text-ingestion

To normalize raw notes into a standard markdown format, this Skill ingests unpolished .md or .txt files and outputs a structured source.md file. It handles frontmatter extraction, slug generation, and date formatting for downstream processing.

Generating metadata for blog drafts is handled by extracting frontmatter and calculating read time, word count, and topics. The process preserves your original content while appending this generated metadata into a ready-to-pipeline source.md file.

You do not need external APIs to extract frontmatter or generate slugs. The process relies entirely on local file processing to parse your notes or drafts, meaning no external network requests are required to create the standardized source.md output.

You can use local file processing to convert meeting notes by running the ingestion tool with a direct path to your file. It normalizes the mixed content and writes it to a structured output path, making it immediately ready for downstream blog generation.

A limitation when ingesting mixed content drafts is that the tool strictly processes local .md or .txt files and outputs a single source.md file. It normalizes structure and metadata but does not alter the original raw content itself during the ingestion process.