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astro-cta-injector

@dragosroua/claude-content-skills
7
0

Inject Call-to-Action blocks into Astro site content with intelligent placement strategies. Use when the user wants to add CTAs, newsletter signups, product promotions, or any content blocks to blog posts. Supports multiple placement strategies (end, after 50%, after 60%), content scoring for relevance, and dry-run preview.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name astro-cta-injector
description Inject Call-to-Action blocks into Astro site content with intelligent placement strategies. Use when the user wants to add CTAs, newsletter signups, product promotions, or any content blocks to blog posts. Supports multiple placement strategies (end, after 50%, after 60%), content scoring for relevance, and dry-run preview.

Astro CTA Injector Skill

Purpose

This skill injects Call-to-Action (CTA) blocks into Astro site content. It supports:

  • Multiple CTA types (newsletter, product, custom)
  • Intelligent placement strategies
  • Content-based relevance scoring
  • Batch processing with preview

When to Use This Skill

  • User asks to "add CTAs to blog posts"
  • User wants to "inject newsletter signup" into content
  • User mentions "add product promotion" to posts
  • User needs to batch-add any type of content block to posts
  • User wants to "add calls to action" to their Astro site

Prerequisites

  • Astro site with content in .astro or .md files
  • Python 3.10+
  • BeautifulSoup4 for HTML parsing

Configuration

Create a config.json in the skill directory:

{
  "content_path": "./src/content/blog",
  "file_patterns": ["*.astro", "*.md"],
  "cta_types": {
    "newsletter": {
      "template": "newsletter.html",
      "default_placement": "after-paragraph-50%",
      "keywords": ["tip", "guide", "learn", "strategy"]
    },
    "product": {
      "template": "product.html",
      "default_placement": "end",
      "keywords": ["productivity", "task", "habit", "goal"]
    }
  },
  "output": {
    "state_file": "./state/cta_injection_progress.json",
    "backup_dir": "./backups",
    "report_file": "./reports/cta_injection_report.md"
  },
  "dry_run": true
}

Placement Strategies

Strategy Description Best For
end After all content Non-intrusive CTAs
after-paragraph-50% After 50% of paragraphs Mid-content engagement
after-paragraph-60% After 60% of paragraphs Later engagement
after-heading After first H2 Early engagement
before-conclusion Before last paragraph Strong finish

CTA Templates

Templates are HTML files in the templates/ directory:

<!-- templates/newsletter.html -->
<aside class="cta-newsletter" data-cta-type="newsletter">
  <h3>{{title}}</h3>
  <p>{{description}}</p>
  <form action="{{form_url}}" method="post">
    <input type="email" placeholder="Your email" required />
    <button type="submit">Subscribe</button>
  </form>
</aside>

Variables:

  • {{title}} - CTA headline
  • {{description}} - CTA body text
  • {{form_url}} - Form submission URL
  • {{product_url}} - Product link
  • {{image_url}} - Image source

Workflow

Step 1: Score Posts for Relevance

python scripts/score_posts.py --content-path ./src/content/blog --cta-type newsletter

Step 2: Preview Injections

python scripts/preview_injection.py --input scored_posts.json --cta-type newsletter

Step 3: Apply Injections

python scripts/inject_ctas.py --input scored_posts.json --cta-type newsletter

Input Format

Scored posts JSON:

{
  "posts": [
    {
      "file_path": "./src/content/blog/my-post.astro",
      "title": "My Blog Post",
      "relevance_score": 8.5,
      "cta_type": "newsletter",
      "placement": "after-paragraph-50%",
      "cta_data": {
        "title": "Get More Tips Like This",
        "description": "Subscribe to my weekly newsletter"
      }
    }
  ]
}

Scoring Algorithm

Posts are scored for CTA relevance based on:

  1. Keyword density - How many relevant keywords appear
  2. Content length - Longer posts = better candidates
  3. Topic match - Title and content topic alignment
  4. Existing CTAs - Skip posts that already have CTAs

Scores range from 0-10. Default threshold: 5.0

Safety Features

  • Dry-run mode by default
  • Backup creation before any modifications
  • Duplicate detection - Won't inject if CTA already exists
  • Rollback capability - Restore from backups
  • Preview diffs - See exactly what will change

Example Usage

User: "Add a newsletter signup CTA to all my productivity-related blog posts"

Claude will:

  1. Scan content directory for posts
  2. Score posts for "newsletter" relevance using productivity keywords
  3. Generate CTA HTML from template
  4. Show preview of changes
  5. Ask for confirmation
  6. Inject CTAs into matching posts
  7. Report results