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DataPython

Ad Budget Allocation

by asgard-ai-platform

Ad Budget Allocation is a Data skill for Claude Code, published by asgard-ai-platform in skills.

228 stars28 forkson asgard-ai-platform/skillsAdded 2026/09/03Repository updated 2026/06/06
ai-agentanthropicclaudeclaude-agent-skillsclaude-codecoding-agentknowledge-basemcpmethodologyopen-sourceprompt-engineeringskillstaiwan
Install in seconds
Install Ad Budget Allocation
Copy Ad Budget Allocation into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/asgard-ai-platform/skills/tree/main/algo-ad-budget ~/.claude/skills/algo-ad-budget

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/asgard-ai-platform/skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
algo-ad-budget/SKILL.md in asgard-ai-platform/skills
Installs to
~/.claude/skills/algo-ad-budget
Collection
One of 25 skills cataloged from this repository
Category
Data710 skills

What Ad Budget Allocation does

Ad Budget Allocation optimizes spend across multiple campaigns using marginal returns analysis. Use it to split a fixed ad budget, rebalance after performance changes, or maximize ROAS under budget constraints.

Ad Budget Allocation is cataloged under Data on DirSkills. Ad Budget Allocation comes from a repository tagged ai-agent, anthropic, claude, claude-agent-skills and claude-code.

Documentation

README

Ad Budget Allocation Optimization

Overview

Budget allocation distributes a total advertising budget across campaigns to maximize overall returns. Uses the equal marginal returns principle: allocate until the marginal CPA (or marginal ROAS) is equalized across all campaigns. Handles diminishing returns and budget constraints.

When to Use

Trigger conditions:

  • Distributing a fixed budget across multiple campaigns or channels
  • Identifying diminishing returns and optimal spend levels per campaign
  • Rebalancing budget after performance changes

When NOT to use:

  • When optimizing bids within a single campaign (use bidding strategy)
  • When there's only one campaign (nothing to allocate across)

Algorithm

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Ad Budget Allocation

  • What else does asgard-ai-platform publish alongside Ad Budget Allocation?

    Ad Budget Allocation is one of 25 skills that DirSkills catalogs from asgard-ai-platform/skills, the repository it ships in. Its siblings there include ARIMA Time Series Model, Ad Bidding Strategies and Blockchain Fundamentals. Each one is a separate skill with its own page in this directory, installs the same way Ad Budget Allocation does, and is maintained by asgard-ai-platform in that same repository. The rest of the collection is listed on the asgard-ai-platform/skills page.

  • How does Ad Budget Allocation compare to other Data skills?

    Ad Budget Allocation ranks #639 by stars among the 710 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Ad Budget Allocation against them. Open each page to compare what they document and how they install.

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