Agent skill

adattributionkit

Measure ad effectiveness with privacy-preserving attribution using AdAttributionKit. Use when registering ad impressions, handling attribution postbacks, updating conversion values, implementing re-engagement attribution, configuring publisher or advertiser apps, or replacing SKAdNetwork with AdAttributionKit for ad measurement.

Derek Pearson935★ · +23/wk · 1 repos on radarProfile →
claude-codecodexcursorNOASSERTION
Install
npx skills add dpearson2699/swift-ios-skills --skill adattributionkit --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 3
SKILL.md size: 14 KB
Bundled scripts: none
Path: skills/adattributionkit/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 963 · +28 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# AdAttributionKit Privacy-preserving ad attribution for iOS 17.4+. AdAttributionKit lets ad networks measure conversions (installs and re-engagements) without exposing user-level data. It supports the App Store and alternative marketplaces, and interoperates with SKAdNetwork. Three roles exist in the attribution flow: the **ad network** (signs impressions, receives postbacks), the **publisher app** (displays ads), and the **advertised app** (the app being promoted). ## Contents - [Overview and Privacy Model](#overview-and-privacy-model) - [Publisher App Setup](#publisher-app-setup) - [Advertiser App Setup](#advertiser-app-setup) - [Impressions](#impressions) - [Postbacks](#postbacks) - [Conversion Values](#conversion-values) - [Re-engagement](#re-engagement) - [Common Mistakes](#common-mistakes) - [Review Checklist](#review-checklist) - [References](#references) ## Overview and Privacy Model AdAttributionKit preserves user privacy through several mechanisms: - **Crowd anonymity tiers** -- the device limits postback data granularity based on the crowd size associated with the ad, ranging from Tier 0 (minimal data) to Tier 3 (most data including publisher ID and country code). - **T

What's inside
Steps it walks through
  1. Contents
  2. Overview and Privacy Model
  3. Publisher App Setup
  4. Add ad network identifiers
  5. Display a UIEventAttributionView
  6. Advertiser App Setup
  7. Opt in to receive winning postback copies
  8. Opt in for re-engagement postback copies
  9. Update conversion value on first launch
  10. Impressions
  11. Create an impression from a JWS
  12. Check device support
  13. View-through impressions
  14. Click-through impressions
Ships with 2 files
  • evals/evals.json
  • references/adattributionkit-patterns.md
More from swift-ios-skills
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About this skill
What does the adattributionkit skill do?

Measure ad effectiveness with privacy-preserving attribution using AdAttributionKit. Use when registering ad impressions, handling attribution postbacks, updating conversion values, implementing re-engagement attribution, configuring publisher or advertiser apps, or replacing SKAdNetwork with AdAttributionKit for ad measurement.

How do I install it?

Run `npx skills add dpearson2699/swift-ios-skills --skill adattributionkit --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From dpearson2699/swift-ios-skills, a repository with 963 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going