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DataPython

Budget Optimizer

by indranilbanerjee

Budget Optimizer is a Data skill for Claude Code, published by indranilbanerjee in digital-marketing-pro.

764 stars128 forkson indranilbanerjee/digital-marketing-proAdded 2026/08/23+2% in starsRepository updated 2026/08/17
aeoagent-skillsai-marketingc2paclaude-codeclaude-pluginclaude-skillscontent-marketingcopilot-cli-plugincursor-plugineu-ai-actgemini-cli-extensiongeogoogle-antigravityhermes-pluginmarketing-agencymarketing-automationopenai-codexopenclaw-pluginseo
Install in seconds
Install Budget Optimizer
Copy Budget Optimizer 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/indranilbanerjee/digital-marketing-pro/tree/main/skills/budget-optimizer ~/.claude/skills/budget-optimizer

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/indranilbanerjee/digital-marketing-pro.git

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

In this catalog

Source file
skills/budget-optimizer/SKILL.md in indranilbanerjee/digital-marketing-pro
Installs to
~/.claude/skills/budget-optimizer
Collection
One of 25 skills cataloged from this repository
Category
Data — 668 skills

What Budget Optimizer does

Budget Optimizer reallocates marketing spend across channels using performance data and diminishing-returns modeling. It produces a current-vs-optimized allocation, ROI ranges, and a phased reallocation plan without changing spend on any platform.

Budget Optimizer is cataloged under Data on DirSkills. Budget Optimizer comes from a repository tagged aeo, agent-skills, ai-marketing, c2pa and claude-code.

Documentation

README

/digital-marketing-pro:budget-optimizer

Purpose

Data-driven marketing budget optimization across channels using performance data and industry benchmarks. Analyzes current spend efficiency, models diminishing returns per channel, and produces an optimized allocation with projected ROI improvement and a phased reallocation timeline.

Input Required

The user must provide (or will be prompted for):

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

Frequently asked about Budget Optimizer

  • What else does indranilbanerjee publish alongside Budget Optimizer?

    Budget Optimizer is one of 25 skills that DirSkills catalogs from indranilbanerjee/digital-marketing-pro, the repository it ships in. Its siblings there include A/B Test Plan, AEO Audit and AEO/GEO Intelligence. Each one is a separate skill with its own page in this directory, installs the same way Budget Optimizer does, and is maintained by indranilbanerjee in that same repository. The rest of the collection is listed on the indranilbanerjee/digital-marketing-pro page.

  • How does Budget Optimizer compare to other Data skills?

    Budget Optimizer ranks #522 by stars among the 668 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 Budget Optimizer against them. Open each page to compare what they document and how they install.

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