free-skills

Add conversion measurement to a live ChatGPT Ads campaign - choose between the OpenAI Conversions API (server-side) and the JavaScript Pixel (client-side), define the events that matter, and roll out without delaying launch. Use when setting up ChatGPT Ads tracking, CAPI vs pixel decisions, measuring leads/signups/purchases from ChatGPT Ads, or moving from CTR optimization to conversion-based optimization.

Build, review, and scale a ChatGPT Ads campaign from your existing Google/Meta/Microsoft text ads and website. Use when launching ChatGPT Ads, building a ChatGPT Ads campaign workbook, repurposing existing search/social ads for ChatGPT, writing context hints (not keywords), or scaling to 100+ upload-ready ads. Covers the full 9-step golden-path workflow with copy-paste prompts.

Comparing ad-platform performance with CRM; attribution gaps; 'ad platform shows conversions but CRM shows zero'; UTM/pixel issues; last-click vs data-driven. Covers data-source hierarchy and gap diagnosis.

Defining GTM metrics, pipeline efficiency, AI cost metrics, TTFV, CAC/LTV/NRR, magic number, attribution models, weekly review cadence.

Multi-platform product launches: Product Hunt, Hacker News, BetaList, AppSumo, waitlist, launch day, multi-channel rollout — pre-launch through post-launch.

SPEAR loop for any non-trivial agent task — Scope, Plan, Execute, Assess, Resolve. Prevents the strong-start-weak-finish failure mode by forcing an explicit MECE rubric and a Plan→Execute→Assess inner loop until the rubric passes.

Spec-driven dev workflow. Invoke before implementing any feature or fixing any bug — spec lookup, clarifications, plan approval.

Generates Google Ads RSA headlines, descriptions, and ad variations. Use for creating new ads, A/B testing copy, or refreshing underperforming ads.

Detect, predict, and resolve ad creative fatigue across platforms. Use when analyzing frequency vs CTR decay, predicting creative lifespan, planning rotation strategies, or calculating statistical significance for A/B tests.

Checks ad creative and landing pages against platform advertising policies for Google, Meta, LinkedIn, TikTok, and Reddit. Use when pre-checking ads for policy compliance, fixing rejected ads, reviewing restricted content, or navigating industry-specific ad rules.

Optimize Amazon Sponsored Products, Brands, and Display campaigns with ACOS/TACOS analysis, search term mining, and bid strategies. Use when optimizing Amazon Ads, analyzing ACOS, mining search terms, structuring campaigns, or selecting bid strategies.

Statistical anomaly detection in campaign metrics. Use when detecting spend spikes, CTR drops, budget runaway, metric outliers, or configuring automated alert thresholds.

Multi-touch attribution modeling for advertising campaigns. Use when analyzing conversion paths, comparing attribution models, implementing data-driven attribution, or understanding assisted conversions.

Builds audience expansion strategies with lookalike audiences, seed optimization, layering, and exclusions across platforms. Use when expanding audiences, building lookalikes, setting up exclusion lists, or optimizing audience targeting.

Recommends bid adjustments based on performance data. Use for CPC optimization, budget allocation, ROAS improvement, day-parting, device modifiers, and audience bid strategies.

Cross-platform budget optimizer that reallocates spend based on ROAS across Google, Meta, LinkedIn, X, Reddit, TikTok, Amazon, The Trade Desk, and Amazon DSP. Use for budget reallocation, ROAS optimization, or cross-platform spend efficiency.

Runs pre-flight checks on ad campaigns before launching. Use when creating campaigns, reviewing campaign settings, or before enabling paused campaigns. Checks geo targeting, exclusion lists, tracking setup, and budget settings.

Audits Google Ads account structure including ad group strategy, keyword duplication, match type distribution, and naming conventions. Use when auditing campaigns, reviewing account structure, finding duplicate keywords, or checking naming conventions.

Analyzes competitor advertising strategies using Facebook Ads Library. Use for competitive research, creative inspiration, and market positioning.

