Agent skill

Astro Cta Injector

Inject Call-to-Action blocks into Astro site content with intelligent placement strategies.

Install Astro Cta Injector

skills CLI

$ npx skills add nicepkg/ai-workflow --skill astro-cta-injector -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install nicepkg/ai-workflow astro-cta-injector --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .claude/skills && cp -r skills-src/workflows/content-creator-workflow/.claude/skills/astro-cta-injector .claude/skills/astro-cta-injector && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "astro-cta-injector" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/content-creator-workflow/.claude/skills/astro-cta-injector into .claude/skills/astro-cta-injector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "astro-cta-injector", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/nicepkg/ai-workflow/tree/main/workflows/content-creator-workflow/.claude/skills/astro-cta-injector

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add nicepkg/ai-workflow --skill astro-cta-injector -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install nicepkg/ai-workflow astro-cta-injector --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .agents/skills && cp -r skills-src/workflows/content-creator-workflow/.claude/skills/astro-cta-injector .agents/skills/astro-cta-injector && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "astro-cta-injector" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/content-creator-workflow/.claude/skills/astro-cta-injector into .agents/skills/astro-cta-injector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "astro-cta-injector", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add nicepkg/ai-workflow --skill astro-cta-injector -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install nicepkg/ai-workflow astro-cta-injector --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/workflows/content-creator-workflow/.claude/skills/astro-cta-injector .cursor/skills/astro-cta-injector && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "astro-cta-injector" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/content-creator-workflow/.claude/skills/astro-cta-injector into .cursor/skills/astro-cta-injector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "astro-cta-injector", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/nicepkg/ai-workflow.git --path workflows/content-creator-workflow/.claude/skills/astro-cta-injector

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add nicepkg/ai-workflow --skill astro-cta-injector -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install nicepkg/ai-workflow astro-cta-injector --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/workflows/content-creator-workflow/.claude/skills/astro-cta-injector .gemini/skills/astro-cta-injector && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "astro-cta-injector" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/content-creator-workflow/.claude/skills/astro-cta-injector into .gemini/skills/astro-cta-injector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "astro-cta-injector", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install nicepkg/ai-workflow astro-cta-injector

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add nicepkg/ai-workflow --skill astro-cta-injector -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .github/skills && cp -r skills-src/workflows/content-creator-workflow/.claude/skills/astro-cta-injector .github/skills/astro-cta-injector && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "astro-cta-injector" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/content-creator-workflow/.claude/skills/astro-cta-injector into .github/skills/astro-cta-injector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "astro-cta-injector", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add nicepkg/ai-workflow --skill astro-cta-injector -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install nicepkg/ai-workflow astro-cta-injector --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/nicepkg/ai-workflow.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/workflows/content-creator-workflow/.claude/skills/astro-cta-injector .opencode/skills/astro-cta-injector && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "astro-cta-injector" agent skill from https://github.com/nicepkg/ai-workflow/tree/main/workflows/content-creator-workflow/.claude/skills/astro-cta-injector into .opencode/skills/astro-cta-injector/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "astro-cta-injector", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: astro-cta-injector
GitHub stars: 285
Token cost: ~1.1k tokens
SKILL.md length: 328 words
Files: 8 (incl. scripts)
Skills in repo: 61
Repo updated: Jan 20, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Inject Call-to-Action blocks into Astro site content with intelligent placement strategies.

Works in 3 steps: Score Posts for Relevance → Preview Injections → Apply Injections
The user wants to add CTAs
SKILL.md covers Purpose, When to Use This Skill, Prerequisites and Configuration, plus 7 more sections
Runs Python scripts from its folder; calls python

What it does

Astro Cta Injector is an agent skill from nicepkg/ai-workflow. 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.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts (for example `config.example.json`, `reference.md` and `scripts/inject_ctas.py`).

It sits in Writing & Content, covering Static sites and blogs, Blog and article writing and Newsletters. It works with Astro. The repository describes itself as: 🚀 170+ pre-built skills for Claude Code, Cursor, Codex & 14+ AI tools. Stop re-teaching your AI the same things. One command → instant domain expertise. Marketing, SEO, Trading… The licence is MIT.

When your agent uses it

The user wants to add CTAs
Newsletter signups
Product promotions
Any content blocks to blog posts

Example prompts

“/astro-cta-injector”

Requirements

Python 3

Workflow steps

3 steps, taken from the step headings in SKILL.md.

