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Toprank Weekly Review

Skill Verified Active

Run a weekly SEO review for one registered website, write audit artifacts, and choose the next best safe action.

Purpose

To provide data-driven insights and automated actions for improving website SEO performance and optimizing ad spend across Google and Meta platforms.

Features

  • Weekly SEO review and audit artifact generation
  • Google Ads and Meta Ads account auditing and performance analysis
  • Actionable recommendations for SEO improvements and ad spend optimization
  • Secure OAuth integration for ad platforms
  • Support for CMS integration and automated content updates

Use Cases

  • Running a weekly check on website SEO health and identifying the top improvement area.
  • Analyzing Google Ads and Meta Ads performance to find wasted spend and opportunities.
  • Getting data-driven recommendations for optimizing ad creatives, keywords, and audiences.
  • Automating the process of identifying and acting on critical SEO issues.

Non-Goals

  • Performing actions outside of SEO and ad management.
  • Making irreversible changes without user review or explicit approval.
  • Providing generic business advice unrelated to specific website performance metrics.

Workflow

  1. Load site profile, goals, and latest state.
  2. Run fresh SEO and/or Ads review using canonical analysis skill.
  3. Identify top issues and prioritize one next best action.
  4. Write audit artifacts (audit.json, action-plan.json, verification.json).
  5. Create queue item for follow-up checks.
  6. Request user approval for any external changes (repo edits, CMS updates, PRs).

Practices

  • SEO Best Practices
  • Ad Campaign Management
  • Data-Driven Decision Making

Prerequisites

  • Python 3.8+
  • Access to Google Search Console
  • Authorized Google Ads and Meta Ads accounts via notfair.co

Installation

npx skills add nowork-studio/toprank

Runs the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.

Quality Score

Verified
100 /100
Analyzed about 13 hours ago

Trust Signals

Last commit4 days ago
Stars2.1k
LicenseMIT
Status
View Source

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