agricidaniel/claude-ads

ads-optimize

Diagnose and draft or explicitly apply paid-ad optimizations using evidence, financial constraints, experiments, and capability-gated adapters.

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Paid Media Optimization

Default to --draft.

  1. Load the latest normalized snapshot, prior decisions, monitoring results,

experiment state, conversion lag, economics, and platform capability manifest.

  1. Identify the decision and causal evidence; do not optimize a metric in isolation.
  2. Compare no-change, experiment, and mutation options, including learning, policy,

tracking, inventory, and opportunity-cost effects.

  1. Produce ranked recommendations with confidence and success measures.
  2. Convert approved recommendations into mutation plans only through the main

mutation gate.

  1. Apply, verify, audit, and retain rollback only when the exact operation is

enabled and remote state still matches the draft precondition.

Never use a fixed CPA multiple, budget ratio, benchmark, or novelty claim as sole authorization to change an account.

Destructive-action boundary

Refuse permanent deletion of campaigns, ad groups, ads, audiences, conversions, or other account objects. Permanent deletion is outside the supported mutation contract and cannot be made safe by confirmation. Offer reversible alternatives: leave objects paused, archive where supported, apply labels, export a backup, and define a retention or later-review date. Do not create or apply a delete plan.

Search-term actions require a search terms report, business-relevance evidence, and an overblocking review. Without them, request the missing evidence and do not invent or illustrate specific negative keywords.

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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.

安装量
1
GitHub Stars
9437
最近更新
9月18日
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Audit Amazon Ads profiles, regions, Sponsored Products, Sponsored Brands, Sponsored Display, DSP, portfolios, targeting, search terms, retail readiness, creative, budgets, ACOS, TACOS, reporting, and policy. Use for Amazon Ads, sponsored ads, Amazon PPC, ACOS, TACOS, ASIN advertising, Amazon DSP, or retail-media optimization.

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9437
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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.

安装量
1
GitHub Stars
9437
最近更新
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agricidaniel
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ads-audit

Run a source-grounded paid-advertising audit for one or more of Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for full ad checks, account health reviews, paid-media diagnostics, partial audits after authentication or worker failure, missing-platform weighting, beta-feature eligibility and scoring, spend audits, tracking audits, or prioritized opportunities and risks.

安装量
1
GitHub Stars
9437
最近更新
9月18日