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by Agrici.Danielagricidaniel/claude-ads9.7k stars
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Operate professional paid advertising across Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for account intake, source-grounded audits, strategy, budget and measurement planning, creative production, experiments, reporting, monitoring, and explicitly approved campaign changes. Also trigger on PPC, paid social, retail media, attribution, tracking, landing pages, cross-platform conversion totals, negative keywords or search terms, beta-feature scoring, stale platform claims, API-token or credential setup, campaign deletion, and safe Claude Ads installation or uninstall.

Use this Skill: https://skilld.dev/gh/agricidaniel/claude-ads/ads

This session only. Nothing lands on disk.

referencesconversion-tracking.md

≈1.4k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Conversion Tracking and Measurement

Verified: 2026-08-26 Refresh due: 2026-09-25 for platform documentation Evidence status: architecture and audit questions; implementation is account-specific

Tracking is acceptable only when the business event, consent state, browser and server paths, platform configuration, and downstream business record reconcile. The presence of a tag or API connection is not proof of accurate measurement.

Canonical event contract

For every optimization and reporting event, record:

  • Stable event name and business definition.
  • Event time, timezone, source, and unique event ID.
  • Order, lead, or opportunity ID where lawful and appropriate.
  • Currency and value definition, including refunds and cancellations.
  • Browser/server/offline origin and deduplication key.
  • Consent state and allowed processing purpose.
  • Platform conversion action, primary/secondary role, counting behavior, attribution window, and inclusion in bidding.
  • CRM acceptance state and reconciliation result.

Do not send unnecessary personal or sensitive data. Hashing is not consent and does not make otherwise prohibited collection lawful.

Platform evidence

Platform Current first-party source What it supports
Google Ads google-consent-modeling-official: Consent mode modeling and google-consent-modeling-improvement-official: impact results Modeling and impact reporting use eligibility thresholds; inspect the active setup and diagnostics instead of inventing an unpublished number
TikTok Ads tiktok-events-api-official — About Events API TikTok recommends Pixel plus Events API with event deduplication for web conversion clients
LinkedIn Ads linkedin-conversions-api-official — Conversions API Playbook Browser and server conversion sources require deliberate reporting setup
Microsoft Advertising microsoft-uet-official — UET setup UET setup, page coverage, verification, and troubleshooting

For Meta, Apple, Amazon, Reddit, Pinterest, Snapchat, X, and any platform detail not represented by a current source-ledger entry, inspect the current official account documentation and capability manifest during the run. Do not reuse a different platform's event names or requirements by analogy.

Google's current consent-mode modeling page lists correct consent mode or IAB TCF implementation and a daily threshold of 700 ad clicks over seven days per country/domain grouping among its quality checks. The separate current impact-results page says additional volume and modeling thresholds apply, but it does not publish another numeric click threshold. Do not infer one. These are eligibility facts, not a universal minimum account budget or a guarantee of modeled conversions. Use the active configuration and current diagnostics.

Audit sequence

  1. Trace one real test event from user action to browser request, server request, platform receipt, deduplication, report, and CRM record.
  2. Compare totals by event date and processing date over a lag-mature window.
  3. Inspect duplicates, missing IDs, invalid values/currencies, clock skew, and events arriving before valid consent.
  4. Confirm only intended business outcomes influence bidding.
  5. Test refunds, cancellations, offline status changes, cross-domain flows, and payment-provider redirects where applicable.
  6. Record platform diagnostics as vendor observations, then verify with raw payload logs and business records where access permits.

Deduplication

Browser and server copies of the same business action must share the platform's documented deduplication fields. Do not invent a universal field mapping. Check:

  • Same action produces one accepted platform conversion.
  • Distinct actions do not collide on an ID.
  • Retries are idempotent.
  • Late offline updates do not create a second sale or lead.
  • Deduplication survives cross-domain and payment flows.

Attribution and reconciliation

Keep these views separate:

  • Platform-attributed conversions for delivery diagnostics.
  • Analytics attribution for journey analysis.
  • CRM/accounting outcomes for accepted business value.
  • Experiment or model estimates for incrementality.

Never sum platform-attributed conversions across platforms as though they were unique people or incremental outcomes. Disclose attribution windows, view-through treatment, identity resolution, consent exclusions, and conversion lag.

Severity guidance

Critical findings require observed impact, such as no primary event, confirmed double counting, unauthorized sensitive-data transmission, materially wrong value/currency, or bidding against a non-business event. A missing server-side integration alone is an opportunity or coverage gap unless a current platform requirement or observed measurement loss makes it more severe.

Completion evidence

A tracking review is complete only when it identifies tested events, environments, time window, consent states, payload evidence, platform diagnostics, CRM reconciliation, gaps, confidence, and an owner for remediation. Never infer health from configuration screenshots alone.

Source: SKILL.md on GitHub

1 alert16d5 checks · Risk SAFE
  • Gen Agent Trust Hub16d

    The skill provides a set of markdown-based reference documents, policies, and guidelines for managing multi-platform paid advertising campaigns. No source code, executables, external scripts, or malicious injection attempts were detected in any of the audited files.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: LOW · No issues

  • Runlayer6mo

    9/19 files flagged

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

Signed by skilld at c046344. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 3 weeks ago.

Activeupdated 3 weeks ago

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