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:
< 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: Keyword density - How many relevant keywords appear Content length - Longer posts = better candidates Topic match - Title and content topic alignment 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: Scan content directory for posts Score posts for "newsletter" relevance using productivity keywords Generate CTA HTML from template Show preview of changes Ask for confirmation Inject CTAs into matching posts Report results