A skill your agent uses when the user asks to "track rankings" or "查排名"; measures keyword and SERP-position deltas over time from provided exports or connected tools, including AI-response checks.

Apache-2.0Auto-check passedMarketing & SEO

Install Rank Tracker

skills CLI
$ npx skills add aaron-he-zhu/aaron-marketing-skills --skill rank-tracker -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aaron-he-zhu/aaron-marketing-skills rank-tracker --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aaron-he-zhu/aaron-marketing-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/seo-geo/evaluate/rank-tracker .claude/skills/rank-tracker && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
rank-tracker
GitHub stars
2.9k
Used in
1 other repo
Token cost
~2k tokens
SKILL.md length
768 words
Files
3 (incl. references)
Skills in repo
119
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses when the user asks to "track rankings" or "查排名"; measures keyword and SERP-position deltas over time from provided exports or connected tools, including AI-response checks.

  • Works in 7 steps: Set Up Keyword Tracking — configure… → Record Current Rankings — output a… → Analyze Ranking Changes — highlight… → …
  • The user asks to track rankings
  • SKILL.md covers Quick Start, Skill Contract, Data Sources and Decision Gates, plus 5 more sections
  • Calls python3

What it does

Rank Tracker is an agent skill from aaron-he-zhu/aaron-marketing-skills. Use when the user asks to "track rankings" or "查排名"; measures keyword and SERP-position deltas over time from provided exports or connected tools, including AI-response checks. Not for multi-metric stakeholder reports or setting alerts — use performance-monitor (report or alert mode). 排名追踪/SERP监控

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/ranking-analysis-templates.md` and `references/tracking-setup-guide.md`). Compatibility notes: Claude Code and compatible agent-skill hosts

It sits in Marketing & SEO. The repository describes itself as: 120 marketing skills as an AI marketing staff — plugin, portable skills, or an 8-bot team across 7 disciplines (narrative, SEO/GEO, social, email, paid, influencer, launch) on… The licence is Apache-2.0.

When your agent uses it

  • The user asks to track rankings
  • Measures keyword and SERP-position deltas over time from provided exports
  • Connected tools
  • Including AI-response checks

Example prompts

  • “track rankings”
  • “/rank-tracker”

Requirements

  • Python 3
  • Compatibility (from SKILL.md): Claude Code and compatible agent-skill hosts
  • Pre-approved tools (allowed-tools): WebFetch

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Set Up Keyword Tracking — configure domain, market/locale, device, language, engine, update frequency, priorities, competitor watchlist…
  2. Record Current Rankings — output a position table where every row cites its source (tool export / user-provided / estimated), with…
  3. Analyze Ranking Changes — highlight biggest wins, declines, stable terms, new rankings, lost rankings, likely causes, and recovery ideas…
  4. Track SERP Features — compare ownership of snippets, PAA, image/video packs, local packs, and related feature shifts.
  5. Track GEO / AI Visibility — monitor AI Overview presence, citation rate, citation position, and trend; mark each value Measured (from an…
  6. Compare Against Competitors — report share of voice, head-to-head comparisons, and threat levels.
  7. Generate Ranking Report — output overall trend, key wins, concerns, opportunities, SERP feature changes, GEO visibility, and…

What it can do on your machine

Read from SKILL.md and the folder at commit d5529cb. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • WebFetch

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Claude Code and compatible agent-skill hosts

    From compatibility in the SKILL.md frontmatter.

Context cost

Rank Tracker loads about 2k tokens when it runs, and up to ~4.3k if it reads all its reference files. Until then it costs about 78 tokens; SKILL.md has 768 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aaron-he-zhu/aaron-marketing-skills at commit d5529cb, republished under its Apache-2.0 licence (© aaron-he-zhu). 768 words, ~1,953 tokens.

Download SKILL.mdSave it as .claude/skills/rank-tracker/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
rank-tracker
description
Use when the user asks to "track rankings" or "查排名"; measures keyword and SERP-position deltas over time from provided exports or connected tools, including AI-response checks. Not for multi-metric stakeholder reports or setting alerts — use performance-monitor (report or alert mode). 排名追踪/SERP监控
allowed-tools
WebFetch
compatibility
Claude Code and compatible agent-skill hosts
slug
rank-tracker
displayName
Rank Tracker · 排名追踪
summary
排名追踪/SERP监控
version
20.1.0
license
Apache-2.0
homepage
https://github.com/aaron-he-zhu/aaron-marketing-skills
when_to_use
Use when tracking keyword rankings, monitoring position changes, comparing ranking snapshots, or detecting ranking drops.
argument-hint
<domain> [keyword list]
metadata.author
aaron-he-zhu
metadata.version
20.1.0

Rank Tracker

Tracks keyword positions, SERP feature ownership, and AI visibility over time.

