astro-cta-injector
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.
Best use case
astro-cta-injector is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using astro-cta-injector should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/astro-cta-injector/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How astro-cta-injector Compares
| Feature / Agent | astro-cta-injector | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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:
```json
{
"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:
```html
<!-- 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
```bash
python scripts/score_posts.py --content-path ./src/content/blog --cta-type newsletter
```
### Step 2: Preview Injections
```bash
python scripts/preview_injection.py --input scored_posts.json --cta-type newsletter
```
### Step 3: Apply Injections
```bash
python scripts/inject_ctas.py --input scored_posts.json --cta-type newsletter
```
## Input Format
Scored posts JSON:
```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