Advanced Features and Pro Tips
Advanced Features and Pro Tips
Take your Wild Feed usage to the next level with these advanced features, professional workflows, and optimization techniques.
Advanced Field Mapping
Complex Nested Structures
Wild Feed’s double underscore notation supports deeply nested objects:
{
"meta__seo__title": "Custom SEO Title",
"meta__seo__description": "Custom meta description",
"meta__social__twitter__card": "summary_large_image",
"meta__social__twitter__creator": "@username",
"meta__social__og__type": "article",
"meta__social__og__image": "https://example.com/image.jpg"
}
Results in:
meta:
seo:
title: "Custom SEO Title"
description: "Custom meta description"
social:
twitter:
card: "summary_large_image"
creator: "@username"
og:
type: "article"
image: "https://example.com/image.jpg"
Array Handling
Arrays are preserved automatically:
{
"tags": ["javascript", "tutorial", "web-development"],
"authors": [
{"name": "John Doe", "role": "Lead Developer"},
{"name": "Jane Smith", "role": "Technical Writer"}
]
}
Professional Workflows
Content Planning Workflow
-
Data Structure Design
- Plan your frontmatter schema first
- Create templates for different content types
- Establish naming conventions
-
Content Creation Process
- Write content in your preferred editor
- Structure data in JSON format
- Use Wild Feed for final conversion and validation
-
Quality Assurance
- Preview all content before export
- Validate frontmatter structure
- Check for consistency across documents
Bulk Content Management
For managing large content libraries:
[
{
"type": "blog-post",
"category": "tutorials",
"series__name": "Web Development Basics",
"series__order": 1,
"title": "Introduction to HTML",
"publish__date": "2024-01-15",
"publish__status": "published",
"content": "..."
},
{
"type": "blog-post",
"category": "tutorials",
"series__name": "Web Development Basics",
"series__order": 2,
"title": "CSS Fundamentals",
"publish__date": "2024-01-22",
"publish__status": "draft",
"content": "..."
}
]
Performance Optimization
Large Dataset Handling
Wild Feed efficiently handles large datasets. For optimal performance:
- Chunk Processing: Break large datasets into smaller batches
- Memory Management: Close unused documents when working with 100+ files
- Export Strategy: Use bulk export for large collections
Content Optimization
Image Handling
Structure image data for easy processing:
{
"images__featured__url": "https://example.com/featured.jpg",
"images__featured__alt": "Descriptive alt text",
"images__featured__width": 1200,
"images__featured__height": 630,
"images__gallery": [
{
"url": "https://example.com/image1.jpg",
"caption": "Image caption"
}
]
}
Link Management
Organize internal and external links:
{
"links__canonical": "https://example.com/articles/advanced-features",
"links__related": [
"/articles/getting-started",
"/articles/seo-best-practices"
],
"links__external": {
"documentation": "https://docs.example.com",
"source": "https://github.com/example/repo"
}
}
Integration Workflows
Static Site Generator Integration
Hugo
# Optimized for Hugo
title: "Article Title"
date: 2024-01-15T10:00:00Z
draft: false
type: "post"
layout: "single"
url: "/blog/article-slug/"
Jekyll
# Optimized for Jekyll
layout: post
title: "Article Title"
date: 2024-01-15 10:00:00 +0000
categories: [blog, tutorial]
permalink: /blog/article-slug/
Gatsby
# Optimized for Gatsby
title: "Article Title"
date: 2024-01-15
template: "post"
slug: "/blog/article-slug"
socialImage: "/media/image.jpg"
CMS Integration
Structure data for headless CMS import:
{
"cms__id": "unique-identifier",
"cms__collection": "blog-posts",
"cms__workspace": "production",
"title": "Article Title",
"slug": "article-slug",
"meta__created": "2024-01-15T10:00:00Z",
"meta__updated": "2024-01-20T15:30:00Z",
"content": "..."
}
Automation and Scripting
Command Line Integration
For automated workflows, export and process files programmatically:
# Example: Automated export and processing
node scripts/export-wild-feed.js
rsync -av exports/ production/content/
git add . && git commit -m "Content update: $(date)"
Data Validation
Implement validation rules:
{
"validation": {
"required_fields": ["title", "date", "content"],
"field_types": {
"date": "iso-date",
"tags": "array",
"published": "boolean"
},
"content_rules": {
"min_length": 100,
"max_length": 10000,
"required_headings": ["h1"]
}
}
}
Error Prevention and Debugging
Common Issues and Solutions
- Invalid JSON: Use JSON validators before importing
- Encoding Issues: Ensure UTF-8 encoding for special characters
- Large Files: Split oversized content into smaller chunks
- Nested Depth: Limit nesting to 5 levels for optimal performance
Quality Checks
Before export, verify:
- All required fields are present
- Dates are in valid format
- Content includes proper headings
- Links are valid and accessible
- Images have alt text
Advanced Export Options
Custom Naming Conventions
Structure filenames based on your data:
{
"filename__pattern": "{date}-{slug}",
"filename__date_format": "YYYY-MM-DD",
"filename__slug_source": "title",
"filename__extension": ".md"
}
Batch Processing
For large-scale operations:
- Prepare data in standardized format
- Process in batches of 50-100 documents
- Validate each batch before proceeding
- Implement error handling and recovery
Conclusion
These advanced features and workflows will help you maximize Wild Feed’s potential for professional content creation and management. Experiment with different approaches to find what works best for your specific use case.
Remember: the key to successful content management is consistency and automation. Use these techniques to build robust, scalable workflows that grow with your needs.
Ready to optimize your content? Start applying these techniques with Wild Feed today!