AGENT SKILLBY AGRICIDANIEL
Cross-platform attribution health audit
AT A GLANCE
Cross-platform attribution health audit is an agent skill for analytics. Cross-platform attribution health audit covering AdAttributionKit (iOS view-through 24h post-impression, WWDC 2025 configurable windows), GA4 attribution models. It is published by agricidaniel in the agricidaniel/claude-ads GitHub repository (6.8K stars) under the MIT license. Install it with: npx skills add agricidaniel/claude-ads --skill ads-attribution
- SOURCE REPOSITORY
- agricidaniel/claude-ads (opens GitHub in a new tab)
- REPO STARS
- SOURCE REPOSITORY
- LICENSE
- MIT
- SKILL.MD SIZE
- 1.5 KB28 LINES
QUICK ANSWER
- WHAT IT IS01
- Cross-platform attribution health audit covering AdAttributionKit (iOS view-through 24h post-impression, WWDC 2025 configurable windows), GA4 attribution models (data-driven vs last-click), Consent Mode V2 enforcement, server-side attribution stitching, MMP integration health, and cross-device / cross-platform attribution. It stands out by giving conversion optimization a defined shape, so the agent asks for better context and returns a more usable result.
- INPUTS02
- Context for conversion optimization: your goals, audience, constraints, and any source material the skill asks for.
- OUTPUT03
- A ready-to-use result for conversion optimization: the analysis, copy, or recommendations the agent produces.
INSTALL
One command adds this skill from its source repository.
npx skills add agricidaniel/claude-ads --skill ads-attributionREAD THE SKILL.MD BELOW BEFORE YOU RUN IT. SKILLS INSTRUCT YOUR AGENT.
SKILL.MD
The full file, as published in the source repository. Copy it, download it or open it on GitHub.
Attribution Audit#
- Read the main
adscontract and normalized account snapshots. - Declare the business conversion, value, data window, timezone, currency, and decision the attribution analysis must support.
- Inventory every browser, server, platform, analytics, MMP, offline, and app attribution source with its identity, counting, deduplication, and privacy rules.
- Reconcile comparable events and explain differences caused by eligibility, view-through rules, consent, modeled data, conversion lag, thresholds, or scope.
- Separate measurement quality from platform-reported performance.
- Return findings, contradictions, confidence, missing evidence, and a measurement improvement plan through the common JSON contract.
Do not assume one platform is ground truth, add incompatible reports together, or recommend an attribution model without the operator's decision context.
Comparability gate#
Reject aggregation until the sources share, or are explicitly normalized to, the same conversion event and value definition, attribution window, click/view scope, counting method, deduplication identity, timezone, currency, attribution model, and modeled-data treatment. Until then, report the values side by side with their definitions; do not compute a total.
Example: Meta seven-day conversions and Google thirty-day conversions are incompatible. Refuse to add them, reconcile windows and definitions first, and only aggregate a newly comparable dataset.
FAQ
06 QUESTIONS
01What is the Cross-platform attribution health audit agent skill?
Cross-platform attribution health audit covering AdAttributionKit (iOS view-through 24h post-impression, WWDC 2025 configurable windows), GA4 attribution models (data-driven vs last-click), Consent Mode V2 enforcement, server-side attribution stitching, MMP integration health, and cross-device / cross-platform attribution. It is listed under analytics and paid ads in the 100xLab agent skills directory.
02How do I install Cross-platform attribution health audit in Cursor, Claude Code, or Codex?
Run npx skills add agricidaniel/claude-ads --skill ads-attribution in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only Cross-platform attribution health audit, not every skill in the repository.
03Which agents can use Cross-platform attribution health audit?
Cross-platform attribution health audit installs with the cross-agent skills installer (npx skills add), which sets it up for agents such as Claude Code, Cursor and Codex. Each agent loads the SKILL.md when you ask for the skill by name.
04What license is Cross-platform attribution health audit under?
The agricidaniel/claude-ads repository declares the MIT license. Read the license file in the repository before you copy or redistribute the skill.
05Is Cross-platform attribution health audit free to use?
Reading, copying and installing Cross-platform attribution health audit costs nothing: it is published in a public GitHub repository under the MIT license. Reuse and redistribution follow that license.
06Where is the source of Cross-platform attribution health audit?
Cross-platform attribution health audit comes from https://github.com/agricidaniel/claude-ads, which has 6.8K GitHub stars. The SKILL.md is at https://github.com/agricidaniel/claude-ads/blob/HEAD/skills/ads-attribution/SKILL.md. The author is agricidaniel.
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ATTRIBUTION
Cross-platform attribution health audit was written by its original authors and is published in agricidaniel/claude-ads (opens GitHub in a new tab) under the MIT license. All rights stay with the original authors.
100xLab did not write, maintain or endorse this skill. This page lists it for discovery. Repo stars belong to the source repository, not to the skill. Review any skill before you install it.