본문으로 건너뛰기
cccskills
무료GitHub에 공개

rank-tracker

Compare keyword rankings over time using supplied data or connected tools. Identify gains and drops, track special search result placements and observed AI citations, and receive a report with sources, comparison conditions, and suggested follow-up actions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

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

연동 도구Search Console

실행 점수 미검증

설치 방법 보기

이럴 때 유용합니다

  • Comparing current keyword rankings with previous records
  • Investigating major ranking drops
  • Comparing search result visibility with competitors
  • Reviewing AI citations and search result placements

포함된 파일(3)

  • SKILL.md7.7 KB
  • references/ranking-analysis-templates.md4.2 KB
  • references/tracking-setup-guide.md5.1 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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.

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.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Audit paid advertising accounts before increasing spend by comparing campaign exports with your own sales or lead records. Review 20 criteria covering measurement, spending, and safety, then receive a decision and prioritized fixes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Review an ad account before increasing its budget
  • Check reported ad returns against sales and lead records
  • Identify wasted spend and prioritize measurement fixes
aaron-he-zhu/aaron-marketing-skills3천2026년 10월 23일 업데이트

Create paid-ad headlines, descriptions, and opening hooks that match the destination page. Build a matrix of messaging angles and variants, check format limits, and flag unsupported claims or policy risks before handing the set off for review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Drafting responsive search ad headlines and descriptions
  • Comparing ad angles and opening hooks
  • Replacing weak headlines while keeping successful ones
aaron-he-zhu/aaron-marketing-skills3천2026년 10월 23일 업데이트

Plan advertising and landing page experiments with a clear hypothesis, controlled variants, sample sizes, and duration. Interpret exported results by separating statistical evidence from meaningful business impact, applying an action rule only when its owner approved it in advance.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Plan an A/B test for landing page headlines
  • Estimate sample size and duration for an ad test
  • Assess effect size and uncertainty in exported test results
aaron-he-zhu/aaron-marketing-skills3천2026년 10월 23일 업데이트

Design employee and founder sharing programs with voluntary participation, personalized share kits, disclosure lines, and staggered posting windows. Get roster and Slack or Teams distribution specifications, plus safeguards against identical coordinated posts and organized engagement exchanges.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Designing a voluntary employee sharing program
  • Preparing personalized launch share kits
  • Planning founder posts and disclosure lines
aaron-he-zhu/aaron-marketing-skills3천2026년 10월 23일 업데이트

Reconcile paid advertising conversions with GA4 or ecommerce order records. Identify duplicate and unmatched claims, align attribution windows and currencies, compare how models assign credit, and assess additional orders when test and control data are available.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Find sales claimed by both Meta and Google
  • Build a monthly conversion reconciliation workbook
  • Compare results across attribution models
aaron-he-zhu/aaron-marketing-skills3천2026년 10월 23일 업데이트

Turn customer interviews and won or lost deal notes into a map of buyer beliefs, recurring objections, and reasons to switch or stay. Each finding includes its evidence, with suggested ways to address objections and clear labels for assumptions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Map buyer beliefs from customer interviews
  • Organize recurring sales objections and response angles
  • Identify reasons buyers switch or stay
aaron-he-zhu/aaron-marketing-skills3천2026년 10월 23일 업데이트

aaron-he-zhu의 스킬 모두 보기

이 스킬의 문제 신고