astro-cta-injector

Installation

$npx skills add dragosroua/claude-content-skills --skill astro-cta-injector

Summary

This skill enables an agent to inject Call-to-Action blocks (newsletters, product promotions, custom blocks) into Astro blog posts using relevance scoring and configurable placement strategies. The agent can score posts for CTA suitability, preview changes, and batch-apply injections with automatic backups and dry-run safety.

SKILL.MD

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

StrategyDescriptionBest For
endAfter all contentNon-intrusive CTAs
after-paragraph-50%After 50% of paragraphsMid-content engagement
after-paragraph-60%After 60% of paragraphsLater engagement
after-headingAfter first H2Early engagement
before-conclusionBefore last paragraphStrong 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