ads-budget

Automate budget allocation and bidding strategy assessment across ad platforms.

31|8|Updated Mar 15, 2026
One-click install
npx skills add https://github.com/citedy/adclaw --skill ads-budget-citedy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ads-budget
Source: https://github.com/citedy/adclaw/tree/main/src/adclaw/agents/skills/ads-budget
Command: npx skills add https://github.com/citedy/adclaw --skill ads-budget-citedy

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps marketers allocate budgets and optimize bidding strategies across multiple ad platforms by providing a structured framework and rules (70/20/10, 3x Kill Rule, 20% scaling) to improve ROAS, reduce waste, and speed decision-making.

Core Features & Use Cases

  • Budget allocation framework: applies the 70/20/10 rule to distribute spend across proven, scaling, and testing channels.
  • Bidding strategy evaluation: evaluates bidding options per platform and aligns with target metrics (CPA, ROAS, CTR).
  • Scaling & kill readiness: identifies campaigns ready to scale and campaigns to pause based on data thresholds.
  • Decision outputs: generates a structured plan with a kill list, scale list, and recommended budget splits for all platforms.
  • Operational guardrails: validates data windows (e.g., 14 days; minimum spend and clicks) before making recommendations.

Quick Start

Provide your current performance data and targets to receive a complete budget-bidding plan.

Frequently Asked Questions about ads-budget

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

FAQPage Schema
How do I optimize ad spend allocation across multiple platforms?

Ad spend allocation is optimized by applying a 70/20/10 rule to distribute budgets across proven, scaling, and testing channels, evaluating bidding strategies to improve ROAS and reduce waste.

What is the 3x Kill Rule for advertising campaigns?

The 3x Kill Rule is a data threshold framework used to identify underperforming campaigns. It flags campaigns as kill candidates to pause, helping reduce wasted spend and streamline budget distribution.

How do I assess scaling readiness for Google, Meta, and TikTok ads?

Scaling readiness is assessed by applying a 20% scaling rule to campaign data. This evaluates performance thresholds across Google, Meta, LinkedIn, TikTok, and Microsoft platforms to identify campaigns ready for budget increases.

What data is needed to generate a budget bidding plan for ads?

Generating a budget bidding plan requires current performance data and target metrics like CPA, ROAS, and CTR. The system validates data windows, requiring a minimum 14-day period with sufficient spend and clicks.

When should I not use automated budget allocation for ad campaigns?

Automated budget allocation should not be used when your campaign data window is less than 14 days or lacks the minimum required spend and clicks, as operational guardrails need sufficient data to generate reliable recommendations.