meta-tags-optimizer

aaron-he-zhu/seo-geo-claude-skills · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/aaron-he-zhu/seo-geo-claude-skills --skill meta-tags-optimizer
0 commentsdiscussion
summary

Optimized meta tags for search results and social sharing with CTR-focused title and description generation.

  • Generates title tags (50-60 characters), meta descriptions (150-160 characters), Open Graph tags, and Twitter cards with keyword placement and power-word optimization
  • Provides three title and description variations with CTR analysis, A/B testing suggestions, and character-count validation for SERP display
  • Includes CORE-EEAT alignment checks to ensure meta tag promises match ac
skill.md

Meta Tags Optimizer

SEO & GEO Skills Library · 20 skills for SEO + GEO · ClawHub · skills.sh System Mode: This build skill follows the shared Skill Contract and State Model.

This skill creates compelling, optimized meta tags that improve click-through rates from search results and enhance social media sharing. It covers title tags, meta descriptions, and social meta tags.

System role: Build layer skill. It turns briefs and signals into assets that other skills can review, publish, and monitor.

When This Must Trigger

Use this when the conversation involves any of these situations — even if the user does not use SEO terminology:

Use this whenever the task needs a shippable asset or transformation that should feed directly into quality review, deployment, or monitoring.

  • Creating meta tags for new pages
  • Optimizing existing meta tags for better CTR
  • Preparing pages for social media sharing
  • Fixing duplicate or missing meta tags
  • A/B testing title and description variations
  • Optimizing for specific SERP features
  • Creating meta tags for different page types

What This Skill Does

  1. Title Tag Creation: Writes compelling, keyword-optimized titles
  2. Meta Description Writing: Creates click-worthy descriptions
  3. Open Graph Optimization: Prepares pages for social sharing
  4. Twitter Card Setup: Optimizes Twitter-specific meta tags
  5. CTR Analysis: Suggests improvements for better click rates
  6. Character Counting: Ensures proper length for SERP display
  7. A/B Test Suggestions: Provides variations for testing

Quick Start

Start with one of these prompts. Finish with a short handoff summary using the repository format in Skill Contract.

Create Meta Tags

Create meta tags for a page about [topic] targeting [keyword]
Write title and meta description for this content: [content/URL]

Optimize Existing Tags

Improve these meta tags for better CTR: [current tags]

Social Media Tags

Create Open Graph and Twitter card tags for [page/URL]

Skill Contract

Expected output: a ready-to-use asset or implementation-ready transformation plus a short handoff summary ready for memory/content/.

  • Reads: the brief, target keywords, entity inputs, quality constraints, and prior decisions from CLAUDE.md and the shared State Model when available.
  • Writes: a user-facing content, metadata, or schema deliverable plus a reusable summary that can be stored under memory/content/.
  • Promotes: approved angles, messaging choices, missing evidence, and publish blockers to CLAUDE.md, memory/decisions.md, and memory/open-loops.md.
  • Next handoff: use the Next Best Skill below when the asset is ready for review or deployment.

Data Sources

See CONNECTORS.md for tool category placeholders.

With ~~search console + ~~SEO tool connected: Automatically pull current meta tags, CTR data by query, competitor title/description patterns, SERP preview data, and impression/click metrics to identify optimization opportunities.

With manual data only: Ask the user to provide:

  1. Current title and meta description (if optimizing existing)
  2. Target primary keyword and 2-3 secondary keywords
  3. Page URL and main content/value proposition
  4. Competitor URLs or examples of well-performing titles in the SERP

Proceed with the full workflow using provided data. Note in the output which metrics are from automated collection vs. user-provided data.

Instructions

When a user requests meta tag optimization:

  1. Gather Page Information

    ### Page Analysis
    
    **Page URL**: [URL]
    **Page Type**: [blog/product/landing/service/homepage]
    **Primary Keyword**: [keyword]
    **Secondary Keywords**: [keywords]
    **Target Audience**: [audience]
    **Primary CTA**: [action you want users to take]
    **Unique Value Prop**: [what makes this page special]
    
  2. Create Optimized Title Tag

    ### Title Tag Optimization
    
    **Requirements**:
    - Length: 50-60 characters (displays fully in SERP)
    - Include primary keyword (preferably near front)
    - Make it compelling and click-worthy
    - Match search intent
    - Include brand name if appropriate
    
