Individual skill

content-decay-scan

Scan content for decay by script and rank refreshes by recoverable traffic. "which content is losing traffic"

plugins/indranilbanerjee/digital-marketing-pro/skills/content-decay-scan/SKILL.md

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Nov 6, 2026
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Apache-2.0

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# /digital-marketing-pro:content-decay-scan

> **Script location.** If your host does not set `${CLAUDE_PLUGIN_ROOT}`, the scripts are in this plugin's `scripts/` folder, next to `skills/`. Run them with Python 3.10 or newer: `python`, or `python3` where `python` is not found (macOS, many Linux systems).

## Purpose

Scan the entire content library for decay signals and prioritize refreshes by business impact. Content decay is invisible revenue loss — pages that once ranked well and drove conversions silently lose traffic as competitors publish fresher content, search algorithms evolve, statistics become outdated, and AI systems stop citing stale sources. This command detects declining organic traffic, falling keyword positions, outdated content (stale dates, broken links, deprecated information), lost AI citations, and conversion rate drops. It then ranks every piece of content by business impact — traffic multiplied by conversion rate multiplied by revenue per conversion — so you refresh the content that recovers the most revenue first, not just the content that lost the most traffic.

## Input Required

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

- **Content library data**: URLs of the content to scan — can be a full sitemap, a specific content directory (e.g., /blog/*, /resources/*), or a curated list of high-value pages. For each URL, the system will pull or needs: current monthly traffic, traffic 3 and 6 months ago for trend analysis, primary keyword rankings (current and historical positions), publish date and last updated date, conversion rate if tracked (form fills, signups, purchases), and revenue attribution if available
- **Analytics source**: Where to pull performance data — Google Analytics and Google Search Console via connected MCPs, or exported CSV data. If MCPs are connected, data is pulled automatically. If not, the user provides exported analytics covering at least the past 6 months