Quick Start

Set up rank tracking for [domain] targeting these keywords: [keyword list]
Analyze ranking changes for [domain] over the past [time period]

Skill Contract

Expected output: a ranking report or delta summary plus the standard handoff summary for memory/monitoring/.

  • Reads: current rankings, prior baselines, target keyword list, locale/language/device/engine, snapshot/source refs, observation times/windows, stable page/content bindings, and any user-provided or tool metrics.
  • Writes: a user-facing monitoring deliverable and reusable summary.
  • Promotes: significant changes, confirmed anomalies, follow-up actions, and pending decisions to memory/open-loops.md.
  • Done when: every tracked keyword shows a current, context-matched position vs baseline with a labeled delta, or Unknown/NEEDS_REFRESH with its reason; each observation cites its source ref, observed time, window, locale/language/device/engine, evidence label, and ranking page ref; conflicts remain visible; and biggest movers and likely causes are named.
  • Primary next skill: performance-monitor when recurring monitoring should become automated.
Handoff Summary

Emit the standard shape from skill-contract.md §Handoff Summary Format.

Data Sources

All integrations optional (see CONNECTORS.md). With tools, pull rankings from ~~SEO tool, impressions from ~~search console, traffic from ~~analytics, and AI citations from ~~AI monitor. Without tools, ask for positions, volumes, competitor data, and SERP feature status.

Zero-dependency measurement loop (no paid tool needed): never narrate a ranking movement you did not measure — record each check as a snapshot and let the ledger compute the delta. python3 "${CLAUDE_PLUGIN_ROOT}/scripts/connectors/ledger.py" record <domain> --source rank --data '{"<keyword>": <position>, ...}', then ledger.py diff <domain> --source rank for the change since the last check and ledger.py trend <domain> --source rank --field "<keyword>" for the series. Record real Search Console positions when connected, or the positions the user provides at Tier 1. A ranking delta is a week-scale, confounded outcome — attribute it against a control (a holdout keyword/competitor), not against zero; see references/measurement-protocol.md. See scripts/connectors/README.md.

Decision Gates

Stop and ask the user when:

  • No target keywords are provided and none can be inferred from CLAUDE.md or prior monitoring records — offer: (1) supply a keyword list, (2) track the domain's top known terms, (3) cancel.

Continue silently (never stop for):

  • No prior baseline exists — record the current run as the baseline, label all positions as the first snapshot, and proceed (do not invent a "previous" position).
  • Missing optional tool data (SERP features, AI citations) — mark N/A and proceed.
Show full SKILL.md (403 more words)Show less

Instructions

When a user requests rank tracking or analysis:

  1. Set Up Keyword Tracking — configure domain, market/locale, device, language, engine, update frequency, priorities, competitor watchlist, and stable page refs. Apply the SEO/GEO Evidence and Cycle Control Profile.
  2. Record Current Rankings — output a position table where every row cites its source (tool export / user-provided / estimated), with position ranges, ranking URLs, feature ownership, and movement vs baseline.
  3. Analyze Ranking Changes — highlight biggest wins, declines, stable terms, new rankings, lost rankings, likely causes, and recovery ideas; each delta labeled against its baseline.
  4. Track SERP Features — compare ownership of snippets, PAA, image/video packs, local packs, and related feature shifts.
  5. Track GEO / AI Visibility — monitor AI Overview presence, citation rate, citation position, and trend; mark each value Measured (from an ~~AI monitor) or N/A if unobserved.
  6. Compare Against Competitors — report share of voice, head-to-head comparisons, and threat levels.
  7. Generate Ranking Report — output overall trend, key wins, concerns, opportunities, SERP feature changes, GEO visibility, and recommendations, with each metric carrying its source tag.

Label every metric Measured, User-provided, Calculated, Estimated, Proxy, or Unknown; never present an estimate or proxy as measured. An applicable missing metric is Unknown with its reason. A stale or locale/language/device/engine-mismatched position is NEEDS_REFRESH, not a current ranking; N/A is only for a genuinely non-applicable field.

Reference: See Ranking Analysis Templates for the complete output templates for all seven steps.

