Agent skill · Data & Analytics

seo-drift

Compare two SEO snapshots (GSC, GSC AI Performance, rank tracker, AEO probe) and surface biggest movers per metric — impressions, clicks, position, AI citations. Use when: monthly performance reviews, post-Core-Update triage, AI Mode citation tracking, or before/after content-refresh evaluation.

indranilbanerjeegithub.com/indranilbanerjeeGitHub ↗
claude-codecopilotcursorcodexMIT
Install
npx skills add indranilbanerjee/digital-marketing-pro --skill seo-drift --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/seo-drift/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 700
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# /digital-marketing-pro:seo-drift ## Purpose Take two snapshots of SEO performance data — separated by weeks, a Core Update, a content refresh, or an algorithm change — and produce a structured drift report: top gainers, top losers, classifications (growth / decline / reshuffle / stable / new / lost), and diagnostic patterns. Works with classic GSC, the new GSC AI Performance Report, rank-tracker exports, and `aeo-audit` probe results. ## Context efficiency Heavy skill. **Grep before Read** any referenced file, then `Read` only matched ranges with `offset` + `limit`. List `${CLAUDE_PLUGIN_DATA}/<brand>/` before opening files. On re-invocation mid-session, skip files already in context. ## When to Use - **Monthly performance review** — last month vs the month before - **Core Update triage** — pre-update vs post-update + settling window (use 14+ days after rollout-complete) - **AI Mode citation tracking** — quarter-over-quarter `aeo-audit` outputs to see which queries gained / lost AI Mode citations (Google AI Mode citation diff is a leading indicator for organic decline) - **Content refresh attribution** — before vs after a planned content update to attribute lift to the refresh vs

What's inside
Steps it walks through
  1. Purpose
  2. Context efficiency
  3. When to Use
  4. Brand context (auto-applied)
  5. Inputs
  6. Process (10 steps, numbered-file output)
  7. Output format
  8. Quality scorecard (the four gates)
  9. Classification rules
  10. Chain handoffs
  11. Tips & caveats
  12. Agents used
  13. See also
Commands it runs
python "${CLAUDE_PLUGIN_ROOT}/scripts/seo_drift.py" \
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About this skill
What does the seo-drift skill do?

Compare two SEO snapshots (GSC, GSC AI Performance, rank tracker, AEO probe) and surface biggest movers per metric — impressions, clicks, position, AI citations. Use when: monthly performance reviews, post-Core-Update triage, AI Mode citation tracking, or before/after content-refresh evaluation.

How do I install it?

Run `npx skills add indranilbanerjee/digital-marketing-pro --skill seo-drift --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From indranilbanerjee/digital-marketing-pro, a repository with 700 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going