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landing-page-optimizer

Optimize conversion pages for paid traffic from Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, and Shopify Ads journeys.

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/landing-page-optimizer

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

Ads Landing Page Optimizer

Purpose

Core mission:

  • conversion uplift design, CTA testing, page iteration plan

This skill is specialized for advertising workflows and should output actionable plans rather than generic advice.

When To Trigger

Use this skill when the user asks for:

  • ad execution guidance tied to business outcomes
  • growth decisions involving revenue, roas, cpa, or budget efficiency
  • platform-level actions for: Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads
  • this specific capability: conversion uplift design, CTA testing, page iteration plan

High-signal keywords:

  • ads, advertising, campaign, growth, revenue, profit
  • roas, cpa, roi, budget, bidding, traffic, conversion, funnel
  • meta, googleads, tiktokads, youtubeads, amazonads, shopifyads, dsp

Input Contract

Required:

  • objective: growth target and KPI priority
  • budget_frame: test budget and scale budget
  • channel_scope: channels to include

Optional:

  • audience_segments
  • creative_inventory
  • seasonality_window
  • policy_constraints

Output Contract

  1. Strategy Snapshot
  2. Channel Role Definition
  3. Budget and Bidding Plan
  4. Test Matrix
  5. Scale and Kill Rules

Workflow

  1. Define objective hierarchy (primary and secondary KPI).
  2. Assign channel roles by funnel stage.
  3. Allocate budget by expected signal and risk.
  4. Design test cells and learning windows.
  5. Set scale, hold, and stop rules.

Decision Rules

  • If KPI conflict exists, prioritize revenue efficiency over volume.
  • If channel evidence is weak, allocate minimum test budget first.
  • If audience is broad, start with modular creatives and layered targeting.

Platform Notes

Primary scope:

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

Platform behavior guidance:

  • Keep recommendations channel-aware; do not collapse all channels into one generic plan.
  • For Meta and TikTok Ads, prioritize creative testing cadence.
  • For Google A...

Source information

Source
github
Repository
openclaw/skills
Path
skills/danyangliu-sandwichlab/landing-page-optimizer
Version
—
Commit
bda2339a7105d76b4b1fd60bc08b40bf2ce7ec90
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
# Ads Landing Page Optimizer

## Purpose
Core mission:
- conversion uplift design, CTA testing, page iteration plan

This skill is specialized for advertising workflows and should output actionable plans rather than generic advice.

## When To Trigger
Use this skill when the user asks for:
- ad execution guidance tied to business outcomes
- growth decisions involving revenue, roas, cpa, or budget efficiency
- platform-level actions for: Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads
- this specific capability: conversion uplift design, CTA testing, page iteration plan

High-signal keywords:
- ads, advertising, campaign, growth, revenue, profit
- roas, cpa, roi, budget, bidding, traffic, conversion, funnel
- meta, googleads, tiktokads, youtubeads, amazonads, shopifyads, dsp

## Input Contract
Required:
- objective: growth target and KPI priority
- budget_frame: test budget and scale budget
- channel_scope: channels to include

Optional:
- audience_segments
- creative_inventory
- seasonality_window
- policy_constraints

## Output Contract
1. Strategy Snapshot
2. Channel Role Definition
3. Budget and Bidding Plan
4. Test Matrix
5. Scale and Kill Rules

## Workflow
1. Define objective hierarchy (primary and secondary KPI).
2. Assign channel roles by funnel stage.
3. Allocate budget by expected signal and risk.
4. Design test cells and learning windows.
5. Set scale, hold, and stop rules.

## Decision Rules
- If KPI conflict exists, prioritize revenue efficiency over volume.
- If channel evidence is weak, allocate minimum test budget first.
- If audience is broad, start with modular creatives and layered targeting.

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

Platform behavior guidance:
- Keep recommendations channel-aware; do not collapse all channels into one generic plan.
- For Meta and TikTok Ads, prioritize creative testing cadence.
- For Google A...

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