Example

A ranking report names the biggest winners, biggest drops, and next actions, with each position carrying its source tag and labeled delta against baseline.

Rank Change Quick Reference

Response Protocol
ChangeTimeframeAction
Drop 1-3 positionsWait 1-2 weeksMonitor — may be normal fluctuation
Drop 3-5 positionsInvestigate within 1 weekCheck technical issues and competitor changes
Drop 5-10 positionsInvestigate immediatelyRun a full diagnostic: technical, content, links
Drop off page 1Emergency responseComprehensive audit + recovery plan
Position gainedDocument and learnIdentify what worked and replicate

Reference: See Tracking Setup Guide for tracking setup, root-cause taxonomy, CTR benchmarks, SERP feature impact, and algorithm-update assessment.

Save Results

Ask "Save these results?" If yes, write to memory/monitoring/ — see Skill Contract §Save Results Template.

Reference Materials

Next Best Skill

Initial setup (no baseline) → performance-monitor. Subsequent runs (baseline exists) → Terminal. Visited-set rule applies per skill-contract.md.

© aaron-he-zhu, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in seo-geo/evaluate/rank-tracker of aaron-he-zhu/aaron-marketing-skills.

  • SKILL.md
  • references/ranking-analysis-templates.md
  • references/tracking-setup-guide.md

Open the folder on GitHubat commit d5529cb

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in aaron-he-zhu/aaron-marketing-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Rank Tracker next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Hreflang and International SEOAgriciDaniel/claude-seo19k5 repos~3.4kAutomated safety check: PassMIT
Referralscoreyhaines31/marketingskills54k2 repos~2.6kAutomated safety check: PassMIT
SEO GeoReScienceLab/opc-skills1.8k4 repos~2.1kAutomated safety check: PassApache-2.0

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Categories

Questions about Rank Tracker

What does Rank Tracker do?

A skill your agent uses when the user asks to "track rankings" or "查排名"; measures keyword and SERP-position deltas over time from provided exports or connected tools, including AI-response checks. Rank Tracker is an agent skill from aaron-he-zhu/aaron-marketing-skills. Use when the user asks to "track rankings" or "查排名"; measures keyword and SERP-position deltas over time from provided exports or connected tools, including AI-response checks.

When should I use Rank Tracker?

Rank Tracker fits situations like: the user asks to track rankings; measures keyword and SERP-position deltas over time from provided exports; connected tools; including AI-response checks.

How do I install Rank Tracker in Claude Code?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill rank-tracker -a claude-code`. Or copy the skill folder (seo-geo/evaluate/rank-tracker in aaron-he-zhu/aaron-marketing-skills) into .claude/skills/rank-tracker in your project. Claude Code loads it when a task matches its description.

How do I install Rank Tracker in Codex?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill rank-tracker -a codex`. Or copy the skill folder (seo-geo/evaluate/rank-tracker in aaron-he-zhu/aaron-marketing-skills) into .agents/skills/rank-tracker in your project. Codex loads it when a task matches its description.

Can I use Rank Tracker in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill rank-tracker -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/rank-tracker, .gemini/skills/rank-tracker, .github/skills/rank-tracker and .opencode/skills/rank-tracker in your project.

What does Rank Tracker need to run?

Going by SKILL.md and its folder, Rank Tracker needs the command-line tools its instructions call (python3). Our summary lists: Python 3. Its frontmatter pre-approves these tools: WebFetch. Compatibility (from SKILL.md): Claude Code and compatible agent-skill hosts.

Does Rank Tracker access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Rank Tracker safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Rank Tracker use?

Rank Tracker is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Rank Tracker use?

About 2k tokens (SKILL.md is roughly 7.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.4k tokens, read only when the agent opens those files.

What are the alternatives to Rank Tracker?

Skills that share tags, products or a category with Rank Tracker: Geo Fundamentals (wasp-lang/wasp, 19k stars), Ab Testing (coreyhaines31/marketingskills, 54k stars), Hreflang and International SEO (AgriciDaniel/claude-seo, 19k stars) and Referrals (coreyhaines31/marketingskills, 54k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Rank Tracker?

aaron-he-zhu (a GitHub user) maintains it in aaron-he-zhu/aaron-marketing-skills, which has 2,898 GitHub stars. The repository holds 119 skills in this directory. The repository was last updated on October 11, 2026.

Source: aaron-he-zhu/aaron-marketing-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.