Cross-platform creative A/B testing for ads across Google, Meta, LinkedIn, X, Reddit, TikTok, and Amazon. Use for creative testing, ad variant analysis, winner selection, and performance comparison.

Deploys campaigns to multiple ad platforms simultaneously (Google, Meta, LinkedIn, X, Reddit, TikTok, Amazon, The Trade Desk, Amazon DSP). Use for launching unified campaigns, multi-channel rollouts, or synchronized campaign deployment.

Analyzes hour-of-day and day-of-week performance to create bid schedules and dayparting strategies. Use when optimizing ad schedules, analyzing time-based performance, setting bid modifiers, or creating dayparting heat maps.

C-suite advertising reports with narrative insights, YoY/MoM comparisons, blended ROAS, pacing analysis, and visualization recommendations. Use when creating executive summaries, board reports, monthly ad performance reviews, or generating narrative insights from campaign data.

Post-cookie first-party data collection, Enhanced Conversions, server-side tracking, consent mode, and privacy-preserving measurement. Use when setting up Enhanced Conversions, server-side tagging, consent mode v2, CDP integration, or planning for cookie deprecation.

Analyze and improve Google Ads Quality Score components. Use when diagnosing high CPCs, improving Ad Rank, analyzing Expected CTR, Ad Relevance, and Landing Page Experience, or benchmarking QS by industry.

Optimize Google Shopping product feeds, fix Merchant Center disapprovals, and structure Shopping/PMax campaigns. Use when optimizing product titles, fixing disapprovals, managing supplemental feeds, custom labels, or comparing Shopping vs PMax.

Design and execute incrementality tests for advertising campaigns. Use when measuring true lift from ads, designing geo holdout tests, running conversion lift studies, calculating statistical significance, or determining optimal test duration.

Finds low-competition, high-intent keywords using Google Keyword Planner and adds them to campaigns. Use when asked to find keywords, expand campaigns, or improve PPC targeting.

Whether to kill or scale a campaign / ad set / creative. Covers kill thresholds with minimum-data guardrails and platform-specific scaling budget-step limits.

Klaviyo email/SMS — campaigns, lists, segments, flows, audience sync, event tracking. Load before `run_ppc_script platform="KLAVIYO"`.

Optimizes landing pages for ad campaigns including message match, form design, page speed, and CTA placement. Use when reviewing landing pages, improving conversion rates, auditing message match, or optimizing forms.

B2B advertising strategy on LinkedIn with job title targeting, ABM, lead gen forms, and cost benchmarks. Use when building LinkedIn Ads audiences, comparing ad formats, setting up ABM targeting, optimizing lead gen forms, or estimating LinkedIn Ads costs.

Creates full media plans with channel mix, budget allocation, CPM/CPC/CPA projections, and reach estimates. Use when building media plans, allocating ad budgets, estimating reach/frequency, or planning campaign flights.

Diagnose and fix Meta Ads performance issues including Learning Phase, creative fatigue, audience overlap, and Advantage+ optimization. Use when troubleshooting Meta campaigns, analyzing CPM spikes, diagnosing delivery issues, or comparing campaign structures.

MMM (Google Meridian) — budget optimization, revenue projections, channel ROI, scenario planning.

Generates cross-channel advertising reports and performance summaries. Use for campaign analysis, budget reviews, and executive reporting.

Mine, categorize, and manage negative keywords from search term reports. Use when analyzing search queries, building negative keyword lists, detecting match type bleeding, or resolving cross-campaign keyword conflicts.

Optimize Google Ads Performance Max campaigns including asset groups, audience signals, search term insights, and channel allocation. Use when managing PMax campaigns, analyzing asset performance, configuring audience signals, or optimizing product feeds.

Audit pixel and Conversions API (CAPI) implementations across all ad platforms. Use when verifying tracking setup, diagnosing conversion data discrepancies, optimizing Event Match Quality, or auditing deduplication logic.

CPM/CPA/CPC/ROAS benchmarks; cross-platform budget split; 2025-2026 figures for Google/Meta/TikTok/LinkedIn/YouTube.