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Budget allocation and bidding strategy v1.0.0

Use this resource to allocate an ad budget and choose a bidding strategy

New

  • 567 downloads
  • 135 likes
  • 157 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install ad-budget-bidding-allocation

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent normalizes spend and outcomes to comparable periods, calculates break-even boundaries and compares options: hold, reallocate, scale, reduce or test. You get a budget plan with its assumptions and sensitivity cases.

Mostly picked by

Updated November 2, 2026

Card for the “Budget allocation and bidding strategy” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: spend normalization and break-even calculation
  • SKILL.md: allocation options and decision plan

Good fit for

  • You must split a budget across several platforms
  • You want to increase spend without hurting ROAS

Not for

    Tags

    • budget
    • bidding
    • allocation
    • profitability

    About

    You say

    “Split my 5,000 € monthly ad budget between Google, Meta and TikTok based on margin.”

    Card for the “Budget allocation and bidding strategy” skill

    Skill published by agricidaniel under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to allocate an ad budget and choose a bidding strategy
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md1.2 KB

    Origin and licence

    Listed unmodified

    Author
    agricidaniel
    Source
    github.com/agricidaniel/claude-ads/tree/fc3908e786c318776df89a3a098333da377364be/skills/ads-budget
    Licence
    MIT

    Notice

    « ads-budget » (agricidaniel, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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