Auto Blog Scripts

Analysed the manual blog publishing workflow and identified repetitive tasks: content formatting, image resizing, metadata generation, and scheduling.

Built the foundational Python scripts for content parsing, Markdown-to-HTML conversion, and front matter generation with configurable templates.

Added automated image optimisation — resizing, compression, WebP conversion, and alt-text generation from filenames.

Implemented a scheduling system that auto-publishes posts at optimal times. Added draft management and preview generation.

Built automatic meta description generation, slug creation, and internal linking suggestions based on keyword analysis.

Added comprehensive error handling with retry logic for API calls. Implemented structured logging for debugging failed automation runs.

Created unit tests for all content transformation functions. Added validation checks for malformed Markdown and missing required fields.

Removed all hardcoded API keys and secrets. Migrated to environment variables with .env support. Added .env.example for onboarding.

Wrote usage guide with examples, contribution guidelines, and architecture overview. Published to GitHub with clear setup instructions.