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dtc-ads-helper

Diagnose DTC ads performance across Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, and Shopify Ads by validating pixel attribution, account structure, creative signals, and conversion funnel opportunities.

danyangliu-sandwichlab0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install danyangliu-sandwichlab/dtc-ads-helper

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

DTC Helper

Purpose

Core mission:

  • Validate pixel and attribution readiness for OCPX-style optimization.
  • Analyze account structure and creative performance to explain ROAS volatility.
  • Provide scale path and budget lift recommendations.
  • Output landing page and conversion funnel optimization actions.

When To Trigger

Use this skill when the user asks for:

  • DTC store growth troubleshooting
  • ROAS instability diagnosis
  • scaling strategy after initial traction
  • landing page and funnel optimization for paid traffic

High-signal keywords:

  • dtc, ecommerce, shop, checkout, conversion
  • roas, cpa, budget, scale, optimize
  • pixel, tracking, attribution, campaign

Input Contract

Required:

  • store_url
  • platform_account_snapshot
  • pixel_event_snapshot
  • recent_performance_window

Optional:

  • creative_report
  • landing_page_metrics
  • cohort_ltv
  • inventory_constraints

Output Contract

  1. Pixel and Attribution Readiness Verdict
  2. ROAS Volatility Root-Cause Tree
  3. Scale Path and Budget Lift Plan
  4. Landing Page and Funnel Fixes
  5. Execution Priority Queue

Workflow

  1. Check event completeness for core commerce events.
  2. Audit campaign/adset/ad structure and budget fragmentation.
  3. Compare creative performance by funnel stage.
  4. Diagnose ROAS swings by channel, offer, and audience.
  5. Produce scale-safe budget and funnel actions.

Decision Rules

  • If Purchase event quality is low, pause aggressive scale and fix tracking first.
  • If creative fatigue is detected, prioritize new hooks before raising budget.
  • If funnel CVR is below threshold, route spend to best-converting LP first.
  • If LTV is unknown, avoid over-bidding on upper-funnel traffic.

Platform Notes

Primary scope:

  • Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Shopify Ads

Platform behavior guidance:

  • Meta/TikTok for creative-led demand creation.
  • Google for intent capture and bottom-funnel efficiency.
  • Shopify events must stay consistent with platform conversion...

Source information

Source
github
Repository
openclaw/skills
Path
skills/danyangliu-sandwichlab/dtc-ads-helper
Version
—
Commit
4bca866e545a054b2df8e426224f3ffb5e71671d
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# DTC Helper

## Purpose
Core mission:
- Validate pixel and attribution readiness for OCPX-style optimization.
- Analyze account structure and creative performance to explain ROAS volatility.
- Provide scale path and budget lift recommendations.
- Output landing page and conversion funnel optimization actions.

## When To Trigger
Use this skill when the user asks for:
- DTC store growth troubleshooting
- ROAS instability diagnosis
- scaling strategy after initial traction
- landing page and funnel optimization for paid traffic

High-signal keywords:
- dtc, ecommerce, shop, checkout, conversion
- roas, cpa, budget, scale, optimize
- pixel, tracking, attribution, campaign

## Input Contract
Required:
- store_url
- platform_account_snapshot
- pixel_event_snapshot
- recent_performance_window

Optional:
- creative_report
- landing_page_metrics
- cohort_ltv
- inventory_constraints

## Output Contract
1. Pixel and Attribution Readiness Verdict
2. ROAS Volatility Root-Cause Tree
3. Scale Path and Budget Lift Plan
4. Landing Page and Funnel Fixes
5. Execution Priority Queue

## Workflow
1. Check event completeness for core commerce events.
2. Audit campaign/adset/ad structure and budget fragmentation.
3. Compare creative performance by funnel stage.
4. Diagnose ROAS swings by channel, offer, and audience.
5. Produce scale-safe budget and funnel actions.

## Decision Rules
- If Purchase event quality is low, pause aggressive scale and fix tracking first.
- If creative fatigue is detected, prioritize new hooks before raising budget.
- If funnel CVR is below threshold, route spend to best-converting LP first.
- If LTV is unknown, avoid over-bidding on upper-funnel traffic.

## Platform Notes
Primary scope:
- Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Shopify Ads

Platform behavior guidance:
- Meta/TikTok for creative-led demand creation.
- Google for intent capture and bottom-funnel efficiency.
- Shopify events must stay consistent with platform conversion...

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