ads-budget

Review ad budget allocation and bidding strategies across advertising platforms.

8|5|Updated Feb 18, 2026
One-click install
npx skills add https://github.com/shenxingy/Clade --skill ads-budget-shenxingy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ads-budget
Source: https://github.com/shenxingy/Clade/tree/main/configs/skills/ads-budget
Command: npx skills add https://github.com/shenxingy/Clade --skill ads-budget-shenxingy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

It solves the problem of wasting spend or missing growth by helping you review ad budget allocation and bidding strategies across platforms based on performance and readiness signals.

Core Features & Use Cases

  • Cross-Platform Budget Allocation Review: applies a 70/20/10 split (proven / scaling / testing) using platform-specific sufficiency rules to determine how to distribute spend.
  • Bidding Strategy Fit & Recommendations: selects appropriate bidding approaches per platform and funnel stage (e.g., maximize clicks vs conversions vs target CPA/ROAS), accounting for revenue tracking and learning phases.
  • Scaling Readiness + Kill/Scale Lists: validates minimum data windows (e.g., spend/click thresholds and ≥14-day coverage) and applies the 3x Kill Rule and scaling thresholds to produce actionable scale and pause recommendations.

Quick Start

Use ads-budget when you need a budget and bidding plan that identifies which campaigns to kill or scale based on spend distribution, CPC/CPA/ROAS targets, and performance sufficiency.

Frequently Asked Questions about ads-budget

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I allocate ad budgets across Google, Meta, and TikTok using the 70/20/10 framework?

Cross-platform budget allocation applies a 70/20/10 split across proven, scaling, and testing campaigns, using platform-specific sufficiency and learning-phase rules to determine spend distribution for Google, Meta, LinkedIn, TikTok, and Microsoft.

When should I scale or kill an ad campaign based on ROAS and CPA targets?

Scaling and kill decisions require validating minimum data windows, including spend thresholds and ≥14-day coverage, then applying the 3x Kill Rule and 20% scaling thresholds to generate actionable pause or scale recommendations.

What is the best bidding strategy for different ad funnel stages across multiple platforms?

Bidding strategy recommendations select between maximize clicks, maximize conversions, or target CPA/ROAS per platform and funnel stage, ensuring alignment with revenue tracking and learning phase requirements.

Does my ad account have enough data to pass scaling readiness assessment?

Scaling readiness assessment validates campaign data by checking minimum spend and click thresholds alongside a ≥14-day coverage window to ensure sufficient performance data before applying scale or kill rules.

What are the limitations of using the 3x Kill Rule for ad budget optimization?

The 3x Kill Rule is limited by platform-specific learning phases and requires validated data windows; campaigns still in learning phases or lacking minimum spend thresholds cannot be accurately assessed for kill or scale decisions.