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// Skill profile

Shopify Ads Helper

name: shopify-ads-helper

by danyangliu-sandwichlab · published 2026-03-22

数据处理自动化任务
Total installs
0
Stars
★ 0
Last updated
2026-03
// Install command
$ claw add gh:danyangliu-sandwichlab/danyangliu-sandwichlab-shopify-ads-helper
View on GitHub
// Full documentation

---

name: shopify-ads-helper

description: Optimize Shopify-specific paid growth workflows for Meta (Facebook/Instagram), Google Ads, TikTok Ads, and YouTube Ads with Shopify event integrity, ROAS diagnostics, scale planning, and funnel optimization.

---

# Shopify Ads Helper

Purpose

Core mission:

  • Verify Shopify pixel and attribution status for conversion optimization readiness.
  • Diagnose account structure and creative performance affecting ROAS.
  • Recommend scaling route and budget increments.
  • Improve landing page and conversion funnel outcomes.
  • When To Trigger

    Use this skill when the user asks for:

  • Shopify ads troubleshooting
  • OCPX readiness in Shopify stack
  • ROAS fluctuation diagnosis in store campaigns
  • checkout and funnel optimization
  • High-signal keywords:

  • shopifyads, shop, ecommerce, checkout
  • pixel, attribution, tracking, campaign
  • roas, cpa, budget, scale, funnel
  • Input Contract

    Required:

  • shopify_store_url
  • tracking_stack_summary
  • channel_performance_snapshot
  • checkout_metrics
  • Optional:

  • product_margin_data
  • collection_level_performance
  • creative_breakdown
  • shipping_policy_context
  • Output Contract

    1. Shopify Tracking Health Summary

    2. Channel and Structure Diagnosis

    3. ROAS Volatility Interpretation

    4. Scale Path with Budget Gates

    5. Checkout and Funnel Optimization Plan

    Workflow

    1. Validate Shopify event mapping consistency.

    2. Confirm attribution alignment across channels.

    3. Audit campaign architecture per product/collection.

    4. Isolate ROAS drivers by audience/creative/offer.

    5. Propose staged budget lift and funnel fixes.

    Decision Rules

  • If checkout completion is weak, prioritize on-site fixes over spend expansion.
  • If collection-level margins vary, apply differential bid and budget controls.
  • If attribution mismatch is high, rely on blended and platform views in parallel.
  • If shipping/offer changes happened recently, separate pre/post effects before action.
  • Platform Notes

    Primary scope:

  • Shopify Ads ecosystem with Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads
  • Platform behavior guidance:

  • Keep Shopify conversion events normalized before cross-platform optimization.
  • Pair channel decisions with collection-level economics when available.
  • Constraints And Guardrails

  • Do not optimize on ROAS alone when margin is uneven across SKUs.
  • Flag data-lag effects for short lookback windows.
  • Keep budget changes incremental under attribution uncertainty.
  • Failure Handling And Escalation

  • If event schema is broken, return patch checklist and freeze scale actions.
  • If Shopify app conflicts affect tracking, escalate with app inventory and event log.
  • If billing or policy lock appears, route to platform owner with urgency level.
  • Code Examples

    Shopify Event Mapping Check

    events:

    product_view: ViewContent

    add_to_cart: AddToCart

    checkout_start: InitiateCheckout

    order_paid: Purchase

    status: pass_with_warnings

    Budget Lift Gate

    if blended_roas >= 2.8 and checkout_cvr >= 2.2:

    increase_budget_pct: 15

    else:

    hold_budget: true

    Examples

    Example 1: Shopify ROAS drift

    Input:

  • ROAS unstable after theme update
  • Output focus:

  • tracking validation
  • cause isolation
  • corrective actions
  • Example 2: Collection scaling

    Input:

  • One collection outperforming others
  • Output focus:

  • collection-level budget logic
  • structure recommendations
  • risk guardrails
  • Example 3: Checkout drop

    Input:

  • Add-to-cart steady, purchase down
  • Output focus:

  • checkout funnel fixes
  • retargeting adjustment
  • measurement checks
  • Quality Checklist

  • [ ] Required sections are complete and non-empty
  • [ ] Trigger keywords include at least 3 registry terms
  • [ ] Input and output contracts are operationally testable
  • [ ] Workflow and decision rules are capability-specific
  • [ ] Platform references are explicit and concrete
  • [ ] At least 3 practical examples are included
  • // Comments
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