Score Posts for Relevance
Preview Injections
Apply Injections

What it can do on your machine

Read from SKILL.md and the folder at commit d167b41. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
- python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Astro Cta Injector loads about 1.1k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 328 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~86
When it runs · the whole SKILL.md, loaded when a task matches: ~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from nicepkg/ai-workflow at commit d167b41, republished under its MIT licence (© nicepkg). 328 words, ~1,129 tokens.

Download SKILL.mdSave it as .claude/skills/astro-cta-injector/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.

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:

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:

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

Files

SKILL.md and 7 other files (scripts) in workflows/content-creator-workflow/.claude/skills/astro-cta-injector of nicepkg/ai-workflow.

SKILL.md
config.example.json
reference.md
scripts/inject_ctas.py
scripts/preview_injection.py
scripts/score_posts.py
templates/newsletter.html
templates/product.html

Open the folder on GitHubat commit d167b41

Compare with similar skills

Astro Cta Injector next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Astro Cta Injector compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Astro Cta Injector this skillnicepkg/ai-workflow	285	—	~1.1k	Automated safety check: Pass	MIT	8 mo ago
Publishone-ie/one	131	—	~940	Automated safety check: Pass	Custom licence	10 days ago
BlogAgriciDaniel/claude-blog	2.3k	1 repos	~8.6k	Automated safety check: Warn	MIT	yesterday
Figurevectorize-io/hindsight	47k	—	~1.9k	Automated safety check: Pass	MIT	today
Voice Buildercharlie947/social-media-skills	3.8k	—	~3.3k	Automated safety check: Pass	MIT	23 days ago
Blog Post ProcessorJustin3go/justin3go.com	173	—	~1.5k	Automated safety check: Pass	Custom licence	17 days ago

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Questions about Astro Cta Injector

What does Astro Cta Injector do?

Inject Call-to-Action blocks into Astro site content with intelligent placement strategies. Astro Cta Injector is an agent skill from nicepkg/ai-workflow. Inject Call-to-Action blocks into Astro site content with intelligent placement strategies.

When should I use Astro Cta Injector?

Astro Cta Injector fits situations like: the user wants to add CTAs; newsletter signups; product promotions; any content blocks to blog posts.

How do I install Astro Cta Injector in Claude Code?

Run `npx skills add nicepkg/ai-workflow --skill astro-cta-injector -a claude-code`. Or copy the skill folder (workflows/content-creator-workflow/.claude/skills/astro-cta-injector in nicepkg/ai-workflow) into .claude/skills/astro-cta-injector in your project. Claude Code loads it when a task matches its description.

How do I install Astro Cta Injector in Codex?

Run `npx skills add nicepkg/ai-workflow --skill astro-cta-injector -a codex`. Or copy the skill folder (workflows/content-creator-workflow/.claude/skills/astro-cta-injector in nicepkg/ai-workflow) into .agents/skills/astro-cta-injector in your project. Codex loads it when a task matches its description.

Can I use Astro Cta Injector in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nicepkg/ai-workflow --skill astro-cta-injector -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/astro-cta-injector, .gemini/skills/astro-cta-injector, .github/skills/astro-cta-injector and .opencode/skills/astro-cta-injector in your project.

What does Astro Cta Injector need to run?

Going by SKILL.md and its folder, Astro Cta Injector needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Astro Cta Injector access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Astro Cta Injector safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Astro Cta Injector use?

Astro Cta Injector is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Astro Cta Injector use?

About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Astro Cta Injector?

Skills that share tags, products or a category with Astro Cta Injector: Publish (one-ie/one, 131 stars), Blog (AgriciDaniel/claude-blog, 2.3k stars), Figure (vectorize-io/hindsight, 47k stars) and Voice Builder (charlie947/social-media-skills, 3.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Astro Cta Injector?

nicepkg (a GitHub organization) maintains it in nicepkg/ai-workflow, which has 285 GitHub stars. The repository holds 61 skills in this directory. The repository was last updated on January 20, 2026.

Source: nicepkg/ai-workflow on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Astro Cta Injector

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Astro CTA Injector Skill

Purpose

When to Use This Skill

Prerequisites

Configuration

Placement Strategies

CTA Templates

Workflow

Step 1: Score Posts for Relevance

Step 2: Preview Injections

Step 3: Apply Injections

Input Format

Scoring Algorithm

Safety Features

Example Usage

Files

Compare with similar skills

Similar skills

More from nicepkg/ai-workflow

Related

Questions about Astro Cta Injector