    **Title Tag Formula Options**:
    
    1. **Keyword | Benefit | Brand**
       "[Primary Keyword]: [Benefit] | [Brand Name]"
       
    2. **Number + Keyword + Promise**
       "[Number] [Keyword] That [Promise/Result]"
       
    3. **How-to Format**
       "How to [Keyword]: [Benefit/Result]"
       
    4. **Question Format**
       "What is [Keyword]? [Brief Answer/Hook]"
       
    5. **Year + Keyword**
       "[Keyword] in [Year]: [Hook/Update]"
    
    **Generated Title Options**:
    
    | Option | Title | Length | Power Words | Keyword Position |
    |--------|-------|--------|-------------|------------------|
    | 1 | [Title] | [X] chars | [words] | [Front/Middle] |
    | 2 | [Title] | [X] chars | [words] | [Front/Middle] |
    | 3 | [Title] | [X] chars | [words] | [Front/Middle] |
    
    **Recommended**: Option [X]
    **Reasoning**: [Why this option is best]
    
    **Title Tag Code**:
    ```html
    <title>[Selected Title]</title>
    
  3. Write Meta Description

    ### Meta Description Optimization
    
    **Requirements**:
    - Length: 150-160 characters (displays fully in SERP)
    - Include primary keyword naturally
    - Include clear call-to-action
    - Match page content accurately
    - Create urgency or curiosity
    - Avoid duplicate descriptions
    
    **Meta Description Formula**:
    
    [What the page offers] + [Benefit to user] + [Call-to-action]
    
    **Power Elements to Include**:
    - Numbers and statistics
    - Current year
    - Emotional triggers
    - Action verbs
    - Unique value proposition
    
    **Generated Description Options**:
    
    | Option | Description | Length | CTA | Emotional Trigger |
    |--------|-------------|--------|-----|-------------------|
    | 1 | [Description] | [X] chars | [CTA] | [Trigger] |
    | 2 | [Description] | [X] chars | [CTA] | [Trigger] |
    | 3 | [Description] | [X] chars | [CTA] | [Trigger] |
    
    **Recommended**: Option [X]
    **Reasoning**: [Why this option is best]
    
    **Meta Description Code**:
    ```html
    <meta name="description" content="[Selected Description]">
    
  4. Create Open Graph, Twitter Card, and Additional Meta Tags

    Generate OG tags (og:type, og:url, og:title, og:description, og:image), Twitter Card tags, canonical URL, robots, viewport, author, and article-specific tags. Then combine into a complete meta tag block.

    Reference: See references/meta-tag-code-templates.md for OG type selection guide, Twitter card type selection, all HTML code templates, and the complete meta tag block template.

  5. CORE-EEAT Alignment Check

    Verify meta tags align wit

how to use meta-tags-optimizer

How to use meta-tags-optimizer on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add meta-tags-optimizer
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/aaron-he-zhu/seo-geo-claude-skills --skill meta-tags-optimizer

The skills CLI fetches meta-tags-optimizer from GitHub repository aaron-he-zhu/seo-geo-claude-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/meta-tags-optimizer

Reload or restart Cursor to activate meta-tags-optimizer. Access the skill through slash commands (e.g., /meta-tags-optimizer) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.730 reviews
  • Anika Singh· Dec 16, 2024

    Registry listing for meta-tags-optimizer matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Hassan Rao· Dec 12, 2024

    Useful defaults in meta-tags-optimizer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Kiara Gupta· Dec 12, 2024

    meta-tags-optimizer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Olivia Sharma· Nov 3, 2024

    Keeps context tight: meta-tags-optimizer is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Zaid Perez· Oct 22, 2024

    I recommend meta-tags-optimizer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Sakshi Patil· Sep 13, 2024

    meta-tags-optimizer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Advait Sanchez· Sep 5, 2024

    We added meta-tags-optimizer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Amelia Singh· Aug 24, 2024

    meta-tags-optimizer reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Chaitanya Patil· Aug 4, 2024

    meta-tags-optimizer has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Piyush G· Jul 23, 2024

    meta-tags-optimizer reduced setup friction for our internal harness; good balance of opinion and flexibility.

showing 1-10 of 30

1 / 3