article-extractor

Extract MQL5 articles by providing a single URL, user ID, or file list to the Skill. It retrieves and organizes articles into structured markdown files with metadata, supporting single extractions, batch processing with checkpointing, and author-based discovery across the mql5.com domain.

Yes. Batch extraction accepts a file list of article URLs or IDs, processes them with checkpointing to resume interrupted jobs, and outputs all articles to a configurable directory with metadata-rich markdown artifacts and hierarchical organization.

The Skill accepts three input modalities: direct URLs, author or user IDs for auto-discovery, and file lists for batch processing. All inputs are scoped to the mql5.com domain to ensure consistency.

Extracted articles are saved as metadata-rich markdown files in a structured output hierarchy. Each file preserves article content, author information, and references, enabling direct use for training, research, and algorithmic trading documentation.

Yes. The Skill targets MQL5 features, MetaTrader API documentation, and Python MT5 integration resources hosted on mql5.com, making it suitable for researching trading frameworks and algorithmic trading resources.

Batch extraction includes checkpointing, allowing you to resume from the last successfully processed article without reprocessing completed items or losing progress.