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Meta Tags Optimizer

OrganizationPopular
nowork-studio
meta-tags-optimizer

Optimize title tags, meta descriptions, Open Graph, and Twitter cards for maximum click-through rate. Generates multiple A/B test variations with character counting and SERP preview. Use when asked to "optimize title tag", "write meta description", "improve CTR", "Open Graph tags", "fix my meta tags", "social media preview", "my click rate is low", "title optimization", or any meta tag task.

Overview

Publishernowork-studio
Repositorynotfair-plugin
Skill namemeta-tags-optimizer
Stars
3.8K
Forks
488
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by nowork-studio on GitHub. Read the source before you install it.

Installation

Install the Meta Tags Optimizer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/nowork-studio/notfair-plugin.git /tmp/notfair-plugin
mkdir -p .claude/skills
cp -r /tmp/notfair-plugin/seo/meta-tags-optimizer .claude/skills/meta-tags-optimizer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Meta Tags Optimizer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Meta Tags Optimizer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Meta Tags Optimizer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Meta Tags Optimizer

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.

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.

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]

Data Sources

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

    markdown
    ### 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

    markdown
    ### 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

    markdown
    ### 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 with content quality standards (CORE-EEAT Benchmark).

    markdown
    ### CORE-EEAT Meta Tag Alignment
    
    | Check | Status | Notes |
    |-------|--------|-------|
    | **C01 Intent Alignment**: Title promise matches actual content delivery | ✅/⚠️/❌ | [Does the title accurately represent what the page delivers?] |
    | **C02 Direct Answer**: Meta description reflects the core answer available in first 150 words | ✅/⚠️/❌ | [Does the description preview the direct answer?] |
    
    **If C01 fails**: Title is misleading — rewrite to match actual content.
    **If C02 fails**: Content may need restructuring to front-load the answer, or description should better reflect available content.
  6. Provide CTR Optimization Tips

    markdown
    ## CTR Optimization Analysis
    
    ### Power Words Used
    - [Word 1] - Creates [emotion/action]
    - [Word 2] - Creates [emotion/action]
    
    ### CTR Boosting Elements
    
    | Element | Present | Impact |
    |---------|---------|--------|
    | Numbers | Yes/No | +20-30% CTR |
    | Current Year | Yes/No | +15-20% CTR |
    | Power Words | Yes/No | +10-15% CTR |
    | Question | Yes/No | +10-15% CTR |
    | Brackets | Yes/No | +10% CTR |
    
    ### A/B Test Suggestions
    
    Test these variations:
    
    **Version A** (Current):
    - Title: [Title]
    - Description: [Description]
    
    **Version B** (Test):
    - Title: [Alternative title]
    - Description: [Alternative description]
    - Hypothesis: [Why this might perform better]

Validation Checkpoints

Input Validation

  • Primary keyword confirmed and matches page content
  • Page type identified (blog/product/landing/service/homepage)
  • Target audience and search intent clearly defined
  • Unique value proposition articulated

Output Validation

  • Title length 50-60 characters (displays fully in SERP)
  • Meta description length 150-160 characters
  • Primary keyword appears in both title and description
  • Open Graph image specified (1200x630px recommended)
  • All HTML syntax valid (no unclosed quotes or tags)
  • Source of each data point clearly stated (~~search console CTR data, ~~SEO tool competitor data, user-provided, or estimated)

Example

User: "Create meta tags for a blog post about 'how to start a podcast in [current year]'"

Output:

markdown
## Meta Tags: How to Start a Podcast ([current year])

### Title Tag
```html
<title>How to Start a Podcast in [current year]: Complete Beginner's Guide</title>

Length: ~55 characters ✅ Keyword: "how to start a podcast" at front ✅ Power Words: "Complete", "Beginner's" ✅

Meta Description

html
<meta name="description" content="Learn how to start a podcast in [current year] with our step-by-step guide. Covers equipment, hosting, recording, and launching your first episode. Start podcasting today!">

Length: ~163 characters ✅ Keyword: Included naturally ✅ CTA: "Start podcasting today!" ✅

Complete meta tag block (with OG, Twitter, Article tags) generated using template from references/meta-tag-code-templates.md.

A/B Test Variations

Title Variation B: "Start a Podcast in [current year]: Step-by-Step Guide (+ Free Checklist)"

Title Variation C: "How to Start a Podcast: [current year] Guide [Equipment + Software + Tips]"

Description Variation B: "Want to start a podcast in [current year]? This guide covers everything: equipment ($100 budget option), best hosting platforms, recording tips, and how to get your first 1,000 listeners."


## Tips for Success

1. **Front-load keywords** - Put important terms at the beginning
2. **Match intent** - Description should preview what page delivers
3. **Be specific** - Vague descriptions get ignored
4. **Test variations** - Small changes can significantly impact CTR
5. **Update regularly** - Add current year, refresh messaging
6. **Check competitors** - See what's working in your SERP


## Reference Materials

- [Meta Tag Formulas](references/meta-tag-formulas.md) — Proven title and description formulas
- [CTR and Social Reference](references/ctr-and-social-reference.md) — Page-type templates, CTR data, OG best practices

## Next Best Skill

- **Primary**: [schema-markup-generator](../schema-markup-generator/SKILL.md) — complete the SERP packaging with structured data.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Meta Tags Optimizer AI skill do?

Optimize title tags, meta descriptions, Open Graph, and Twitter cards for maximum click-through rate. Generates multiple A/B test variations with character counting and SERP preview. Use when asked to "optimize title tag", "write meta description", "improve CTR", "Open Graph tags", "fix my meta tags", "social media preview", "my click rate is low", "title optimization", or any meta tag task.

Why use Meta Tags Optimizer on TypingMind?

Because you install it once and use it with any model. Meta Tags Optimizer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Meta Tags Optimizer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/nowork-studio/notfair-plugin/tree/main/seo/meta-tags-optimizer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Meta Tags Optimizer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Meta Tags Optimizer?

As many as you like. As long as a model supports skills, you can use Meta Tags Optimizer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Meta Tags Optimizer AI skill free?

Yes. It is published on GitHub by nowork-studio under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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