Anomaly Scan

Anomaly Scan 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 Anomaly Scan

Copy Anomaly Scan 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/anomaly-scan ~/.claude/skills/anomaly-scan

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/anomaly-scan/SKILL.md in indranilbanerjee/digital-marketing-pro
Installs to: ~/.claude/skills/anomaly-scan
Collection: One of 25 skills cataloged from this repository
Category: Data — 668 skills

What Anomaly Scan does

Anomaly Scan checks connected marketing platforms for statistically significant deviations from baseline, such as traffic drops, CPA spikes, or budget overruns. Use it when metrics change unexpectedly and you need likely causes and next actions.

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

Documentation

README

Excerpt

/digital-marketing-pro:anomaly-scan

Purpose

Scan all connected marketing platforms for anomalies — statistically significant deviations from established baselines that could indicate problems (traffic drops, CPA spikes, deliverability collapse, budget overruns) or opportunities (viral content, conversion rate improvements, unexpected channel growth). Designed to catch issues early, before they compound into costly problems, and to surface wins worth amplifying.

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 Anomaly Scan

What else does indranilbanerjee publish alongside Anomaly Scan?
Anomaly Scan 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 Anomaly Scan 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 Anomaly Scan compare to other Data skills?
Anomaly Scan ranks #519 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 Anomaly Scan against them. Open each page to compare what they document and how they install.