rank-tracker
Skill6 starsChanged 3 months agoMITView on GitHub
Use when the user asks to "track rankings"; monitors keyword/SERP changes from provided exports or connected tools, including AI response checks. 排名追踪/SERP监控
2 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- Insightful-Pipe/seo-skillstheir own version, first seen Nov 1, 2026
- code-with-mehedi/nextjs-claude-starteredited, first seen Aug 25, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- code-with-mehedi/nextjs-claude-starter★ 039% same
Wrote their own version · 1
- Insightful-Pipe/seo-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository346 other files it gives its agents.
- AGENTS.mdAGENTS.md
- .claude/skills/deeppapernote/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .claude/skills/deeppapernote/CLAUDE.mdCLAUDE.md
- docs/llms-full.txtllms.txt
- docs/llms.txtllms.txt
- llms.txtllms.txt
- academic-cv-builderSkill
- agenticx-a2a-connectorSkill
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- agenticx-memory-architectSkill
- agenticx-quickstartSkill
- agenticx-skill-managerSkill
- agenticx-tool-creatorSkill
- agenticx-workflow-designerSkill
- ai-slop-detectorSkill
- alert-managerSkill
- algorithmic-artSkill
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- codebase-documenterSkill
- code-dev-workflowSkill
- competitor-analysisSkill
- content-experimentation-best-practicesSkill
- content-gap-analysisSkill
- content-modeling-best-practicesSkill
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- The first 60 shown.
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 90
All integrations optional (see CONNECTORS.md).
- Distinctive: line 94
When a user requests rank tracking or analysis:
- Very specific: line 130
Ask "Save these results?" If yes, write memory/monitoring/YYYY-MM-DD-<topic>.md with headline finding, actions, and open loops.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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 metrics, baselines, alert thresholds, and reporting context from AGENTS.md and the shared State Model when available.
- 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. - Primary next skill: alert-manager 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.
Instructions
When a user requests rank tracking or analysis:
- Set Up Keyword Tracking — configure domain, market, device, language, update frequency, priorities, and competitor watchlist.
- Record Current Rankings — summarize position ranges, detailed rankings, ranking URLs, feature ownership, and movement.
- Analyze Ranking Changes — highlight biggest wins, declines, stable terms, new rankings, lost rankings, likely causes, and recovery ideas.
- Track SERP Features — compare ownership of snippets, PAA, image/video packs, local packs, and related feature shifts.
- Track GEO / AI Visibility — monitor AI Overview presence, citation rate, citation position, and trend.
- Compare Against Competitors — report share of voice, head-to-head comparisons, and threat levels.
- Generate Ranking Report — summarize overall trend, key wins, concerns, opportunities, SERP feature changes, GEO visibility, and recommendations.
Reference: See references/ranking-analysis-templates.md for the complete output templates for all seven steps.
Example
Sample outcome: average position improves from 15.3 to 12.8, top-10 keywords rise from 12 to 17, and the report highlights the biggest winners, biggest drops, and next actions.
Tips for Success
Track consistently, segment by intent, watch competitors, and include SERP feature plus GEO signals.
Rank Change Quick Reference
Response Protocol
| Change | Timeframe | Action |
| Drop 1-3 positions | Wait 1-2 weeks | Monitor — may be normal fluctuation |
| Drop 3-5 positions | Investigate within 1 week | Check technical issues and competitor changes |
| Drop 5-10 positions | Investigate immediately | Run a full diagnostic: technical, content, links |
| Drop off page 1 | Emergency response | Comprehensive audit + recovery plan |
| Position gained | Document and learn | Identify what worked and replicate |
Reference: See references/tracking-setup-guide.md for tracking setup, root-cause taxonomy, CTR benchmarks, SERP feature impact, and algorithm-update assessment.
Save Results
Ask "Save these results?" If yes, write memory/monitoring/YYYY-MM-DD-<topic>.md with headline finding, actions, and open loops.
Reference Materials
- Tracking Setup Guide — Setup rules, feature tracking, and interpretation guidance
Next Best Skill
Initial setup (no baseline) → alert-manager. Subsequent runs (baseline exists) → Terminal. Visited-set rule applies per skill-contract.md.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.