content-asset-creator
Content Asset Creator generates branded HTML marketing collateral including reports, landing pages, and one-pagers from structured data inputs. Use this skill when you need to programmatically produce lead magnets, industry reports, or sales materials with consistent branding, custom statistics, and formatted sections like hero statements, stat grids, comparison tables, and calls-to-action.
git clone --depth 1 https://github.com/gooseworks-ai/goose-skills /tmp/content-asset-creator && cp -r /tmp/content-asset-creator/skills/capabilities/content-asset-creator ~/.claude/skills/content-asset-creatorSKILL.md
# Content Asset Creator
Generates beautiful, branded content assets (reports, landing pages, one-pagers) from structured data. Designed for producing lead magnets, industry reports, and marketing collateral programmatically.
## Quick Start
```
Create a 2-page industry report for Juicebox about "The State of AI Recruiting in 2026".
Use these data points: [list stats]. Brand: Juicebox blue, clean modern design.
```
## Inputs
- **Asset type** (required) — `report`, `landing-page`, `comparison`, `one-pager`
- **Content data** (required) — structured data for the asset (title, sections, stats, narrative)
- **Brand config** (optional) — colors, fonts, logo URL. Defaults to Juicebox brand.
- **Output** — HTML file path (default: `output/[asset-type]-[date].html`)
## Asset Types
### 1. Industry Report (2-3 pages)
A data-forward document with stats, narrative sections, and visualizations.
**Input structure:**
```yaml
type: report
title: "The State of AI Recruiting — 2026"
subtitle: "Data-driven insights on how AI is transforming talent acquisition"
brand:
name: "Juicebox"
primary_color: "#4F46E5" # Indigo/blue
secondary_color: "#10B981" # Green accent
font: "Inter"
logo_url: "https://juicebox.ai/logo.svg"
sections:
- type: hero-stat
stat: "93%"
label: "of recruiters plan to increase AI use in 2026"
source: "LinkedIn Talent Solutions"
- type: narrative
title: "The AI Recruiting Revolution"
body: "AI adoption in recruiting jumped from 26% to 43% in just two years..."
- type: stat-grid
stats:
- { value: "800M+", label: "Profiles searchable by AI" }
- { value: "47%", label: "Reduction in time-to-fill" }
- { value: "10x", label: "Cheaper than LinkedIn Recruiter" }
- type: comparison-table
headers: ["Feature", "Traditional", "AI-Powered"]
rows:
- ["Search method", "Boolean keywords", "Natural language"]
- ["Data sources", "1 (LinkedIn)", "60+ sources"]
- type: cta
headline: "See AI recruiting in action"
body: "Try PeopleGPT free — search 800M+ profiles in natural language"
button_text: "Get Started Free"
button_url: "https://juicebox.ai"
footer:
text: "© 2026 Juicebox. Data sources cited throughout."
```
### 2. Landing Page (single page with CTA)
A single-page marketing asset with a headline, value props, and email capture.
### 3. Comparison Page (side-by-side)
A visual comparison of two products (e.g., Juicebox vs LinkedIn Recruiter).
### 4. One-Pager (quick reference)
A dense, single-page reference sheet (e.g., "PeopleGPT Prompt Library").
## Step-by-Step Process
### Step 1: Choose Generation Method
Check which tools are available (in priority order):
1. **Gamma API** (preferred) — If `GAMMA_API_KEY` is set, use Gamma Generate API v1.0 (GA since Nov 2025). Requires Pro account ($16/mo). Can create presentations, documents, and web pages programmatically. Supports 60+ languages, up to 100K token input. Rate limit: hundreds per hour.
2. **v0.dev Platform API** — If `V0_API_KEY` is set, use Vercel's v0 Platform API (beta). Requires Premium ($20/mo) or Team plan. Generates React + Tailwind code from prompts. Best for landing pages and interactive web content.
3. **Self-hosted HTML** — Fallback: generate HTML directly using Tailwind CSS templates. No external dependency. Full control over output.
### Step 2A: Gamma API Generation (Preferred)
Gamma's Generate API v1.0 creates presentations, documents, and web pages from text prompts.
**API docs:** https://developers.gamma.app/docs/getting-started
```bash
curl -X POST https://api.gamma.app/v1/generate \
-H "Authorization: Bearer $GAMMA_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "<structured content prompt>",
"format": "document",
"theme": "<optional theme ID>"
}'
```
**Tips for Gamma:**
- List your available themes first: `GET /v1/themes`
- Can share via email programmatically
- Supports creating from templates: use `POST /v1/generate-from-template`
- Output can be viewed as a hosted Gamma page or exported
### Step 2B: v0.dev Platform API Generation
v0's Platform API generates React + Tailwind code from natural language prompts.
**API docs:** https://v0.app/docs/api/platform/overview
The workflow: prompt → project → code files → deployment. Output is deployable to Vercel instantly.
```bash
# Create a project with a prompt
curl -X POST https://api.v0.dev/v1/projects \
-H "Authorization: Bearer $V0_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "Create a professional industry report page with..."
}'
```
**Tips for v0:**
- Best for interactive web pages and landing pages
- Output is React/Next.js + Tailwind — can be deployed or converted to static HTML
- Usage-based billing on top of subscription
### Step 2C: Self-Hosted HTML Generation (Fallback)
Generate a self-contained HTML file:
1. **Load the template** for the asset type
2. **Inject content** from the structured data
3. **Apply brand styles** (colors, fonts, logo)
4. **Generate data visualizations** using inline SVG or CSS
5. **Output** as a single HTML file with all styles inlined
**HTML Template Structure:**
```html
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>{{ title }}</title>
<script src="https://cdn.tailwindcss.com"></script>
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700;800&display=swap" rel="stylesheet">
<script>
tailwind.config = {
theme: {
extend: {
colors: {
brand: '{{ primary_color }}',
accent: '{{ secondary_color }}'
},
fontFamily: {
sans: ['Inter', 'sans-serif']
}
}
}
}
</script>
<style>
/* Print styles for PDF conversion */
@media print {
.page-break { page-break-before: always; }
body { -webkit-print-color-adj>
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