or explicit unknown |
| 4 | Inclusion window | Use the supplied source, calculation, or explicit unknown |
| 5 | Exclusions | Use the supplied source, calculation, or explicit unknown |
| 6 | Version or update date | Use the supplied source, calculation, or explicit unknown |
| 7 | Duplicate-name and ambiguity check | Use the supplied source, calculation, or explicit unknown |

## Verification cases

**MK-181-A1 | Same event, different windows**

Expected: Include windows in names so the groups remain distinguishable

## Method Sources

Original file: Meta廣告學程 102 為什麼這些人不買

Source location: Shopping cart

Source basis: Derived from course material

Original URL: https://docs.google.com/presentation/d/1VZM1BFp_CiefpdHFrSRKIDim5oOKHh52w6D5RUXi-Nc/edit

English translation of source excerpt retained in the master table:

> Cart abandonment rate

Files in this skill

  • SKILL.md2.3 KB
  • assets/check-context.py14.6 KB
  • assets/context-contract.json13.9 KB

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

View all in ai-agents →

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.