ads-optimize
Diagnose and draft or explicitly apply paid-ad optimizations using evidence, financial constraints, experiments, and capability-gated adapters. Use for campaign optimization, budget reallocation, bid changes, pausing or archiving ads, requests to delete campaigns, search-term or negative-keyword actions, creative rotation, or improving CPA and ROAS.
git clone --depth 1 https://github.com/AgriciDaniel/claude-ads /tmp/ads-optimize && cp -r /tmp/ads-optimize/skills/ads-optimize ~/.claude/skills/ads-optimizeSKILL.md
# 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. 2. Identify the decision and causal evidence; do not optimize a metric in isolation. 3. Compare no-change, experiment, and mutation options, including learning, policy, tracking, inventory, and opportunity-cost effects. 4. Produce ranked recommendations with confidence and success measures. 5. Convert approved recommendations into mutation plans only through the main mutation gate. 6. 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.
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.
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.
Audit Apple Ads measurement, AdServices and AdAttributionKit, campaign and keyword structure, Search Match, App Store placements, custom product pages, bidding, budgets, MMP reconciliation, and policy. Use for Apple Ads, Apple Search Ads, App Store ads, Search Match, custom product pages, AdServices, or Apple app-install campaigns.
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.
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.
Plan and review paid-media budgets, bidding, pacing, marginal return, forecasts, CPA, ROAS, MER, LTV:CAC, constraints, and allocation across supported platforms. Use for ad budget allocation, media budget, bidding strategy, scaling, spend pacing, budget forecast, ROAS target, or investment tradeoffs.
Research competitor paid-ad presence, messaging, creative, formats, landing pages, keyword and auction signals, transparent ad libraries, and strategic gaps across supported platforms. Use for competitor ads, ad libraries, ad spy, competitive PPC analysis, competitor creative, Google Ads Transparency, Meta Ad Library, or paid-media competitor research.
Create source-grounded paid-ad campaign concepts, messaging, copy, creative briefs, and production plans from a validated brand profile, campaign objective, platform requirements, and optional audit evidence. Triggers on: campaign brief, campaign concepts, create a campaign, ad concepts, ad copy, ad messaging, creative brief, headlines, descriptions.