mcpbeat

Ads Attribution

agricidaniel/ads-attribution

Audit cross-platform attribution, conversion definitions, reporting windows, GA4, AdServices and AdAttributionKit, MMPs, browser and server events, offline conversions, and platform reconciliation. Use for attribution audit, attribution models, conversion windows, requests to add or total Meta and Google conversions, incompatible reporting-window aggregation, GA4 attribution, MMP review, AppsFlyer, Adjust, Branch, Singular, or cross-platform discrepancies.

498 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
7798
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/AgriciDaniel/claude-ads --skill ads-attribution

The instruction itself

2 sections, as written by the author

Attribution Audit

  • Read the main ads contract 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.

How to use it

Copy the folder

Take agricidaniel/ads-attribution from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.